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Vibration reduction of propulsion shaft system by optimized bearing parameters 认领 引用
1
作者 LIU Jian-yu GENG Xiao-ming +2 位作者 LI Xin-bin LIU Jing XU Ya-jun 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第6期2808-2828,共21页
The vibrations of the propulsion shaft systems have a critical impact on the performance and noise control of underwater vehicles.Bearings are essential for the system's dynamic performance as the support componen... The vibrations of the propulsion shaft systems have a critical impact on the performance and noise control of underwater vehicles.Bearings are essential for the system's dynamic performance as the support components.Existing studies have primarily focused on the impacts of the individual bearing parameters on system vibrations,while the effects of bearing designation,clearance,tolerance,and bearing arrangement on the multi-bearing propulsion shaft system dynamics remain unclear.There is a lack of optimized design for multi-bearing parameters in propulsion shaft systems.A comprehensive dynamic model of the multi-bearing propulsion shaft system is developed in this study,which includes key components such as support bearings and the propeller.The effects of different bearings at different positions and bearing parameters on key vibration indicators(such as acceleration and displacement)are revealed through dynamic simulations.Based on the simulation results,a vibration optimization model for a multi-bearing propulsion shaft system is proposed,which can select effective bearing parameters.The optimal bearing parameters of the propulsion shaft system can be obtained through the optimization model.The findings not only provide quantitative criteria for low-vibration design of underwater propulsion systems,but also provide a theoretical reference for modeling and vibration control of complex multi-support rotating machinery. 展开更多
关键词 vibration reduction propulsion shaft systems bearing parameter optimization dynamic modeling
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Optimization of multi-process parameters in secondary cooling solidification process of S30432 continuous casting billet 认领 引用
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作者 Zhi-qiang Li Ying-xuan Shan +2 位作者 Li Wu Hua Hou Yu-hong Zhao 《China Foundry》 SCIE EI CAS CSCD 2026年第3期407-420,共14页
The synergistic mechanism of multiple process parameters on the solidification structure of niobium containing austenitic stainless steel during continuous casting is complex,which seriously affects the quality of con... The synergistic mechanism of multiple process parameters on the solidification structure of niobium containing austenitic stainless steel during continuous casting is complex,which seriously affects the quality of continuous casting billets and seamless pipes.In order to optimize the quality of continuous casting billet,a finite element model of solidification and heat transfer in continuous casting process was established for the secondary cooling process of continuous casting billet.The control variable method was used to explore the influence of casting speed and superheat on the solidification process.At the same time,an orthogonal scheme was designed to study the coupling effect of multiple process parameters on the heat transfer and solidification state of continuous casting billets,and optimized process parameters were selected.The optimization results of process parameters were verified through production experiments,and it is found that the enrichment of coarse niobium compounds directly causes the initiation and propagation of inner wall cracks during the large deformation hot piercing of S30432 seamless tubes.Process parameter optimization,especially the synergistic effect of the decrease of superheat and increase of specific water flow promotes the grain refinement and expension of equiaxed crystal zone,thereby mitigating the segregation of Nb elements and improving the distribution of niobium compounds. 展开更多
关键词 continuous casting solidification process process parameter optimization niobium compounds crack
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Optimization of smooth blasting parameters and damage mitigation in jointed rock mass roadways 认领 引用
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作者 ZUO Ting LI Xianglong +4 位作者 WANG Jianguo TIAN Xufan HUO Fei CUI Guangjiu ZHANG Xiyuan 《Journal of Mountain Science》 SCIE CSCD 2026年第4期1772-1788,共17页
During mine roadway excavation in jointed and fractured rock masses,drilling and blasting remains a widely adopted method.However,the complex interaction between blasting-induced stress waves and pre-existing structur... During mine roadway excavation in jointed and fractured rock masses,drilling and blasting remains a widely adopted method.However,the complex interaction between blasting-induced stress waves and pre-existing structural planes often leads to overbreak,loosening of the surrounding rock,and an expanded excavation damage zone,posing significant challenges to roadway stability and construction safety.Most existing studies are limited to single-factor analyses or assume homogeneous rock mass behavior,leaving a critical gap in understanding the coupled effects of joint geometric parameters and blasting parameters on damage evolution.This study addresses this gap by developing a numerical model using LSDYNA to investigate blast damage control in jointed rock masses during roadway excavation.A systematic parametric analysis