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Laser-assisted full-size PDC bit:Drilling performance and parameter optimization 认领 引用
1
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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Dimensional control of turbine blades via RSM-based process parameter optimization in investment casting 认领 引用
2
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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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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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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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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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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Cutting parameter optimization for one-step shaft excavation technique based on parallel cutting method 认领 引用 被引量：13
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作者 Qi-yue LI Kai LIU +2 位作者 Xi-bing LI Ze-wei WANG Lei WENG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2018年第7期1414-1424,共11页
The outcome of the cutting blasting in a one-step shaft excavation is heavily related to the cutting parameters used for parallel cutting method. In this study, the relationships between the cutting parameters（such a... The outcome of the cutting blasting in a one-step shaft excavation is heavily related to the cutting parameters used for parallel cutting method. In this study, the relationships between the cutting parameters（such as the hole spacing L and the empty hole diameter D） and damage zones were investigated by numerical simulation. A damage state index γ was introduced and used to characterize the crushing and crack damage zones through a user-defined subroutine. Two indices, i.e., η1 and η2 that can reflect the cutting performance, were also introduced. The simulation results indicate that an optimal value of L can be obtained so that the η1 and η2 can reach their optimal states for the best cutting performance. A larger D results in better cutting performance when the L value maintains its best. In addition, the influences of the loading rate and the in-situ stress on the cutting performance were investigated. It is found that an explosive with a high loading rate is suit for cutting blasting. The propagation direction and the length of the tensile cracks are affected by the direction and the magnitude of the maximum principal stress. 展开更多
关键词 shaft excavation prime cutting blasting numerical analysis cutting parameter optimization loading rate
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Parameter optimization for tungsten carbide/Ni-based composite coating deposited by plasma transferred arc hardfacing 认领 引用 被引量：14
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作者 Ying WEI Xian-shun WEI +3 位作者 Bo CHEN Jian-yong ZUO Tian-cai MA Jun SHEN 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2018年第12期2511-2519,共9页
Ni-based composite coatings with a high content of tungsten carbides(Stelcar65composite coatings)were synthesized by plasma transferred arc(PTA)hardfacing.The welding parameters of Stelcar65composite coatings were opt... Ni-based composite coatings with a high content of tungsten carbides(Stelcar65composite coatings)were synthesized by plasma transferred arc(PTA)hardfacing.The welding parameters of Stelcar65composite coatings were optimized by orthogonal tests.The PTA welding parameters including welding current,powder feed rate and welding speed have significant influence on the tungsten carbide degradation.The values for the optimum welding current,powder feed rate and welding speed were determined to be100A,25g/min and40mm/min,respectively.The produced WC/Ni-based composite coatings were crack-and degradation-free.The microstructure of deposited layers,as well as the microstructure and microhardness of the optimal coating were further analyzed. 展开更多
关键词 plasma transferred arc hardfacing Ni-based composite microstructure welding parameter optimization
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Parameter optimization for improved aerodynamic performance of louver-type wind barrier for train-bridge system 认领 引用 被引量：19
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作者 HE Xu-hui FANG Dong-xu +1 位作者 LI Huan SHI Kang 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第1期229-240,共12页
To improve the safety of trains running in an undesirable wind environment,a novel louver-type wind barrier is proposed and further studied in this research using a scaled wind tunnel simulation with 1:40 scale models... To improve the safety of trains running in an undesirable wind environment,a novel louver-type wind barrier is proposed and further studied in this research using a scaled wind tunnel simulation with 1:40 scale models.Based on the aerodynamic performance of the train-bridge system,the parameters of the louver-type wind barrier are optimized.Compared to the case without a wind barrier,it is apparent that the wind barrier improves the running safety of trains,since the maximum reduction of the moment coefficient of the train reaches 58%using the louver-type wind barrier,larger than that achieved with conventional wind barriers(fence-type and grid-type).A louver-type wind barrier has more blade layers,and the rotation angle of the adjustable blade of the louver-type wind barrier is 90–180°(which induces the flow towards the deck surface),which is more favorable for the aerodynamic performance of the train.Comparing the 60°,90°and 120°wind fairings of the louver-type wind barrier blade,the blunt fairing is disadvantageous to the operational safety of the train. 展开更多
关键词 wind barrier aerodynamic force train-bridge system scaled wind tunnel simulation parameter optimization
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Flow measurement and parameter optimization of right-angled flow passage in hydraulic manifold block 认领 引用 被引量：7
