Gas Turbines are among the most important energy systems for aviation and thermal-based power generation.The performance of gas turbine intakes with S-shaped diffusers is vulnerable to flow separation,reversal flow,an...Gas Turbines are among the most important energy systems for aviation and thermal-based power generation.The performance of gas turbine intakes with S-shaped diffusers is vulnerable to flow separation,reversal flow,and pressure distortion,mainly in aggressive S-shaped diffusers.Severalmethods,including vortex generators and energy promoters,have been proposed and investigated both experimentally and numerically.This paper compiles a review of experimental investigations that have been performed and reported to mitigate flow separation and restore system performance.The operational principles,classifications,design geometries,and performance parameters of Sshaped diffusers are presented to facilitate the analysis and understanding of the influence of each mitigation method on flowenhancement in S-shaped diffusers.Theinfluencing design parameters on the performance of the S-shaped diffuser and the findings achieved by various experimental investigations are discussed and compared.The review concludes that reducing the intake length reduces the size and weight of the gas turbine,leading to a higher power-to-weight ratio.However,the main challenge in shortening the S-shaped diffusers is the flow separation in the high-curvature section,which must be prevented to maintain high performance.Prevention can be achieved through flow control methods,which are categorized into passive and aggressive methods.The static pressure recovery coefficient,total pressure loss coefficient,ideal static pressure coefficient,distortion coefficient,and skin friction coefficient are the primary performance evaluation and comparison parameters between the experimentally investigated mitigation methods.The new trend in S-shaped diffuser studies includes the integration of computational and data-driven methods.展开更多
The thermocline energy storage tank(TEST)serves as a crucial component in thermal energy storage systems,utilizing the working fluid that enters through a diffuser to store and harness energy.However,the conventional ...The thermocline energy storage tank(TEST)serves as a crucial component in thermal energy storage systems,utilizing the working fluid that enters through a diffuser to store and harness energy.However,the conventional double-plate radial diffuser is ill-suited for a single-medium TEST’s full tank storage due to its unidirectional fluid inflow.There has been a notable lack of optimization analysis of diffusers.Two innovative tubular diffuser designs with reduced cross-sectional areas have been introduced:the annular-arranged diffuser(AAD)and the cross-arranged diffuser(CAD).To elucidate the impact of diffuser designs on energy storage efficiency,a 3D transient computational fluid dynamics(CFD)model was established to simulate a thermocline formation under two diffuser types.The model was validated against experimental data.Results showed that the thermocline of AAD was 11.39%thinner than that of a traditional double-plate diffuser.In the process of charging and discharging,the time-varying thermocline and factors influencing thermocline thickness were analyzed.Results indicate that in the mixed dominant region,increased turbulent kinetic energy correlates with reduced thermocline thickness.Notably,the AAD’s stable thermocline was 4.23%and 5.41%thinner than the CAD’s during charging and discharging,respectively,making the AAD preferable for engineering applications.The effects of tube diameter and orifice opening angle on temperature stratification performance were also examined.The findings suggest that an inclined impact jet and large-diameter tubes are more conducive to temperature stratification.Moreover,an orifice diameter optimization method was developed,which can decrease the thermocline by 6.78%.展开更多
The influence of diffuser parameters, including the riser spacing, port number in a riser, injection angle, port arrangement, etc., on the surface initial dilution is experimentally investigated. The relative density ...The influence of diffuser parameters, including the riser spacing, port number in a riser, injection angle, port arrangement, etc., on the surface initial dilution is experimentally investigated. The relative density difference between the effluent and the sea water in the model is the same as that in the prototype, and the effect of the cross current is simulated by an inverse model technique. Based on the result analysis, the arrangement with more ports in a riser and larger riser spacing is suggested to save construction cost. The relationship between the Reynolds number based on the port diameter and velocity, and the surface initial dilution is also explored, and the critical Reynolds number is proposed.展开更多
Multiport diffusers are the effective engineering devices installed at the marine outfall systems for the steady discharge of effluent streams from the modern coastal plants, such as municipal sewage treatment, power ...Multiport diffusers are the effective engineering devices installed at the marine outfall systems for the steady discharge of effluent streams from the modern coastal plants, such as municipal sewage treatment, power generation and seawater desalination. A far field mathematical model using a two-dimensional advection-diffusion equation is presented for continuous discharges of effluent streams from multiple outfalls on a uniformly sloping beach with a current parallel to the shoreline. The analytical solutions are illustrated graphically to replicate and capture the merging process of effluent plumes in shallow coastal waters, and then asymptotic approximation will be made to the maximum shoreline’s concentration to formulate effluent discharge plume dilution from a multiport diffuser.展开更多
Axial flow diffuser,which is located downstream of the axial compressor in the jet engine,is always regarded as a part of the combustor component.The diffuser performance is shown to be greatly influenced by the incom...Axial flow diffuser,which is located downstream of the axial compressor in the jet engine,is always regarded as a part of the combustor component.The diffuser performance is shown to be greatly influenced by the incoming flow conditions.However,due to the independent design modules of combustor and compressor,simplified incoming flow conditions(SIFC,circumferential averaged flow parameters)are commonly used in the combustor design.Moreover few researchers have noticed the effect of accurate incoming flow conditions(AIFC,actual compressor outlet flow parameters)on the performance of the diffuser and combustor.This oversight frequently leads to unnecessary diffuser design deviations.In this paper,a 2.5-stage high-load axial compressor coupled with the downstream diffuser is numerically investigated to clarify the effect of SIFC and AIFC on the diffuser performance.The results show significant performance difference of the diffuser with the two inflow condition treatment methods,where the diffuser with AIFC presents an approximately five times higher of total pressure loss coefficient(Cp,t)than that of the SIFC(i.e.Cp,t,SIFC=0.326%(hub divergence angleα=14°)VS Cp,t,AIFC=1.61%(hub divergence angleα=7°)at the compressor peak efficiency point),and the optimal divergence angle distribution on the shroud and hub of diffuser with the SIFC and AIFC also shows a great deviation(αOPT,AIFC=7°VSαOPT,SIFC=14°).The greater mixing intensity is manifested in the diffuser flow under AIFC due to its circumferential upstream non-uniformity characteristics such as blade wake,which not only increases flow losses but also facilitates flow deceleration.As the compressor operates from peak efficiency point to near stall point,the total pressure loss and static pressure recovery ability of the diffuser under AIFC present more sensitive to the variations of diffuser wall divergence angle distribution.Therefore,for the purpose of improving the design art of axial flow diffuser used for aero gas turbine,the integrated consideration of diffuser and its upstream compressor is recommended due to the accurate flow conditions.展开更多
Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the so...Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the source data rather than the complete set of bits(symbols).However,traditional deep-learning-based SemCom systems present challenges such as limited generalization,low robustness,and inadequate reasoning capabilities,primarily due to the inherently discriminative nature of deep neural networks.To address these limitations,generative artificial intelligence(GAI)is seen as a promising solution,offering notable advantages in learning complex data distributions,transforming data between high-and low-dimensional spaces,and generating high-quality content.This paper explores the applications of GAI in SemCom and presents a comprehensive study.It begins by introducing three widely used SemCom systems enabled by classical GAI models:variational autoencoders,generative adversarial networks,and diffusion models.For each system,the fundamental concept of the GAI model,the corresponding SemCom architecture,and a literature review of recent developments are provided.Subsequently,a novel generative SemCom system is proposed,incorporating cutting-edge GAI technology—large language models(LLMs).This system features LLM-based artificial intelligence(AI)agents at both the transmitter and receiver,which act as“brains”to enable advanced information understanding and content regeneration capabilities,respectively.Unlike traditional systems that focus on bitstream recovery,this design allows the receiver to directly generate the desired content from the coded semantic information sent by the transmitter.As a result,the communication paradigm shifts from“information recovery”to“information regeneration,”marking a new era in generative SemCom.A case study on point-to-point video retrieval is presented to demonstrate the effectiveness of the proposed system,showing a 99.98%reduction in communication overhead and a 53%improvement in average retrieval accuracy compared to traditional communication systems.Furthermore,four typical application scenarios for generative SemCom are described,followed by a discussion of three open issues for future research.In summary,this paper provides a comprehensive set of guidelines for applying GAI in SemCom,laying the groundwork for the efficient deployment of generative SemCom in future wireless networks.展开更多
This study integrates experimental investigation with molecular dynamics simulations to elucidate the hydrogen transport mechanisms in polyetheretherketone(PEEK)and polytetrafluoroethylene(PTFE),offering fundamental i...This study integrates experimental investigation with molecular dynamics simulations to elucidate the hydrogen transport mechanisms in polyetheretherketone(PEEK)and polytetrafluoroethylene(PTFE),offering fundamental insights into the barrier properties of high-performance polymeric materials.Experimental results demonstrate that PEEK exhibits superior hydrogen barrier performance compared to PTFE at both ambient and elevated temperatures.However,detailed molecular dynamics simulations uncover a distinctive,enthalpy-driven"high solubility-low diffusivity"transport mechanism:although PEEK displays higher hydrogen solubility due to its stronger thermodynamic affinity,its diffusion coefficient is markedly lower than that of PTFE.This mechanism remains operative across a broad operational temperature range(233 K to358 K),yet its influence on overall permeability is strongly temperature-dependent.At room and high temperatures,the exceptionally low diffusivity of PEEK governs the entire permeation process,establishing its effectiveness as a high-performance hydrogen barrier material.In contrast,under low-temperature conditions(e.g.,233 K),the general suppression of diffusion allows the high solubility of PEEK to dominate,resulting in greater overall permeability than PTFE and giving rise to a performance“reversal”phenomenon.This distinct transport behavior originates from the strong non-covalent interactions between hydrogen molecules and the aromatic rings as well as polar functional groups present in the amorphous regions of PEEK,which simultaneously enhance solubility and impose significant kinetic energy barriers.The"structure-mechanism"correlation framework established in this work provides a robust theoretical foundation for the rational design of next-generation hydrogen barrier materials tailored to specific operational temperature requirements.展开更多
Mesenchymal stromal cell transplantation is an effective and promising approach for treating various systemic and diffuse diseases.However,the biological characteristics of transplanted mesenchymal stromal cells in hu...Mesenchymal stromal cell transplantation is an effective and promising approach for treating various systemic and diffuse diseases.However,the biological characteristics of transplanted mesenchymal stromal cells in humans remain unclear,including cell viability,distribution,migration,and fate.Conventional cell tracing methods cannot be used in the clinic.The use of superparamagnetic iron oxide nanoparticles as contrast agents allows for the observation of transplanted cells using magnetic resonance imaging.In 2016,the National Medical Products Administration of China approved a new superparamagnetic iron oxide nanoparticle,Ruicun,for use as a contrast agent in clinical trials.In the present study,an acute hemi-transection spinal cord injury model was established in beagle dogs.The injury was then treated by transplantation of Ruicun-labeled mesenchymal stromal cells.The results indicated that Ruicunlabeled mesenchymal stromal cells repaired damaged spinal cord fibers and partially restored neurological function in animals with acute spinal cord injury.T2*-weighted imaging revealed low signal areas on both sides of the injured spinal cord.The results of quantitative susceptibility mapping with ultrashort echo time sequences indicated that Ruicun-labeled mesenchymal stromal cells persisted stably within the injured spinal cord for over 4 weeks.These findings suggest that magnetic resonance imaging has the potential to effectively track the migration of Ruicun-labeled mesenchymal stromal cells and assess their ability to repair spinal cord injury.展开更多
Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in t...Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in the optical path. We demonstrate an optical diffractive decoder with electronic encoding to accurately transfer the optical information of interest, corresponding to, e.g., any arbitrary input object or message, through unknown random phase diffusers along the optical path. This hybrid electronic-optical model, trained using supervised learning, comprises a convolutional neural network-based electronic encoder and successive passive diffractive layers that are jointly optimized. After their joint training using deep learning,our hybrid model can transfer optical information through unknown phase diffusers, demonstrating generalization to new random diffusers never seen before. The resulting electronic-encoder and optical-decoder model was experimentally validated using a 3D-printed diffractive network that axially spans <70λ, whereλ = 0.75 mm is the illumination wavelength in the terahertz spectrum, carrying the desired optical information through random unknown diffusers. The presented framework can be physically scaled to operate at different parts of the electromagnetic spectrum, without retraining its components, and would offer low-power and compact solutions for optical information transfer in free space through unknown random diffusive media.展开更多
Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers.Here,we present a computer-free,all-optical image reconstruction method...Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers.Here,we present a computer-free,all-optical image reconstruction method to see through random diffusers at the speed of light.Using deep learning,a set of transmissive diffractive surfaces are trained to all-optically reconstruct images of arbitrary objects that are completely covered by unknown,random phase diffusers.After the training stage,which is a one-time effort,the resulting diffractive surfaces are fabricated and form a passive optical network that is physically positioned between the unknown object and the image plane to all-optically reconstruct the object pattern through an unknown,new phase diffuser.We experimentally demonstrated this concept using coherent THz illumination and all-optically reconstructed objects distorted by unknown,random diffusers,never used during training.Unlike digital methods,all-optical diffractive reconstructions do not require power except for the illumination light.This diffractive solution to see through diffusers can be extended to other wavelengths,and might fuel various applications in biomedical imaging,astronomy,atmospheric sciences,oceanography,security,robotics,autonomous vehicles,among many others.展开更多
Inverse design of advanced materials represents a pivotal challenge in materials science.Leveraging the latent space of Variational Autoencoders(VAEs)for material optimization has emerged as a significant advancement ...Inverse design of advanced materials represents a pivotal challenge in materials science.Leveraging the latent space of Variational Autoencoders(VAEs)for material optimization has emerged as a significant advancement in the field of material inverse design.However,VAEs are inherently prone to generating blurred images,posing challenges for precise inverse design and microstructure manufacturing.While increasing the dimensionality of the VAE latent space can mitigate reconstruction blurriness to some extent,it simultaneously imposes a substantial burden on target optimization due to an excessively high search space.To address these limitations,this study adopts a Variational Autoencoder guided Conditional Diffusion Generative Model(VAE-CDGM)framework integrated with Bayesian optimization to achieve the inverse design of composite materials with targeted mechanical properties.The VAE-CDGM model synergizes the strengths of VAEs and Denoising Diffusion Probabilistic Models(DDPM),enabling the generation of high-quality,sharp images while preserving a manipulable latent space.To accommodate varying dimensional requirements of the latent space,two optimization strategies are proposed.When the latent space dimensionality is excessively high,SHapley Additive exPlanations(SHAP)sensitivity analysis is employed to identify critical latent features for optimization within a reduced subspace.Conversely,direct optimization is performed in the low-dimensional latent space of VAE-CDGM when dimensionality is modest.The results demonstrate that both strategies accurately achieve the targeted design of composite materials while circumventing the blurred reconstruction flaws of VAEs,which offers a novel pathway for the precise design of advanced materials.展开更多
Helium-bearing shale reservoirs are gaining attention as unconventional strategic resources,yet the fundamental mechanisms governing helium occurrence and migration remain poorly resolved.In this study,we integrate hi...Helium-bearing shale reservoirs are gaining attention as unconventional strategic resources,yet the fundamental mechanisms governing helium occurrence and migration remain poorly resolved.In this study,we integrate high-pressure adsorption–diffusion experiments(308 K,1300 psi)with molecular simulations under reservoir-relevant conditions(70 MPa,403–423 K)to investigate helium behavior in organic-rich shale.Results show that during CH4–He co-adsorption,methane preferentially occupies adsorption sites,thereby reducing the adsorption capacity of helium.Meanwhile,molecular simulations indicate that methane enhances helium’s near-wall residence(adsorption-layer fraction)through confinement and steric hindrance within nanopores.In this stage,varying helium concentration from 0.05%to 5%yields a limited impact on the overall diffusion coefficient.However,during desorption,helium shows a sharp mobility enhancement,and the diffusion coefficient increases from 0.3×10 to 17×10−12m2/s.This increase is attributed to methane evacuation and weak helium binding.Interaction energy analysis reveals that clay minerals dominate helium retention,and increasing methane content strongly non-linear enhances He–shale interactions as helium concentration decreases from 100%to 5%.These findings clarify helium’s occurrence state and its competitive dynamics with methane,offering molecular-level insights into the potential for helium preservation and co-production in CH4-rich shale systems.展开更多
Diffuse alveolar hemorrhage(DAH)is a lifethreatening clinical condition characterized by bleeding into alveolar spaces,resulting in diffuse pulmonary infiltrates,hemoptysis,and hypoxemic respiratory failure.The etiolo...Diffuse alveolar hemorrhage(DAH)is a lifethreatening clinical condition characterized by bleeding into alveolar spaces,resulting in diffuse pulmonary infiltrates,hemoptysis,and hypoxemic respiratory failure.The etiologies of DAH include,but are not limited to,hematologic abnormalities(e.g.,thrombocytopenia and coagulopathies),autoimmune diseases(e.g.,vasculitis and systemic lupus erythematosus),and toxic or drug-induced lung injury.展开更多
Si/Al-rich coal ash tends to generate refractory minerals during gasification,leading to elevated ash fusion temperatures(AFTs)and viscosity.This increases the risk of slagging in entrained-flow gasifiers.Previous stu...Si/Al-rich coal ash tends to generate refractory minerals during gasification,leading to elevated ash fusion temperatures(AFTs)and viscosity.This increases the risk of slagging in entrained-flow gasifiers.Previous studies have reported that the regulation mechanism of high-alumina coal(HAC)by low-AFT coal and transformation of corundum and mullite into eutectic are key factors in improving ash fusibility.However,coal ash has a complex composition,and other components of HAC may affect the melting transformation paths of minerals.In this study,high-purity corundum and mullite were introduced into ash,and the changes during the heating process of coal ash with minerals were investigated.The melting behaviour of two minerals and their impact on the melt structure at high temperature were examined to explain the effect of the two minerals on ash fusibility.The results indicate that increasing the corundum residue in the coal ash,leading to elevated AFTs.Variations in the corundum residue were closely related to the transformation paths of the two minerals during melting.Mullite decomposed into the planar laminar structure(Q3)of Si-O network structures during instantaneous heating.The Q3 species migrated into the coal ash melt,increasing the Al concentration gradient between the liquid phase and corundum derived from mullite;by contrast,the added corundum developed a boundary layer upon corrosion by the molten phase,reducing the Al concentration gradient in solid—liquid phases and increasing the decomposition time of corundum.The interaction between the mineral and liquid phases in coal ash formed a corundum-containing suspension during the melting process,thereby increasing the AFT of ash.Therefore,promoting mullite formation instead of corundum in HAC helps lower AFT for gasification.展开更多
The fast solution of linear equations has always been one of the hot spots in scientific computing.A kind of the diagonal matrix splitting iteration methods are provided,which is different from the classical matrix sp...The fast solution of linear equations has always been one of the hot spots in scientific computing.A kind of the diagonal matrix splitting iteration methods are provided,which is different from the classical matrix splitting methods.Taking the decomposition of the diagonal elements for coefficient matrix as the key point,some new preconditioners are constructed.Taking the tri-diagonal coefficient matrix as an example,the convergence domains and optimal relaxation factor of the new method are analyzed theoretically.The presented new iteration methods are applied to solve linear algebraic equations,even 2D and 3D diffusion problems with the fully implicit discretization.The results of numerical experiments are matched with the theoretical analysis,and show that the iteration numbers are reduced greatly.The superiorities of presented iteration methods exceed some classical iteration methods dramatically.展开更多