was conducted to evaluate the influence of joint dip angle(α),joint thickness(h),joint position,and blast-hole spacing(d)on blasting performance.The results show that atα=45°,particle vibration velocity at the monitoring points reaches its maximum,and fragmentation is most pronounced along the blast-hole connection line.Reducing the blast-hole spacing to 60 cm increases the peak effective stress at the joint plane to 72.8 MPa,yielding optimal fragmentation while mitigating excessive rock damage commonly associated with larger spacings.As joint thickness increases from 4 cm to 8 cm,the peak effective stress at the joint plane drops from 94.7 MPa to 70.8 MPa.This decrease of approximately 33.7%indicates that thicker joints substantially enhance stress-wave attenuation and energy dissipation.Moreover,increasing the distance between the joint and the blast hole from 5 cm to 15 cm significantly reduces damage in the rock mass between the source and the joint plane.Field validation demonstrates that the optimized smooth blasting scheme,compared to conventional blasting,improves the half-hole rate from 33.3%to 93.3%,increases the average advance per cycle from 2.43 m to 2.92 m,and reduces the depth of blast-induced damage from approximately 2.4 m to 1.5 m.These findings confirm that the proposed blasting parameters markedly enhance excavation quality and effectively limit blast-induced damage in jointed rock masses. 展开更多
关键词 Jointed rock mass Numerical simulation Smooth blasting Parameter optimization Rock mass damage
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Dimensional control of turbine blades via RSM-based process parameter optimization in investment casting 认领 引用
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作者 Sheng-jie Ren Rui-yuan Zhang +4 位作者 Sheng Meng Hang-yu Li Wen-jing Wang Zhong-min Xiao Kun Bu 《China Foundry》 SCIE EI CAS CSCD 2026年第3期451-461,共11页
To address the dimensional accuracy challenges in investment casting of DD6 nickel-based superalloy hollow turbine blades,a multi-parameter collaborative optimization and deformation response prediction method based o... To address the dimensional accuracy challenges in investment casting of DD6 nickel-based superalloy hollow turbine blades,a multi-parameter collaborative optimization and deformation response prediction method based on response surface methodology was proposed.Using a Box-Behnken design,with pouring temperature,shell temperature,and withdrawal rate as key variables,deformation response data were obtained through numerical simulation,and a second-order model incorporating linear,interaction,and quadratic terms was established to characterize the nonlinear coupling effects of process parameters on dimensional deformation.The results indicate that withdrawal rate is the dominant factor influencing deformation,while shell temperature exhibits a pronounced“U”-shaped nonlinear trend.Significant interactions between process parameters are also observed.The constructed model demonstrates high predictive accuracy,with R2 of 0.978 and an RMSE of 0.0026 mm,and exhibits strong generalization capability,enabling the identification of optimal parameter combinations even beyond the simulated dataset.Compared with conventional orthogonal design methods,the maximum deformation of the optimized process was reduced from 0.2021 mm to 0.1905 mm,achieving an improvement of approximately 5.74%.This work provides a theoretical foundation and practical strategy for dimensional accuracy control and multi-parameter process optimization in the manufacturing of complex thin-walled castings. 展开更多
关键词 response surface method turbine blade process parameter optimization investment casting
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Laser-assisted full-size PDC bit:Drilling performance and parameter optimization 认领 引用
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作者 Bin Liu Bin Xu +3 位作者 Biao Li Bo Zhang Xinjie Huang Tongyuan Liu 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第2期971-985,共15页
Laser-assisted drilling combined with full-size polycrystalline diamond compact(PDC)bit is considered a feasible solution to enhance the drilling performance of engineering machinery.In this method,determining the opt... Laser-assisted drilling combined with full-size polycrystalline diamond compact(PDC)bit is considered a feasible solution to enhance the drilling performance of engineering machinery.In this method,determining the optimal collaborative control parameters that support rapid drilling is crucial for improving the combined performance.This study used average drilling speed,average torque,and total specificenergy for quantitative analysis to characterize the efficiencyand economy of combined rock breaking.Given the advantage of the response surface methodology in providing high-precision predictions with limited experimental data,regression models of the average drilling speed,average torque,and total specificenergy were established.The results showed that as the laser power and irradiation time increased,the average drilling speed firstincreased rapidly and then leveled off,while the average torque decreased sharply before decelerating.The total specificenergy initially decreased and then increased,with the combined drilling outperforming conventional mechanical drilling within specific parameter ranges.As the weight on bit increased,both the average torque and total specificenergy first decreased and then increased.With rising rotating speed,the average torque exhibited a trend of initial increase,then decrease,and finalincrease,whereas the total specificenergy increased slowly at firstand then sharply.Both parameters exhibited optimal values at which the average torque and total specific energy remained at minimal levels.For granite combined drilling,the optimal performance was achieved at a laser power of 3000 W,irradiation time of 31 s,the weight on bit of 2.4 kN,and the rotating speed of 97 r/min. 展开更多