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作者 HU Jian-jun CHEN Jin +1 位作者 QUAN Ling-xiao KONG Xiang-dong 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第4期852-864,共13页
This study was conducted to investigate the flow field characteristics of right-angled flow passage with various cavities in the typical hydraulic manifold block.A low-speed visualization test rig was developed and th... This study was conducted to investigate the flow field characteristics of right-angled flow passage with various cavities in the typical hydraulic manifold block.A low-speed visualization test rig was developed and the flow field of the right-angled flow passage with different cavity structures was measured using 2D-PIV technique.Numerical model was established to simulate the three-dimensional flow field.Seven eddy viscosity turbulence models were investigated in predicting the flow field by comparing against the particle image relocimetry(PIV)measurement results.By defining the weight error function K,the S-A model was selected as the appropriate turbulence model.Then,a three-factor,three-level response surface numerical test was conducted to investigate the influence of flow passage connection type,cavity diameter and cavity length-diameter ratio on pressure loss.The results show that the Box-Benhnken Design(BBD)model can predict the total pressure loss accurately.The optimal factor level appeared in flow passage connection type II,14.64 mm diameter and 67.53%cavity length-diameter ratio.The total pressure loss decreased by 11.15%relative to the worst factor level,and total pressure loss can be reduced by 64.75%when using an arc transition right-angled flow passage,which indicates a new direction for the optimization design of flow passage in hydraulic manifold blocks. 展开更多
关键词 flow measurement particle image relocimetry right-angled flow passage parameter optimization
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A New Approach for Parameter Optimization in Land Surface Model 认领 引用 被引量：7
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作者 李红祺 郭维栋 +2 位作者 孙国栋 张耀存 符淙斌 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2011年第5期1056-1066,共11页
In this study,a new parameter optimization method was used to investigate the expansion of conditional nonlinear optimal perturbation （CNOP） in a land surface model （LSM） using long-term enhanced field observation... In this study,a new parameter optimization method was used to investigate the expansion of conditional nonlinear optimal perturbation （CNOP） in a land surface model （LSM） using long-term enhanced field observations at Tongyu station in Jilin Province,China,combined with a sophisticated LSM （common land model,CoLM）.Tongyu station is a reference site of the international Coordinated Energy and Water Cycle Observations Project （CEOP） that has studied semiarid regions that have undergone desertification,salination,and degradation since late 1960s.In this study,three key land-surface parameters,namely,soil color,proportion of sand or clay in soil,and leaf-area index were chosen as parameters to be optimized.Our study comprised three experiments：First,a single-parameter optimization was performed,while the second and third experiments performed triple-and six-parameter optimizations,respectively.Notable improvements in simulating sensible heat flux （SH）,latent heat flux （LH）,soil temperature （TS）,and moisture （MS） at shallow layers were achieved using the optimized parameters.The multiple-parameter optimization experiments performed better than the single-parameter experminent.All results demonstrate that the CNOP method can be used to optimize expanded parameters in an LSM.Moreover,clear mathematical meaning,simple design structure,and rapid computability give this method great potential for further application to parameter optimization in LSMs. 展开更多
关键词 land surface model parameter optimization conditional nonlinear optimal perturbation （CNOP）
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Influence of TiB2 particles on machinability and machining parameter optimization of TiB2/Al MMCs 认领 引用 被引量：4
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作者 Ruisong JIANG Xinfa CHEN +2 位作者 Renwei GE Wenhu WANG Guodong SONG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2018年第1期187-196,共10页
In situ formed TiB2 particle reinforced aluminum matrix composites （TiB2/Al MMCs） have some extraordinary properties which make them be a promising material for high performance aero-engine blade. Due to the influen... In situ formed TiB2 particle reinforced aluminum matrix composites （TiB2/Al MMCs） have some extraordinary properties which make them be a promising material for high performance aero-engine blade. Due to the influence of TiB2 particles, the machinability is still a problem which restricts the application of TiB2/Al MMCs. In order to meet the industrial requirements, the influence of TiB2 particles on the machinability of TiB2/Al MMCs was investigated experimentally. Moreover, the optimal machining conditions for this kind of MMCs were investigated in this study. The major conclusions are： （1） the machining force of TiB2/Al MMCs is bigger than that of non- reinforced alloy and mainly controlled by feed rate; （2） the residual stress of TiB2/AI MMCs is compressive while that of non-reinforced alloy is nearly neutral; （3） the surface roughness of TiB2/Al MMCs is smaller than that of non-reinforced alloy under the same cutting speed, but reverse result was observed when the feed rate increased; （4） a multi-objective optimization model for surface roughness and material removal rate （MRR） was established, and a set of optimal parameter combinations of the machining was obtained. The results show a great difference from SiC particle reinforced MMCs and provide a useful guide for a better control of machining process of this material. 展开更多
关键词 Machinability Machining Metal matrix composites Parameter optimization TiB2 particles
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Novel Approach to Nonlinear PID Parameter Optimization Using Ant Colony Optimization Algorithm 认领 引用 被引量：12