The evolution of the γ'-Ni3(Al,Ti)phase in superalloys is governed by a coupled coalescence-ripening mechanism driven by elemental diffusion.In this study,thermal exposure experiments were performed at 750℃an...The evolution of the γ'-Ni3(Al,Ti)phase in superalloys is governed by a coupled coalescence-ripening mechanism driven by elemental diffusion.In this study,thermal exposure experiments were performed at 750℃and 800℃for durations ranging from 100 to 20,000 h.The γ'phase underwent coalescence-ripening,with its morphology evolving from small spherical particles to elliptical and finally to large spherical particles.During this process,high chemical potential gradients were observed around small-diameter γ'phases and at the long-axis ends of elliptical γ'phases.These gradients drove the dissolution of smaller γ'phases by larger ones and the evolution of elliptical γ'into spherical ones.Concurrently,the Ni/(Al+Ti)ratio in the γ'phase decreased from 3.26 to 3.02 during exposure at 800℃.High-resolution scanning transmission electron microscopy(HR-STEM)analysis revealed complex atomic arrangements at the γ/γ'interface and the dislocation,featuring variations in interplanar distance and abundant edge dislocations,which serve as efficient pathways for atomic diffusion.Moreover,as the γ'phase coarsened,the γ/γ'interfaces remained coherent,with the lattice mismatch gradually approaching zero.Geometric phase analysis(GPA)indicated a significant relaxation of elastic strain at these interfaces.Based on the change in Al concentration at the γ/γ'interfaces,the interfacial energy decreased by approximately 3 times between 100 and 20,000 h of exposure at 800℃.This study provides foundational insights for a deeper understanding of elemental diffusion mechanisms in superalloys.展开更多
High-voltage Li-rich Mn-based oxide(LRMO)cathodes are promising for breaking through the energy density limits of lithium-ion batteries,yet their practical application remains limited by electrochemical performance de...High-voltage Li-rich Mn-based oxide(LRMO)cathodes are promising for breaking through the energy density limits of lithium-ion batteries,yet their practical application remains limited by electrochemical performance degradation caused by unstable cathode-electrolyte interphase(CEI)evolution during longterm cycling.To address this issue,we propose a novel surface modification strategy using La0.7Sr0.3MnO3-σ(LSMO)nanodots,which exhibit high electronic co nductivity and excellent corrosion resistance.These nanodots act as stable anchoring sites,facilitating the formation of a robust CEI on LRMO,The LSMOmodified cathode demonstrates significantly improved anionic redox reversibility,effectively mitigating transition metal migration and lattice oxygen loss.Furthermore,the optimized interfacial electrochemical kinetics ensure sustained rapid Li+diffusion throughout cycling,while the formation of a stable trilayer CEI structure suppresses electrolyte decomposition.Benefiting from these synergistic effects,the LSMO nanodot-engineered LRMO cathode delivers outstanding cycling stability,retaining 97.4%capacity after 300 cycles at 1 C.This work not only highlights the critical role of nanodot heterostructures in stabilizing CEI but also provides a new approach to designing high-voltage cathodes with superior interfacial compatibility and long-term durability.展开更多
Brazing of magnesium(Mg)alloys is critical for lightweight structural application,but the inherent brittleness of intermetallic compounds(IMCs)formed in conventional Mg alloy fillers severely limits joint reliability ...Brazing of magnesium(Mg)alloys is critical for lightweight structural application,but the inherent brittleness of intermetallic compounds(IMCs)formed in conventional Mg alloy fillers severely limits joint reliability and precision.In this work,a novel in situ self-generating Mg-Zn filler was developed through rolling compounding and diffusion reactions to enable low-temperature precision brazing.The filler significantly enhances joint performance,achieving a maximum shear strength of 54.6 MPa.This exceptional strength originates from the formation of anα-Mg/Mg7Zn3(MgZn2)soft-hard biphasic heterostructure during brazing solidification.The ductileα-Mg phase effectively blunts crack tips,suppresses crack propagation,and relieves stress concentration in the hard-brittle Mg7Zn3(MgZn2)phases,improving overall toughness and reliability.Meanwhile,rapid Zn diffusion during brazing induces atomic size mismatch within theα-Mg matrix,generating lattice distortion and dislocation proliferation.These structural defects lower the nucleation barrier of IMCs and promote the formation and localized melting of Mg7Zn3,which triggers gradient melting of the filler and enables effective low-temperature joining.This work provides a new filler design strategy and theoretical insights for advancing precision brazing of lightweight Mg alloys.展开更多
The impact of interstitial carbon on recrystallization behavior was investigated in designed carbide-free FeMnCoNiCx high-entropy alloys(HEAs)by utilizing weak carbide-forming elements.The results indicate that rec...The impact of interstitial carbon on recrystallization behavior was investigated in designed carbide-free FeMnCoNiCx high-entropy alloys(HEAs)by utilizing weak carbide-forming elements.The results indicate that recrystallization and grain growth are both effectively facilitated in carbon-containing high-entropy alloys.Under identical cold rolling conditions,carbon-containing HEAs exhibit higher dislocation density and deformation stored energy,which facilitates the recrystallization behavior.Meanwhile,the activation energy for grain growth in carbon-containing alloys is lower than that in carbon-free alloys.Diffusion couple experiments reveal that the addition of carbon increases the diffusion coefficients of metallic elements,thereby reducing the activation energy for grain growth and consequently accelerating grain coarsening.This phenomenon stands in sharp contrast to the conventional understanding,in which carbon suppresses recrystallization by forming carbide secondary phases that pin grain boundaries.展开更多
摘要Gas Turbines are among the most important energy systems for aviation and thermal-based power generation.The performance of gas turbine intakes with S-shaped diffusers is vulnerable to flow separation,reversal flow,and pressure distortion,mainly in aggressive S-shaped diffusers.Severalmethods,including vortex generators and energy promoters,have been proposed and investigated both experimentally and numerically.This paper compiles a review of experimental investigations that have been performed and reported to mitigate flow separation and restore system performance.The operational principles,classifications,design geometries,and performance parameters of Sshaped diffusers are presented to facilitate the analysis and understanding of the influence of each mitigation method on flowenhancement in S-shaped diffusers.Theinfluencing design parameters on the performance of the S-shaped diffuser and the findings achieved by various experimental investigations are discussed and compared.The review concludes that reducing the intake length reduces the size and weight of the gas turbine,leading to a higher power-to-weight ratio.However,the main challenge in shortening the S-shaped diffusers is the flow separation in the high-curvature section,which must be prevented to maintain high performance.Prevention can be achieved through flow control methods,which are categorized into passive and aggressive methods.The static pressure recovery coefficient,total pressure loss coefficient,ideal static pressure coefficient,distortion coefficient,and skin friction coefficient are the primary performance evaluation and comparison parameters between the experimentally investigated mitigation methods.The new trend in S-shaped diffuser studies includes the integration of computational and data-driven methods.