关键词 Laser rock breaking Polycrystalline diamond compact(PDC) cutter Combined rock breaking Response surface methodology Parameter optimization
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Motion Strategy and Control Parameters Optimization for an Underwater Glider Based on 3D Dubins Paths 认领 引用
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作者 HOU Dong-bo CAO Wei +1 位作者 WANG Wen-jun WANG Cong 《China Ocean Engineering》 SCIE EI CSCD 2026年第3期604-618,共15页
This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and... This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and heading,this study proposes a three-dimensional multimodal path planning methodology based on the 3D-Dubins path,ensuring both task fulfillment and motion feasibility within AUG dynamics constraints.The path planning approach incorporates ocean current interference and utilizes task objectives and control parameters as inputs.It systematically calculates information including horizontal Dubins type,vertical plane motion modes,and turning point depths to generate the path planning solution.The motion control strategy implements initial control parameter values and utilizes depth measurements as evaluation criteria.Through control parameter adjustments,the strategy facilitates tracking of the designated path.This control approach requires minimal feedback information,with computations executable by shore-based facilities,thereby reducing computational and measurement demands on the AUG and enhancing operational reliability.For specified task objectives,multi-objective optimization of control parameters is conducted using the proposed path planning method and motion control strategy,yielding optimized control parameters and corresponding motion control strategies for various operational requirements. 展开更多
关键词 underwater glider Dubins paths motion strategy parameters optimization energy consumption
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Geostress Evolution and Construction Parameter Optimization in Shale Gas Infill Well Development 认领 引用
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作者 Yongjun Xiao Yuduo Sun +5 位作者 Jian Zheng Xiaojin Zhou Wang Liu Cheng Shen Qi Deng Hao Zhao 《Energy Engineering》 EI 2026年第3期152-168,共17页
The shale gas development in China faces challenges such as complex reservoir conditions and high development costs.Based on the pore pressure and geostress coupling theory,this paper studies the geostress evolution l... The shale gas development in China faces challenges such as complex reservoir conditions and high development costs.Based on the pore pressure and geostress coupling theory,this paper studies the geostress evolution laws and fracture network characteristics of shale gas infill wells.A mechanism model of CN platform logging data and geomechanical parameters is established to simulate the influence of parent well’s production on the geostress in the infill well area.It is suggested that with the increase of production time,normal fault stress state and horizontal stress deflection will occur.The smaller the parent well spacing and the longer the production time,the earlier the normal fault stress state appears and the larger the range.Based on the model,the fracture network morphology and construction parameters of infill wells are optimized.parentparentparentparent The results indicate that:1:A well spacing of 500 m achieves a Pareto optimum between“full reserve coverage”and“stress barrier”;2:A parent well recovery degree of 30%corresponds to the critical point of stress reversal,where the lateral deflection rate of the infill fracture is less than 8%and the SRV loss is minimized;3:6-cluster intensive completion with twice the liquid intensity increases the fracture complexity index by 1.7 times,enhances well group EUR by 15.4%,and reduces single-well cost by 22%.This research fills the theoretical gap in the collaborative optimization of“multi-parameter,multi-objective and multi-constraint”and provide parameter optimization basis for shale gas infill well development in China and help to improve the development efficiency and economic benefits. 展开更多
关键词 Shale gas horizontal well geostress evolution infill well development numerical simulation construction parameter optimization
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Optimization Study on Operating Parameters of Rotary Gas-Gas Heat Exchanger in Low-and Medium-Temperature Denitrification System for Cement Kiln Flue Gas 认领 引用
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作者 Kaiwen Cheng Yi Sun +2 位作者 Dong Wang Chen Zhu Fuping Qian 《Frontiers in Heat and Mass Transfer》 EI CAS 2026年第3期141-157,共17页