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作者 Duan Hai-bin Wang Dao-bo Yu Xiu-fen 《Journal of Bionic Engineering》 EI 2006年第2期73-78,共6页
This paper presents an application of an Ant Colony Optimization （ACO） algorithm to optimize the parameters in the design of a type of nonlinear PID controller. The ACO algorithm is a novel heuristic bionic algorith... This paper presents an application of an Ant Colony Optimization （ACO） algorithm to optimize the parameters in the design of a type of nonlinear PID controller. The ACO algorithm is a novel heuristic bionic algorithm, which is based on the behaviour of real ants in nature searching for food. In order to optimize the parameters of the nonlinear PID controller using ACO algorithm, an objective function based on position tracing error was constructed, and elitist strategy was adopted in the improved ACO algorithm. Detailed simulation steps are presented. This nonlinear PID controller using the ACO algorithm has high precision of control and quick response. 展开更多
关键词 Ant Colony Optimization algorithm pheromone nonlinear PID parameter optimization
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Fracture propagation,proppant transport and parameter optimization of multi-well pad fracturing treatment 认领 引用 被引量：4
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作者 YANG Peng ZHANG Shicheng +4 位作者 ZOU Yushi LI Jianmin MA Xinfang TIAN Gang WANG Junchao 《Petroleum Exploration and Development》 SCIE 2023年第5期1225-1235,共11页
This paper establishes a 3D multi-well pad fracturing numerical model coupled with fracture propagation and proppant migration based on the displacement discontinuity method and Eulerian-Eulerian frameworks,and the fr... This paper establishes a 3D multi-well pad fracturing numerical model coupled with fracture propagation and proppant migration based on the displacement discontinuity method and Eulerian-Eulerian frameworks,and the fracture propagation and proppant distribution during multi-well fracturing are investigated by taking the actual multi-well pad parameters as an example.Fracture initiation and propagation during multi-well pad fracturing are jointly affected by a variety of stress interference mechanisms such as inter-cluster,inter-stage,and inter-well,and the fracture extension is unbalanced among clusters,asymmetric on both wings,and dipping at heels.Due to the significant influence of fracture morphology and width on the migration capacity of proppant in the fracture,proppant is mainly placed in the area near the wellbore with large fracture width,while a high-concentration sandwash may easily occur in the area with narrow fracture width as a result of quick bridging.On the whole,the proppant placement range is limited.Increasing the well-spacing can reduce the stress interference of adjacent wells and promote the uniform distribution of fractures and proppant on both wings.The maximum stimulated reservoir volume or multi-fracture uniform propagation can be achieved by optimizing the well spacing.Although reducing the perforation-cluster spacing also can improve the stimulated reservoir area,a too low cluster spacing is not conducive to effectively increasing the propped fracture area.Since increasing the stage time lag is beneficial to reduce inter-stage stress interference,zipper fracturing produces more uniform fracture propagation and proppant distribution. 展开更多
关键词 multi-well pad multi-well fracturing fracture propagation proppant transport coupled numerical model fracturing parameter optimization
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Predictive Modeling and Parameter Optimization of Cutting Forces During Orbital Drilling 认领 引用 被引量：5
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作者 单以才 李亮 +2 位作者 何宁 秦晓杰 章婷 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2014年第5期521-529,共9页
To optimize cutting control parameters and provide scientific evidence for controlling cutting forces,cutting force modeling and cutting control parameter optimization are researched with one tool adopted to orbital d... To optimize cutting control parameters and provide scientific evidence for controlling cutting forces,cutting force modeling and cutting control parameter optimization are researched with one tool adopted to orbital drill holes in aluminum alloy 6061.Firstly,four cutting control parameters(tool rotation speed,tool revolution speed,axial feeding pitch and tool revolution radius)and affecting cutting forces are identified after orbital drilling kinematics analysis.Secondly,hybrid level orthogonal experiment method is utilized in modeling experiment.By nonlinear regression analysis,two quadratic prediction models for axial and radial forces are established,where the above four control parameters are used as input variables.Then,model accuracy and cutting control parameters are analyzed.Upon axial and radial forces models,two optimal combinations of cutting control parameters are obtained for processing a13mm hole,corresponding to the minimum axial force and the radial force respectively.Finally,each optimal combination is applied in verification experiment.The verification experiment results of cutting force are in good agreement with prediction model,which confirms accracy of the research method in practical production. 展开更多
关键词 orbital drilling cutting force hybrid level orthogonal experiment method prediction model parameter optimization
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Reinforcement learning based parameter optimization of active disturbance rejection control for autonomous underwater vehicle 认领 引用 被引量：5
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作者 SONG Wanping CHEN Zengqiang +1 位作者 SUN Mingwei SUN Qinglin 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2022年第1期170-179,共10页