基金supported by the National Natural Science Foundation of China(No.52375274)the Zhejiang Provincial Natural Science Foundation of China(No.LD21E050003)+1 种基金the Key R&D Program of Zhejiang Province(No.2023C01229)the Central Government Fund for Regional Science and Technology Development of China(No.2023ZY1033).
摘要The thermocline energy storage tank(TEST)serves as a crucial component in thermal energy storage systems,utilizing the working fluid that enters through a diffuser to store and harness energy.However,the conventional double-plate radial diffuser is ill-suited for a single-medium TEST’s full tank storage due to its unidirectional fluid inflow.There has been a notable lack of optimization analysis of diffusers.Two innovative tubular diffuser designs with reduced cross-sectional areas have been introduced:the annular-arranged diffuser(AAD)and the cross-arranged diffuser(CAD).To elucidate the impact of diffuser designs on energy storage efficiency,a 3D transient computational fluid dynamics(CFD)model was established to simulate a thermocline formation under two diffuser types.The model was validated against experimental data.Results showed that the thermocline of AAD was 11.39%thinner than that of a traditional double-plate diffuser.In the process of charging and discharging,the time-varying thermocline and factors influencing thermocline thickness were analyzed.Results indicate that in the mixed dominant region,increased turbulent kinetic energy correlates with reduced thermocline thickness.Notably,the AAD’s stable thermocline was 4.23%and 5.41%thinner than the CAD’s during charging and discharging,respectively,making the AAD preferable for engineering applications.The effects of tube diameter and orifice opening angle on temperature stratification performance were also examined.The findings suggest that an inclined impact jet and large-diameter tubes are more conducive to temperature stratification.Moreover,an orifice diameter optimization method was developed,which can decrease the thermocline by 6.78%.
摘要The influence of diffuser parameters, including the riser spacing, port number in a riser, injection angle, port arrangement, etc., on the surface initial dilution is experimentally investigated. The relative density difference between the effluent and the sea water in the model is the same as that in the prototype, and the effect of the cross current is simulated by an inverse model technique. Based on the result analysis, the arrangement with more ports in a riser and larger riser spacing is suggested to save construction cost. The relationship between the Reynolds number based on the port diameter and velocity, and the surface initial dilution is also explored, and the critical Reynolds number is proposed.
摘要Multiport diffusers are the effective engineering devices installed at the marine outfall systems for the steady discharge of effluent streams from the modern coastal plants, such as municipal sewage treatment, power generation and seawater desalination. A far field mathematical model using a two-dimensional advection-diffusion equation is presented for continuous discharges of effluent streams from multiple outfalls on a uniformly sloping beach with a current parallel to the shoreline. The analytical solutions are illustrated graphically to replicate and capture the merging process of effluent plumes in shallow coastal waters, and then asymptotic approximation will be made to the maximum shoreline’s concentration to formulate effluent discharge plume dilution from a multiport diffuser.
基金Science Center for Gas Turbine Project(Grant No.P2022-B-Ⅱ-016-001)National Natural Science Foundation of China(Grant No52106058)for providing necessary fund and support to carry out this work。
摘要Axial flow diffuser,which is located downstream of the axial compressor in the jet engine,is always regarded as a part of the combustor component.The diffuser performance is shown to be greatly influenced by the incoming flow conditions.However,due to the independent design modules of combustor and compressor,simplified incoming flow conditions(SIFC,circumferential averaged flow parameters)are commonly used in the combustor design.Moreover few researchers have noticed the effect of accurate incoming flow conditions(AIFC,actual compressor outlet flow parameters)on the performance of the diffuser and combustor.This oversight frequently leads to unnecessary diffuser design deviations.In this paper,a 2.5-stage high-load axial compressor coupled with the downstream diffuser is numerically investigated to clarify the effect of SIFC and AIFC on the diffuser performance.The results show significant performance difference of the diffuser with the two inflow condition treatment methods,where the diffuser with AIFC presents an approximately five times higher of total pressure loss coefficient(Cp,t)than that of the SIFC(i.e.Cp,t,SIFC=0.326%(hub divergence angleα=14°)VS Cp,t,AIFC=1.61%(hub divergence angleα=7°)at the compressor peak efficiency point),and the optimal divergence angle distribution on the shroud and hub of diffuser with the SIFC and AIFC also shows a great deviation(αOPT,AIFC=7°VSαOPT,SIFC=14°).The greater mixing intensity is manifested in the diffuser flow under AIFC due to its circumferential upstream non-uniformity characteristics such as blade wake,which not only increases flow losses but also facilitates flow deceleration.As the compressor operates from peak efficiency point to near stall point,the total pressure loss and static pressure recovery ability of the diffuser under AIFC present more sensitive to the variations of diffuser wall divergence angle distribution.Therefore,for the purpose of improving the design art of axial flow diffuser used for aero gas turbine,the integrated consideration of diffuser and its upstream compressor is recommended due to the accurate flow conditions.