Rotary gas-gas heat exchangers(GGHs)are pivotal for waste heat recovery in low-and mediumtemperature denitrification systems of cement kilns.This study examines the performance of GGHs within such systems by coupling ... Rotary gas-gas heat exchangers(GGHs)are pivotal for waste heat recovery in low-and mediumtemperature denitrification systems of cement kilns.This study examines the performance of GGHs within such systems by coupling computational fluid dynamics(CFD)with the response surface method(RSM),introducing overall system performance(OSP)as the principal optimization criterion.The investigation systematically elucidates the effects of treated flue gas inlet temperature,inlet velocity,and rotor speed on GGH efficiency.Findings reveal that OSP increases with rotor speed but reaches a plateau beyond 1 rpm;it decreases with higher inlet velocity and increases with higher inlet temperature.Response surface analysis identifies treated flue gas inlet temperature as the most influential parameter,highlighting a synergistic effect between rotor speed and inlet temperature,alongside an antagonistic interaction between inlet temperature and inlet velocity.To ensure safe system operation,engineering constraints were incorporated into the optimization framework using a Box-Behnken design.The optimal operational parameters were determined as a treated flue gas inlet temperature of 250℃,inlet velocity of 8 m/s,and rotor speed of 1 rpm,yielding a maximum OSP of 107.74.The integrated CFD-RSM methodology and constraint-aware optimization strategy presented in this study offer a practical reference for enhancing the operational efficiency of industrial waste heat recovery systems,particularly in cement kiln SCR applications. 展开更多
关键词 Waste heat recovery of cement kiln rotary gas-gas heat exchanger response surface method operating parameter optimization
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Parameter optimization and mechanism of magnetic biochar-enhanced microbial electrolysis cell coupling with anaerobic digestion (MEC-AD) for treatment of landfill leachate 认领 引用
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作者 Wenqi Li Jiachen Zhu +4 位作者 Xin Yin Hanbo Chen He Liu Minhua Cui Chongjun Chen 《ENGINEERING Environment》 SCIE EI CAS CSCD 2026年第1期63-80,共18页
Landfill leachate has a highly complex composition containing hazardous substances and refractory organic compounds, which makes its treatment challenging. In this study, a microbial electrolysis cell coupled anaerobi... Landfill leachate has a highly complex composition containing hazardous substances and refractory organic compounds, which makes its treatment challenging. In this study, a microbial electrolysis cell coupled anaerobic digestion (MEC-AD) system was constructed and integrated with magnetic biochar (MBC). The critical parameters (i.e., applied voltage, anode-to-cathode area ratio, and cathode mesh size) were systematically optimized through orthogonal experiments to investigate their impacts on chemical oxygen demand (COD), organic transformation pathways, and microbial community succession in the system. The results demonstrated a maximum COD removal efficiency of 59.7%. The optimal combination of parameters included an applied voltage of 1.2 V, an anode-to-cathode area ratio of 1:0.5, and a cathode mesh size of 200 mesh. Furthermore, spectral analysis revealed significant degradation of aromatic compounds with conjugated double bonds and humic acid-like substances, which indicated that electrochemical stimulation effectively facilitated molecular chain cleavage and enhanced microbial metabolism. Long-chain amides (such as 13-Docosenamide, (Z)-) were hydrolyzed into fatty acids and further transformed into alkanes. On the other hand, aromatic pollutants like 2,4-Di-tert-butylphenol underwent progressive mineralization through hydroxylation and ring-opening reactions. Under applied voltage of 1 V, electroactive bacteria (i.e., Comamonas (22.3%) and Pseudomonas (8.1%)) in anode biofilms formed metabolic networks with fermentative bacteria (Soehngenia) and synergistically enhanced electron transfer and organic reduction with heterotrophic bacteria at the cathode. This research provides theoretical insights into optimized degradation mechanisms of MEC-AD systems and the practical feasibility of its application for landfill leachate treatment. 展开更多
关键词 Landfill leachate MEC-AD Microbial community Parameter optimization
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Parameter matching and optimization of hybrid excavator swing system 认领 引用 被引量：1
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作者 Chao SHEN Jianxin ZHU +2 位作者 Jian CHEN Saibai LI Lixin YI 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2025年第2期138-150,共13页
In this study,a novel synergistic swing energy-regenerative hybrid system(SSEHS)for excavators with a large inertia slewing platform is constructed.With the SSEHS,the pressure boosting and output energy synergy of mul... In this study,a novel synergistic swing energy-regenerative hybrid system(SSEHS)for excavators with a large inertia slewing platform is constructed.With the SSEHS,the pressure boosting and output energy synergy of multiple energy sources can be realized,while the swing braking energy can be recovered and used by means of hydraulic energy.Additionally,considering the system constraints and comprehensive optimization conditions of energy efficiency and dynamic characteristics,an improved multi-objective particle swarm optimization(IMOPSO)combined with an adaptive grid is proposed for parameter optimization of the SSEHS.Meanwhile,a parameter rule-based control strategy is designed,which can switch to a reasonable working mode according to the real-time state.Finally,a physical prototype of a 50-t excavator and its AMESim model is established.The semi-simulation and semi-experiment results demonstrate that compared with a conventional swing system,energy consumption under the 90°rotation condition could be reduced by about 51.4%in the SSEHS before parameter optimization,while the energy-saving efficiency is improved by another 13.2%after parameter optimization.This confirms the effectiveness of the SSEHS and the IMOPSO parameter optimization method proposed in this paper.The IMOPSO algorithm is universal and can be used for parameter matching and optimization of hybrid power systems. 展开更多