This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater ve... This paper proposes a liner active disturbance rejection control(LADRC) method based on the Q-Learning algorithm of reinforcement learning(RL) to control the six-degree-of-freedom motion of an autonomous underwater vehicle(AUV).The number of controllers is increased to realize AUV motion decoupling.At the same time, in order to avoid the oversize of the algorithm, combined with the controlled content, a simplified Q-learning algorithm is constructed to realize the parameter adaptation of the LADRC controller.Finally, through the simulation experiment of the controller with fixed parameters and the controller based on the Q-learning algorithm, the rationality of the simplified algorithm, the effectiveness of parameter adaptation, and the unique advantages of the LADRC controller are verified. 展开更多
关键词 autonomous underwater vehicle(AUV) reinforcement learning(RL) Q-learning linear active disturbance rejection control(LADRC) motion decoupling parameter optimization
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PROCESSING PARAMETER OPTIMIZATION OF FDM BASED ON ROBUST DESIGN 认领 引用 被引量：9
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作者 张剑峰 彭安华 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2012年第1期62-67,共6页
The influence of processing parameters on the precision of parts fabricated by fused deposition modeling （FDM） technology is studied based on a series of performed experiments. Processing parameters of FDM in terms ... The influence of processing parameters on the precision of parts fabricated by fused deposition modeling （FDM） technology is studied based on a series of performed experiments. Processing parameters of FDM in terms of wire-width compensation, extrusion velocity, filing velocity, and layer thickness are chosen as the control fac- tors. Robust design analysis and multi-index fuzzy comprehensive assessment method are used to obtain the opti- mal parameters. Results show that the influencing degrees of these four factors on the precision of as-processed parts are different. The optimizations of individual parameters and their combined effects are of the same impor- tance for a high precision manufacturing. 展开更多
关键词 fused deposition modeling （FDM） robust design fuzzy comprehensive assessment parameter optimization
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Parameter optimization of gravity density inversion based on correlation searching and the golden section algorithm 认领 引用 被引量：1
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作者 Sun Lu-Ping Liu Zhan +1 位作者 Shou Hao Zhang Yu-Hua 《Applied Geophysics》 SCIE CSCD 2012年第2期131-138,233,共8页
For density inversion of gravity anomaly data,once the inversion method is determined,the main factors affecting the inversion result are the inversion parameters and subdivision scheme.A set of reasonable inversion p... For density inversion of gravity anomaly data,once the inversion method is determined,the main factors affecting the inversion result are the inversion parameters and subdivision scheme.A set of reasonable inversion parameters and subdivision scheme can,not only improve the inversion process efficiency,but also ensure inversion result accuracy.The gravity inversion method based on correlation searching and the golden section algorithm is an effective potential field inversion method.It can be used to invert 2D and 3D physical properties with potential data observed on flat or rough surfaces.In this paper,we introduce in detail the density inversion principles based on correlation searching and the golden section algorithm.Considering that the gold section algorithm is not globally optimized.we present a heuristic method to ensure the inversion result is globally optimized.With a series of model tests,we systematically compare and analyze the inversion result efficiency and accuracy with different parameters.Based on the model test results,we conclude the selection principles for each inversion parameter with which the inversion accuracy can be obviously improved. 展开更多
关键词 Density inversion correlation searching golden section algorithm inversion parameter optimization
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Analysis of Additional Damping Control Strategy and Parameter Optimization for Improving Small Signal Stability of VSC-HVDC System 认领 引用 被引量：1
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作者 Hui Fang Jingsen Zhou +3 位作者 Hanjie Liu Yanxu Wang Hongji Xiang Yechun Xin 《Energy Engineering》 EI 2023年第4期931-948,共18页
The voltage source converter based high voltage direct current(VSC-HVDC)system is based on voltage source converter,and its control system is more complex.Also affected by the fast control of power electronics,oscilla... The voltage source converter based high voltage direct current(VSC-HVDC)system is based on voltage source converter,and its control system is more complex.Also affected by the fast control of power electronics,oscillation phenomenon in wide frequency domain may occur.To address the problem of small signal stability of the VSCHVDC system,a converter control strategy is designed to improve its small signal stability,and the risk of system oscillation is reduced by attaching a damping controller and optimizing the control parameters.Based on the modeling of the VSC-HVDC system,the general architecture of the inner and outer loop control of the VSCHVDC converter is established;and the damping controllers for DC control and AC control are designed in the phase-locked loop and the inner and outer loop control parts respectively;the state-space statemodel of the control system is established to analyze its performance.And the electromagnetic transient simulation model is built on the PSCAD/EMTDC simulation platform to verify the accuracy of the small signal model.The influence of the parameters of each control part on the stability of the system is summarized.The main control parts affecting stability are optimized for the phenomenon of oscillation due to changes in operation mode occurring on the AC side due to faults and other reasons,which effectively eliminates system oscillation and improves system small signal stability,providing a certain reference for engineering design. 展开更多
关键词 VSC-HVDC system small signal modeling eigenvalue analysis parameter optimization
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