基金supported in part by the Basic Research Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone(HZQB-KCZYZ-2021067)the National Natural Science Foundation of China(62293482,62301471,and 62471423)+4 种基金the Shenzhen Outstanding Talents Training Fund(202002)the Guangdong Research Projects(2017ZT07X 152 and 2019CX01X104)the Guangdong Provincial Key Laboratory of Future Networks of Intelligence(2022B1212010001)the Shenzhen Key Laboratory of Big Data and Artificial Intelligence(ZDSYS201707251409055)the National Science and Technology Major Project—Mobile Information Networks(2024ZD1300700)。
摘要Semantic communication(SemCom)has emerged as a transformative paradigm for future wireless networks,aiming to improve communication efficiency by transmitting only the semantic meaning(or its encoded version)of the source data rather than the complete set of bits(symbols).However,traditional deep-learning-based SemCom systems present challenges such as limited generalization,low robustness,and inadequate reasoning capabilities,primarily due to the inherently discriminative nature of deep neural networks.To address these limitations,generative artificial intelligence(GAI)is seen as a promising solution,offering notable advantages in learning complex data distributions,transforming data between high-and low-dimensional spaces,and generating high-quality content.This paper explores the applications of GAI in SemCom and presents a comprehensive study.It begins by introducing three widely used SemCom systems enabled by classical GAI models:variational autoencoders,generative adversarial networks,and diffusion models.For each system,the fundamental concept of the GAI model,the corresponding SemCom architecture,and a literature review of recent developments are provided.Subsequently,a novel generative SemCom system is proposed,incorporating cutting-edge GAI technology—large language models(LLMs).This system features LLM-based artificial intelligence(AI)agents at both the transmitter and receiver,which act as“brains”to enable advanced information understanding and content regeneration capabilities,respectively.Unlike traditional systems that focus on bitstream recovery,this design allows the receiver to directly generate the desired content from the coded semantic information sent by the transmitter.As a result,the communication paradigm shifts from“information recovery”to“information regeneration,”marking a new era in generative SemCom.A case study on point-to-point video retrieval is presented to demonstrate the effectiveness of the proposed system,showing a 99.98%reduction in communication overhead and a 53%improvement in average retrieval accuracy compared to traditional communication systems.Furthermore,four typical application scenarios for generative SemCom are described,followed by a discussion of three open issues for future research.In summary,this paper provides a comprehensive set of guidelines for applying GAI in SemCom,laying the groundwork for the efficient deployment of generative SemCom in future wireless networks.
基金financially supported by the National Natural Science Foundation of China(No.5247401)the Research and Technology Development Project of the China National Petroleum Corporation(No.2021DJ5002(JT))。
摘要This study integrates experimental investigation with molecular dynamics simulations to elucidate the hydrogen transport mechanisms in polyetheretherketone(PEEK)and polytetrafluoroethylene(PTFE),offering fundamental insights into the barrier properties of high-performance polymeric materials.Experimental results demonstrate that PEEK exhibits superior hydrogen barrier performance compared to PTFE at both ambient and elevated temperatures.However,detailed molecular dynamics simulations uncover a distinctive,enthalpy-driven"high solubility-low diffusivity"transport mechanism:although PEEK displays higher hydrogen solubility due to its stronger thermodynamic affinity,its diffusion coefficient is markedly lower than that of PTFE.This mechanism remains operative across a broad operational temperature range(233 K to358 K),yet its influence on overall permeability is strongly temperature-dependent.At room and high temperatures,the exceptionally low diffusivity of PEEK governs the entire permeation process,establishing its effectiveness as a high-performance hydrogen barrier material.In contrast,under low-temperature conditions(e.g.,233 K),the general suppression of diffusion allows the high solubility of PEEK to dominate,resulting in greater overall permeability than PTFE and giving rise to a performance“reversal”phenomenon.This distinct transport behavior originates from the strong non-covalent interactions between hydrogen molecules and the aromatic rings as well as polar functional groups present in the amorphous regions of PEEK,which simultaneously enhance solubility and impose significant kinetic energy barriers.The"structure-mechanism"correlation framework established in this work provides a robust theoretical foundation for the rational design of next-generation hydrogen barrier materials tailored to specific operational temperature requirements.
基金supported by the National Key R&D Program of China,Nos.2017YFA0104302(to NG and XM)and 2017YFA0104304(to BW and ZZ)
摘要Mesenchymal stromal cell transplantation is an effective and promising approach for treating various systemic and diffuse diseases.However,the biological characteristics of transplanted mesenchymal stromal cells in humans remain unclear,including cell viability,distribution,migration,and fate.Conventional cell tracing methods cannot be used in the clinic.The use of superparamagnetic iron oxide nanoparticles as contrast agents allows for the observation of transplanted cells using magnetic resonance imaging.In 2016,the National Medical Products Administration of China approved a new superparamagnetic iron oxide nanoparticle,Ruicun,for use as a contrast agent in clinical trials.In the present study,an acute hemi-transection spinal cord injury model was established in beagle dogs.The injury was then treated by transplantation of Ruicun-labeled mesenchymal stromal cells.The results indicated that Ruicunlabeled mesenchymal stromal cells repaired damaged spinal cord fibers and partially restored neurological function in animals with acute spinal cord injury.T2*-weighted imaging revealed low signal areas on both sides of the injured spinal cord.The results of quantitative susceptibility mapping with ultrashort echo time sequences indicated that Ruicun-labeled mesenchymal stromal cells persisted stably within the injured spinal cord for over 4 weeks.These findings suggest that magnetic resonance imaging has the potential to effectively track the migration of Ruicun-labeled mesenchymal stromal cells and assess their ability to repair spinal cord injury.
基金supported by the U.S. Department of Energy (DOE), Office of Basic Energy Sciences, Division of Materials Sciences and Engineering under Award No. DE-SC0023088
摘要Free-space optical information transfer through diffusive media is critical in many applications, such as biomedical devices and optical communication, but remains challenging due to random, unknown perturbations in the optical path. We demonstrate an optical diffractive decoder with electronic encoding to accurately transfer the optical information of interest, corresponding to, e.g., any arbitrary input object or message, through unknown random phase diffusers along the optical path. This hybrid electronic-optical model, trained using supervised learning, comprises a convolutional neural network-based electronic encoder and successive passive diffractive layers that are jointly optimized. After their joint training using deep learning,our hybrid model can transfer optical information through unknown phase diffusers, demonstrating generalization to new random diffusers never seen before. The resulting electronic-encoder and optical-decoder model was experimentally validated using a 3D-printed diffractive network that axially spans <70λ, whereλ = 0.75 mm is the illumination wavelength in the terahertz spectrum, carrying the desired optical information through random unknown diffusers. The presented framework can be physically scaled to operate at different parts of the electromagnetic spectrum, without retraining its components, and would offer low-power and compact solutions for optical information transfer in free space through unknown random diffusive media.