关键词 Hybrid system Energy regeneration Swing braking energy Parameter optimization Improved multi-objective particle swarm optimization(IMOPSO) Adaptive grid
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Optimization of fracturing parameters in multi-layer and multi-period cube development infill well pad:A case study on a three-layer cube development well pad of Sichuan Basin,SW China 认领 引用 被引量：1
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作者 YANG Haixin ZHU Haiyan +5 位作者 LIU Yaowen TANG Xuanhe WANG Dajiang XIAO Jialin ZHU Danghui ZHAO Chongsheng 《Petroleum Exploration and Development》 SCIE 2025年第3期817-829,共13页
The method for optimizing the hydraulic fracturing parameters of the cube development infill well pad was proposed,aiming at the well pattern characteristic of“multi-layer and multi-period”of the infill wells in Sic... The method for optimizing the hydraulic fracturing parameters of the cube development infill well pad was proposed,aiming at the well pattern characteristic of“multi-layer and multi-period”of the infill wells in Sichuan Basin.The fracture propagation and inter-well interference model were established based on the evolution of 4D in-situ stress,and the evolution characteristics of stress and the mechanism of interference between wells were analyzed.The research shows that the increase in horizontal stress difference and the existence of natural fractures/faults are the main reasons for inter-well interference.Inter-well interference is likely to occur near the fracture zones and between the infill wells and parent wells that have been in production for a long time.When communication channels are formed between the infill wells and parent wells,it can increase the productivity of parent wells in the short term.However,it will have a delayed negative impact on the long-term sustained production of both infill wells and parent wells.The change trend of in-situ stress caused by parent well production is basically consistent with the decline trend of pore pressure.The lateral disturbance range of in-situ stress is initially the same as the fracture length and reaches 1.5 to 1.6 times that length after 2.5 years.The key to avoiding inter-well interference is to optimize the fracturing parameters.By adopting the M-shaped well pattern,the optimal well spacing for the infill wells is 300 m,the cluster spacing is 10 m,and the liquid volume per stage is 1800 m3. 展开更多
关键词 shale gas cube development infill wells 4D-in-situ stress inter-well interference fracturing parameters optimization
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Optimization of process parameters for preparation of vanadium-iron-based alloy via silicon thermal reduction 认领 引用
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作者 Ning Sun Yi-min Zhang +6 位作者 Nan-nan Xue Kui-song Zhu Jun-han Li Shao-li Yang Lan Ma Xiang-li Cheng Lu Lu 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2025年第11期3722-3736,共15页
Specialized vanadium(V)-iron(Fe)-based alloy additives utilized in the production of V-containing steels were investigated.Vanadium slag from the Panzhihua region of China was utilized as a raw material to optimize pr... Specialized vanadium(V)-iron(Fe)-based alloy additives utilized in the production of V-containing steels were investigated.Vanadium slag from the Panzhihua region of China was utilized as a raw material to optimize process parameters for the preparation of V-Fe-based alloy via silicon thermal reduction.Experiments were conducted to investigate the effects of reduction temperature,holding time,and slag composition on alloy-slag separation,alloy microstructure,and the oxide content of residual slag,with an emphasis on the recovery of valuable metal elements.The results indicated that the optimal process conditions for silicon thermal reduction were achieved at reduction temperature of 1823 K,holding time of 240 min,and slag composition of 45 wt.%SiO2,40 wt.%CaO,and 15 wt.%Al2O3.The resulting V-Fe-based alloy predominantly consisted of Fe-based phases such as Fe,titanium(Ti),silicon(Si)and manganese(Mn),with Si,V,as well as chromium(Cr)concentrated in the intercrystalline phase of the Fe-based alloy.The recoveries of Fe,Mn,Cr,V,and Ti under the optimal conditions were 96.30%,91.96%,86.53%,80.29%,and 74.82%,respectively.The key components of the V-Fe-based alloy obtained were 41.96 wt.%Si,27.55 wt.%Fe,12.13 wt.%Mn,5.53 wt.%V,4.86 wt.%Cr,and 3.74 wt.%Ti,thereby enabling the comprehensive recovery of the valuable metal from vanadium slag. 展开更多
关键词 Vanadium slag Silicon thermal reduction Process parameter optimization Vanadium–iron-based alloy Valuable metal element
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Parameter identification and high order active disturbance rejection control of electro-hydraulic servo motor system 认领 引用
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作者 WANG Xiaojing GAO Wentao +1 位作者 ZHANG Yuxuan SUN Yuwei 《High Technology Letters》 EI CAS 2025年第3期280-287,共8页
An enhanced least mean square(LMS)error identification algorithm integrated with Kalman filtering is proposed to resolve accuracy degradation induced by nonlinear dynamics and parameter uncertainties in continuous rot... An enhanced least mean square(LMS)error identification algorithm integrated with Kalman filtering is proposed to resolve accuracy degradation induced by nonlinear dynamics and parameter uncertainties in continuous rotary electro-hydraulic servo systems.This enhancement accelerates convergence and improves accuracy compared with traditional LMS.A fifth-order identification mod-el is developed based on valve-controlled hydraulic motors,with parameters identified using Kalman filter state estimation and gradient smoothing.The results indicate that the improved LMS effectively enhances parameter identification.An advanced disturbance rejection controller(ADRC)is de-signed,and its performance is compared with an optimal proportional integral derivative(PID)con-troller through Simulink simulations.The results show that the ADRC fulfills the control specifications and expands the system’s operational bandwidth. 展开更多
关键词 electro-hydraulic servo system tracking differentiator filter minimum mean square error identification advanced disturbance rejection controller nonlinear feedback control law extended state observer parameter optimal proportional integral derivative control
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Optimization of Extrusion-based Silicone Additive Manufacturing Process Parameters Based on Improved Kernel Extreme Learning Machine 认领 引用
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作者 Zi-Ning Li Xiao-Qing Tian +3 位作者 Dingyifei Ma Shahid Hussain Lian Xia Jiang Han 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2025年第5期848-862,共15页
Silicone material extrusion(MEX)is widely used for processing liquids and pastes.Owing to the uneven linewidth and elastic extrusion deformation caused by material accumulation,products may exhibit geometric errors an... Silicone material extrusion(MEX)is widely used for processing liquids and pastes.Owing to the uneven linewidth and elastic extrusion deformation caused by material accumulation,products may exhibit geometric errors and performance defects,leading to a decline in product quality and affecting its service life.This study proposes a process parameter optimization method that considers the mechanical properties of printed specimens and production costs.To improve the quality of silicone printing samples and reduce production costs,three machine learning models,kernel extreme learning machine(KELM),support vector regression(SVR),and random forest(RF),were developed to predict these three factors.Training data were obtained through a complete factorial experiment.A new dataset is obtained using the Euclidean distance method,which assigns the elimination factor.It is trained with Bayesian optimization algorithms for parameter optimization,the new dataset is input into the improved double Gaussian extreme learning machine,and finally obtains the improved KELM model.The results showed improved prediction accuracy over SVR and RF.Furthermore,a multi-objective optimization framework was proposed by combining genetic algorithm technology with the improved KELM model.The effectiveness and reasonableness of the model algorithm were verified by comparing the optimized results with the experimental results. 展开更多
关键词 Silicone material extrusion Process parameter optimization Double Gaussian kernel extreme learning machine Euclidean distance assigned to the elimination factor Multi-objective optimization framework
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Optimization of Operating Parameters for Underground Gas Storage Based on Genetic Algorithm 认领 引用
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作者 Yuming Luo Wei Zhang +7 位作者 Anqi Zhao Ling Gou Li Chen Yaling Yang Xiaoping Wang Shichang Liu Huiqing Qi Shilai Hu 《Energy Engineering》 EI 2025年第8期3201-3221,共21页
This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety.Pr... This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety.Previous research primarily focused on integrating reservoir,wellbore,and surface facility constraints,often resulting in broad constraint ranges and slow model convergence.To solve this problem,the present study introduces additional constraints on maximum withdrawal rates by combining binomial deliverability equations with material balance equations for closed gas reservoirs,while considering extreme peak-shaving demands.This approach effectively narrows the constraint range.Subsequently,a collaborative optimization model with maximum gas production as the objective function is established,and the model employs a joint solution strategy combining genetic algorithms and numerical simulation techniques.Finally,this methodology was applied to optimize operational parameters for Gas Storage T.The results demonstrate:(1)The convergence of the model was achieved after 6 iterations,which significantly improved the convergence speed of the model;(2)The maximum working gas volume reached 11.605×108 m3,which increased by 13.78%compared with the traditional optimization method;(3)This method greatly improves the operation safety and the ultimate peak load balancing capability.The research provides important technical support for the intelligent decision of injection and production parameters of gas storage and improving peak load balancing ability. 展开更多
关键词 Underground gas storage operational parameter optimization extreme peak-shaving constraints genetic algorithm model