基金The authors acknowledge the U.S.National Science Foundation and Fujikura.
摘要Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers.Here,we present a computer-free,all-optical image reconstruction method to see through random diffusers at the speed of light.Using deep learning,a set of transmissive diffractive surfaces are trained to all-optically reconstruct images of arbitrary objects that are completely covered by unknown,random phase diffusers.After the training stage,which is a one-time effort,the resulting diffractive surfaces are fabricated and form a passive optical network that is physically positioned between the unknown object and the image plane to all-optically reconstruct the object pattern through an unknown,new phase diffuser.We experimentally demonstrated this concept using coherent THz illumination and all-optically reconstructed objects distorted by unknown,random diffusers,never used during training.Unlike digital methods,all-optical diffractive reconstructions do not require power except for the illumination light.This diffractive solution to see through diffusers can be extended to other wavelengths,and might fuel various applications in biomedical imaging,astronomy,atmospheric sciences,oceanography,security,robotics,autonomous vehicles,among many others.
摘要Inverse design of advanced materials represents a pivotal challenge in materials science.Leveraging the latent space of Variational Autoencoders(VAEs)for material optimization has emerged as a significant advancement in the field of material inverse design.However,VAEs are inherently prone to generating blurred images,posing challenges for precise inverse design and microstructure manufacturing.While increasing the dimensionality of the VAE latent space can mitigate reconstruction blurriness to some extent,it simultaneously imposes a substantial burden on target optimization due to an excessively high search space.To address these limitations,this study adopts a Variational Autoencoder guided Conditional Diffusion Generative Model(VAE-CDGM)framework integrated with Bayesian optimization to achieve the inverse design of composite materials with targeted mechanical properties.The VAE-CDGM model synergizes the strengths of VAEs and Denoising Diffusion Probabilistic Models(DDPM),enabling the generation of high-quality,sharp images while preserving a manipulable latent space.To accommodate varying dimensional requirements of the latent space,two optimization strategies are proposed.When the latent space dimensionality is excessively high,SHapley Additive exPlanations(SHAP)sensitivity analysis is employed to identify critical latent features for optimization within a reduced subspace.Conversely,direct optimization is performed in the low-dimensional latent space of VAE-CDGM when dimensionality is modest.The results demonstrate that both strategies accurately achieve the targeted design of composite materials while circumventing the blurred reconstruction flaws of VAEs,which offers a novel pathway for the precise design of advanced materials.
基金supported by the National Natural Science Foundation of China(52574059).
摘要Helium-bearing shale reservoirs are gaining attention as unconventional strategic resources,yet the fundamental mechanisms governing helium occurrence and migration remain poorly resolved.In this study,we integrate high-pressure adsorption–diffusion experiments(308 K,1300 psi)with molecular simulations under reservoir-relevant conditions(70 MPa,403–423 K)to investigate helium behavior in organic-rich shale.Results show that during CH4–He co-adsorption,methane preferentially occupies adsorption sites,thereby reducing the adsorption capacity of helium.Meanwhile,molecular simulations indicate that methane enhances helium’s near-wall residence(adsorption-layer fraction)through confinement and steric hindrance within nanopores.In this stage,varying helium concentration from 0.05%to 5%yields a limited impact on the overall diffusion coefficient.However,during desorption,helium shows a sharp mobility enhancement,and the diffusion coefficient increases from 0.3×10 to 17×10−12m2/s.This increase is attributed to methane evacuation and weak helium binding.Interaction energy analysis reveals that clay minerals dominate helium retention,and increasing methane content strongly non-linear enhances He–shale interactions as helium concentration decreases from 100%to 5%.These findings clarify helium’s occurrence state and its competitive dynamics with methane,offering molecular-level insights into the potential for helium preservation and co-production in CH4-rich shale systems.
基金National Natural Science Foundation of China(52473163)Horizontal Research Project of China-Japan Friendship Hospital(2024-HX-162)。
摘要Diffuse alveolar hemorrhage(DAH)is a lifethreatening clinical condition characterized by bleeding into alveolar spaces,resulting in diffuse pulmonary infiltrates,hemoptysis,and hypoxemic respiratory failure.The etiologies of DAH include,but are not limited to,hematologic abnormalities(e.g.,thrombocytopenia and coagulopathies),autoimmune diseases(e.g.,vasculitis and systemic lupus erythematosus),and toxic or drug-induced lung injury.
基金the National Natural Science Foundation of China(22408004)the Scientific Research Foundation for the Introduction of Talent,Anhui University of Science and Technology(2023yjrc90)+1 种基金the Open Research Fund Program of Engineering Technology Research Center of Coal Resources Comprehensive Utilization,Anhui University of Science and Technology(MTYJZX202203)the Natural Science Research Project of Anhui Educational Committee(2024AH050360)。
摘要Si/Al-rich coal ash tends to generate refractory minerals during gasification,leading to elevated ash fusion temperatures(AFTs)and viscosity.This increases the risk of slagging in entrained-flow gasifiers.Previous studies have reported that the regulation mechanism of high-alumina coal(HAC)by low-AFT coal and transformation of corundum and mullite into eutectic are key factors in improving ash fusibility.However,coal ash has a complex composition,and other components of HAC may affect the melting transformation paths of minerals.In this study,high-purity corundum and mullite were introduced into ash,and the changes during the heating process of coal ash with minerals were investigated.The melting behaviour of two minerals and their impact on the melt structure at high temperature were examined to explain the effect of the two minerals on ash fusibility.The results indicate that increasing the corundum residue in the coal ash,leading to elevated AFTs.Variations in the corundum residue were closely related to the transformation paths of the two minerals during melting.Mullite decomposed into the planar laminar structure(Q3)of Si-O network structures during instantaneous heating.The Q3 species migrated into the coal ash melt,increasing the Al concentration gradient between the liquid phase and corundum derived from mullite;by contrast,the added corundum developed a boundary layer upon corrosion by the molten phase,reducing the Al concentration gradient in solid—liquid phases and increasing the decomposition time of corundum.The interaction between the mineral and liquid phases in coal ash formed a corundum-containing suspension during the melting process,thereby increasing the AFT of ash.Therefore,promoting mullite formation instead of corundum in HAC helps lower AFT for gasification.