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Selection and Parameter Optimization of Constraint Systems for Girder-End Longitudinal Displacement Control inThree-Tower Suspension Bridges 认领 引用
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作者 Zihang Wang Ying Peng +3 位作者 Xiong Lan Xiaoyu Bai Chao Deng Yuan Ren 《Structural Durability & Health Monitoring》 EI 2025年第3期643-664,共22页
To investigate the influence of different longitudinal constraint systems on the longitudinal displacement at the girder ends of a three-tower suspension bridge,this study takes the Cangrong Xunjiang Bridge as an engi... To investigate the influence of different longitudinal constraint systems on the longitudinal displacement at the girder ends of a three-tower suspension bridge,this study takes the Cangrong Xunjiang Bridge as an engineering case for finite element analysis.This bridge employs an unprecedented tower-girder constraintmethod,with all vertical supports placed at the transition piers at both ends.This paper aims to study the characteristics of longitudinal displacement control at the girder ends under this novel structure,relying on finite element(FE)analysis.Initially,based on the Weigh In Motion(WIM)data,a random vehicle load model is generated and applied to the finite elementmodel.Several longitudinal constraint systems are proposed,and their effects on the structural response of the bridge are compared.The most reasonable system,balancing girder-end displacement and transitional pier stress,is selected.Subsequently,the study examines the impact of different viscous damper parameters on key structural response indicators,including cumulative longitudinal displacement at the girder ends,maximum longitudinal displacement at the girder ends,cumulative longitudinal displacement at the pier tops,maximum longitudinal displacement at the pier tops,longitudinal acceleration at the pier tops,and maximum bending moment at the pier bottoms.Finally,the coefficient of variation(CV)-TOPSIS method is used to optimize the viscous damper parameters for multiple objectives.The results show that adding viscous dampers at the side towers,in addition to the existing longitudinal limit bearings at the central tower,can most effectively reduce the response of structural indicators.The changes in these indicators are not entirely consistent with variations in damping coefficient and velocity exponent.The damper parameters significantly influence cumulative longitudinal displacement at the girder ends,cumulative longitudinal displacement at the pier tops,and maximum bending moments at the pier bottoms.The optimal damper parameters are found to be a damping coefficient of 5000 kN/(m/s)0.2 and a velocity exponent of 0.2. 展开更多
关键词 Three-tower suspension bridge vehicle loads longitudinal constraint system viscous damper multiobjective parameter optimization
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Ada-attention mechanism for intelligent parameter optimization in TBM rock fragmentation:A deep learning approach 认领 引用
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作者 Wencan Guan Suran Wang +1 位作者 Youliang Chen Siyu Chen 《Intelligent Geoengineering》 2025年第4期192-215,共24页
Tunnel boring machine(TBM)rock breaking parameter optimization is a technical challenge in underground engineering.Traditional numerical simulation methods have limitations in computational efficiency and accuracy whe... Tunnel boring machine(TBM)rock breaking parameter optimization is a technical challenge in underground engineering.Traditional numerical simulation methods have limitations in computational efficiency and accuracy when dealing with multi-parameter coupling optimization under complex geological conditions.This study proposes a deep learning method based on the Ada-Attention mechanism for predicting and optimizing parameters such as confining pressure,penetration depth,and cutting tool spacing in TBM rock breaking processes.The method employs a hybrid attention architecture that combines global window mechanisms with local sliding windows,reducing the computational complexity of traditional self-attention mechanisms from O(n2)to O(n(w+α)).Additionally,the Newton-Gauss optimization algorithm is introduced to improve the softmax normalization process,enhancing numerical stability and convergence performance.The research constructs a prediction framework covering a temperature range from 25℃to 500℃,using 800 experimental samples for model training and validation.Experimental results show that the Ada-Attention model achieves R2values of 0.92,0.93,and 0.94 for torque,rolling force,and specific energy predictions respectively,obtaining 2-10 times computational speedup compared to traditional Transformer architectures.Generalization capability validation demonstrates that the model exhibits high prediction accuracy in soft sedimentary rock and medium sandstone(R2>0.95),maintains moderate performance levels in hard limestone and crystalline rock(R2=0.80-0.90),while prediction accuracy decreases in complex geological environments such as composite formations and fractured rock masses.This method provides a feasible technical solution for TBM parameter optimization under complex geological conditions. 展开更多
关键词 Neural network Hob crushing cock Parameter optimization Machine learning
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Phase-Based Optical Flow Method with Optimized Parameter Settings for Enhancing Displacement Measurement Adaptability 认领 引用
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作者 Zhaoxin Peng Menglian Liu +2 位作者 Zhiliang Wang Wei Liu Xian Wang 《Open Journal of Applied Sciences》 2024年第5期1165-1184,共20页
To enhance the applicability and measurement accuracy of phase-based optical flow method using complex steerable pyramids in structural displacement measurement engineering applications, an improved method of optimizi... To enhance the applicability and measurement accuracy of phase-based optical flow method using complex steerable pyramids in structural displacement measurement engineering applications, an improved method of optimizing parameter settings is proposed. The optimized parameters include the best measurement points of the Region of Interest (ROI) and the levels of pyramid filters. Additionally, to address the issue of updating reference frames in practical applications due to the difficulty in estimating the maximum effective measurement value, a mechanism for dynamically updating reference frames is introduced. Experimental results demonstrate that compared to representative image gradient-based displacement measurement methods, the proposed method exhibits higher measurement accuracy in engineering applications. This provides reliable data support for structural damage identification research based on vibration signals and is expected to broaden the engineering application prospects for structural health monitoring. 展开更多
关键词 Displacement Measurement Phase-Based Optical Flow Optimized Parameter Setting
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Simulation-based parameter optimization and development of a split-core fluxgate DC current sensor 认领 引用
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作者 YANG Dechao SHI Junjiang +3 位作者 ZHAO Zhengang HOU Yingjie YANG Kuisong JIANG Xin 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2025年第4期588-602,共15页
Fluxgate current sensors(FGCSs)are increasingly employed in power systems due to their high-precision characteristics,yet their measurement flexibility remains constrained by conventional closed-core designs.To addres... Fluxgate current sensors(FGCSs)are increasingly employed in power systems due to their high-precision characteristics,yet their measurement flexibility remains constrained by conventional closed-core designs.To address this limitation,we proposed a split-core sensor structure comprising four magnetic core strips,which achieved non-intrusive current measurement while maintaining detection accuracy.An analytical model of the induced electromotive force was established based on the probe’s geometric configuration,followed by finite element simulations to optimize key parameters including core radius,core width,excitation coil turns,and sensing coil configuration.A complete prototype integrating the measurement probe,excitation circuit,and signal processing circuitry was developed and experimentally validated.The experimental results show a sensitivity of 0.1099 V/A,a hysteresis error of 0.559%,and a repeatability error of 1.574%over a measurement range of±10 A.After polynomial fitting-based error compensation,the nonlinearity error was reduced to 0.208%,achieving performance comparable to closed-core sensors.This work provided a practical solution for applications demanding both high measurement accuracy and installation flexibility. 展开更多
关键词 fluxgate current sensor second harmonic method finite element simulation parameter optimization circuit design DC measurement
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Study on the optimal test parameters for vibration compaction based on the control of physical-mechanical indicators 认领 引用
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作者 Zhongrui Chen Yanxi Xiong +3 位作者 Ronghui Yan Zhibo Cheng Taifeng Li Hongfu Tan 《Railway Sciences》 2025年第3期388-409,共22页
Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and ... Purpose-The indoor vibration compaction test(IVCT)was a key step in controlling the compaction quality for high-speed railway graded aggregate(HRGA),which currently had a research gap on the assessment indicators and compaction parameters.Design/methodology/approach-To address these issues,a novel multi-indicator IVCT method was proposed,including physical indicator dry density(ρd)and mechanical indicators dynamic stiffness(Krb)and bearing capacity coefficient(K20).Then,a series of IVCTs on HRGA under different compaction parameters were conducted with an improved vibration compactor,which could monitor the physical-mechanical indicators in real-time.Finally,the optimal vibration compaction parameters,including the moisture content(ω),the diameter-to-maximum particle size ratio(Rd),the thickness-to-maximum particle size ratio(Rh),the vibration frequency(f),the vibration mass(Mc)and the eccentric distance(re),were determined based on the evolution characteristics for the physical-mechanical indicators during compaction.Findings-All results indicated that theρd gradually increased and then stabilized,and the Krb initially increased and then decreased.Moreover,the inflection time of the Krb was present as the optimal compaction time(Tlp)during compaction.Additionally,optimal compaction was achieved whenωwas the water-holding content after mud pumping,Rd was 3.4,Rh was 3.5,f was the resonance frequency,and the ratio between the excitation force and the Mc was 1.8.Originality/value-The findings of this paper were significant for the quality control of HRGA compaction. 展开更多
关键词 High-speed railway subgrade Graded aggregates Vibratory compaction test Optimal vibration compaction parameters Physical-mechanical indicator
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