基金The National Natural Science Foundations of China (12202219)the Natural Science Foundations of Ningxia (2024AAC02009, 2023AAC05001)the Ningxia Youth Top Talents Training Project。
摘要The fast solution of linear equations has always been one of the hot spots in scientific computing.A kind of the diagonal matrix splitting iteration methods are provided,which is different from the classical matrix splitting methods.Taking the decomposition of the diagonal elements for coefficient matrix as the key point,some new preconditioners are constructed.Taking the tri-diagonal coefficient matrix as an example,the convergence domains and optimal relaxation factor of the new method are analyzed theoretically.The presented new iteration methods are applied to solve linear algebraic equations,even 2D and 3D diffusion problems with the fully implicit discretization.The results of numerical experiments are matched with the theoretical analysis,and show that the iteration numbers are reduced greatly.The superiorities of presented iteration methods exceed some classical iteration methods dramatically.
基金financially supported by the project of the National Natural Science Foundation of China(Grant No.52175363)the National Science and Technology Major Project of China(Grant No.TDGC2-25-057)the Advanced Materials-National Science and Technology Major Project(Grant No.2025ZD0610000)。
摘要The evolution of the γ'-Ni3(Al,Ti)phase in superalloys is governed by a coupled coalescence-ripening mechanism driven by elemental diffusion.In this study,thermal exposure experiments were performed at 750℃and 800℃for durations ranging from 100 to 20,000 h.The γ'phase underwent coalescence-ripening,with its morphology evolving from small spherical particles to elliptical and finally to large spherical particles.During this process,high chemical potential gradients were observed around small-diameter γ'phases and at the long-axis ends of elliptical γ'phases.These gradients drove the dissolution of smaller γ'phases by larger ones and the evolution of elliptical γ'into spherical ones.Concurrently,the Ni/(Al+Ti)ratio in the γ'phase decreased from 3.26 to 3.02 during exposure at 800℃.High-resolution scanning transmission electron microscopy(HR-STEM)analysis revealed complex atomic arrangements at the γ/γ'interface and the dislocation,featuring variations in interplanar distance and abundant edge dislocations,which serve as efficient pathways for atomic diffusion.Moreover,as the γ'phase coarsened,the γ/γ'interfaces remained coherent,with the lattice mismatch gradually approaching zero.Geometric phase analysis(GPA)indicated a significant relaxation of elastic strain at these interfaces.Based on the change in Al concentration at the γ/γ'interfaces,the interfacial energy decreased by approximately 3 times between 100 and 20,000 h of exposure at 800℃.This study provides foundational insights for a deeper understanding of elemental diffusion mechanisms in superalloys.
基金the financial support from the National Key Research and Development Program of China(2023YFB2504000)。
摘要High-voltage Li-rich Mn-based oxide(LRMO)cathodes are promising for breaking through the energy density limits of lithium-ion batteries,yet their practical application remains limited by electrochemical performance degradation caused by unstable cathode-electrolyte interphase(CEI)evolution during longterm cycling.To address this issue,we propose a novel surface modification strategy using La0.7Sr0.3MnO3-σ(LSMO)nanodots,which exhibit high electronic co nductivity and excellent corrosion resistance.These nanodots act as stable anchoring sites,facilitating the formation of a robust CEI on LRMO,The LSMOmodified cathode demonstrates significantly improved anionic redox reversibility,effectively mitigating transition metal migration and lattice oxygen loss.Furthermore,the optimized interfacial electrochemical kinetics ensure sustained rapid Li+diffusion throughout cycling,while the formation of a stable trilayer CEI structure suppresses electrolyte decomposition.Benefiting from these synergistic effects,the LSMO nanodot-engineered LRMO cathode delivers outstanding cycling stability,retaining 97.4%capacity after 300 cycles at 1 C.This work not only highlights the critical role of nanodot heterostructures in stabilizing CEI but also provides a new approach to designing high-voltage cathodes with superior interfacial compatibility and long-term durability.
基金financially supported by the National Natural Science Foundation of China(Nos.U2441260,52271109 and 52401162)Natural Science Foundation of Shanxi(Nos.202403021211064 and 202403011212003)the Major Special Plan for Science and Technology in Shanxi Province(No.202201050201012).
摘要Brazing of magnesium(Mg)alloys is critical for lightweight structural application,but the inherent brittleness of intermetallic compounds(IMCs)formed in conventional Mg alloy fillers severely limits joint reliability and precision.In this work,a novel in situ self-generating Mg-Zn filler was developed through rolling compounding and diffusion reactions to enable low-temperature precision brazing.The filler significantly enhances joint performance,achieving a maximum shear strength of 54.6 MPa.This exceptional strength originates from the formation of anα-Mg/Mg7Zn3(MgZn2)soft-hard biphasic heterostructure during brazing solidification.The ductileα-Mg phase effectively blunts crack tips,suppresses crack propagation,and relieves stress concentration in the hard-brittle Mg7Zn3(MgZn2)phases,improving overall toughness and reliability.Meanwhile,rapid Zn diffusion during brazing induces atomic size mismatch within theα-Mg matrix,generating lattice distortion and dislocation proliferation.These structural defects lower the nucleation barrier of IMCs and promote the formation and localized melting of Mg7Zn3,which triggers gradient melting of the filler and enables effective low-temperature joining.This work provides a new filler design strategy and theoretical insights for advancing precision brazing of lightweight Mg alloys.
基金supported by the National Natural Science Foundation of China(No.51701061)the Natural Science Foundation of Hebei Province,China(No.E2021202075).
摘要The impact of interstitial carbon on recrystallization behavior was investigated in designed carbide-free FeMnCoNiCx high-entropy alloys(HEAs)by utilizing weak carbide-forming elements.The results indicate that recrystallization and grain growth are both effectively facilitated in carbon-containing high-entropy alloys.Under identical cold rolling conditions,carbon-containing HEAs exhibit higher dislocation density and deformation stored energy,which facilitates the recrystallization behavior.Meanwhile,the activation energy for grain growth in carbon-containing alloys is lower than that in carbon-free alloys.Diffusion couple experiments reveal that the addition of carbon increases the diffusion coefficients of metallic elements,thereby reducing the activation energy for grain growth and consequently accelerating grain coarsening.This phenomenon stands in sharp contrast to the conventional understanding,in which carbon suppresses recrystallization by forming carbide secondary phases that pin grain boundaries.