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Warm Compaction Process of P/M Steels by Orthogonal Testing Method
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作者 叶途明 YI Jianhong +2 位作者 PENG Yuandong XIA Qinglin WANG Hongzhong 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2008年第1期105-108,共4页
In order to achieve higher density of P/M steels using the die wall lubrication compacting method or powder lubricant in warm compaction process, the influence of different process parameters on the green density of w... In order to achieve higher density of P/M steels using the die wall lubrication compacting method or powder lubricant in warm compaction process, the influence of different process parameters on the green density of warm compacted samples was studied. According to the orthogonal test method, the authors systematically study the influence of the different compaction pressure, condition of lubrication and compaction temperature on the green density of the sample in the warm compaction process, and put forward the optimal process parameter of warm compaction experiment. It is found that, a high compaction pressure (≥700 MPa), die wall lubrication combined with a small amount of internal lubricants, and fitting compaction temperature by different condition of lubrication, are the optimal parameters in warm compaction process. 展开更多
关键词 warm compaction orthogonal test method die wall lubrication particle rearrangement plastic deformation
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Mesoscopic-Scale Numerical Investigation Including the Influence of Process Parameters on LPBF Multi-Layer Multi-Path Formation 被引量:3
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作者 Liu Cao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2021年第1期5-23,共19页
As a typical laser additive manufacturing technology,laser powder bed fusion(LPBF)has achieved demonstration applications in aerospace,biomedical and other fields.However,how to select process parameters quickly and r... As a typical laser additive manufacturing technology,laser powder bed fusion(LPBF)has achieved demonstration applications in aerospace,biomedical and other fields.However,how to select process parameters quickly and reasonably is still themain concern of LPBF production.In order to quantitatively analyze the influence of different process parameters(laser power,scanning speed,hatch space and layer thickness)on the LPBF process,the multilayer and multi-path forming process of LPBF was predicted based on the open-source discrete element method framework Yade and the open-source finite volume method framework OpenFOAM.Based on the design of experiments method,a four-factor three-level orthogonal test scheme was designed,and the porosity and surface roughness data of each calculation scheme were extracted.By analyzing the orthogonal test data,it was found that as the laser power increased,the porosity decreased,and as the scanning speed,hatch space,and layer thickness increased,the porosity increased.In addition,the influence of laser power and scanning speed on surface roughness showed a trend of decreasing first and then increasing,while the influence of scanning distance and layer thickness on surface roughness showed amonotonous increasing trend.The order of the influence of each process parameter on porosity was:scanning speed>laying thickness>laser power>hatch space,and the order of the influence of each process parameter on surface roughness was:hatch space>layer thickness>laser power>scanning speed.So the porosity of the part is most sensitive to scanning speed,and the surface roughness is the most sensitive to hatch space.The above conclusions are expected to provide process control basis for actual LPBF production of the 316L stainless steel alloy. 展开更多
关键词 Laser powder bed fusion process parameter POROSITY surface roughness orthogonal test method numerical simulation
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Damage evolution analysis of cast steel GS-20Mn5V based on modified GTN model 被引量:3
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作者 Yan Huadong Jin Hui 《Journal of Southeast University(English Edition)》 EI CAS 2018年第3期364-370,共7页
A modified Gurson-Tvergaard-Needleman (GTN) model that accounts for the mixed (isotropic and kinematic) hardening of cast steel GS-20Mn5V was developed and implemented in the finite dement program ABAQUS/Standard ... A modified Gurson-Tvergaard-Needleman (GTN) model that accounts for the mixed (isotropic and kinematic) hardening of cast steel GS-20Mn5V was developed and implemented in the finite dement program ABAQUS/Standard via a user-defined material subroutine UMAT. This model couples the stress state and damage evolution (pore volume fraction increase) by a classic method that assumes that the total void volume fraction is divided into a nucleation and a growth part. A parametric study was conducted to assess the effect of modified GTN model parameters on mechanical properties such as the nucleation, growth and coalescence of voids and to obtain the optimal parameter combination by the orthogonal test method. The predicted load-displacement curves of notched specimens with the optimal parameters are favorably compared to the experimental curves. Therefore, the modified GTN model can be used to predict the damage evaluation and fracture behavior of GS-20Mn5V. 展开更多
关键词 cast steel Gurson-Tvergaard-Needleman(GTN)model damage evolution orthogonal test method optimalparameter combination
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Sensitivity Analysis of Thermal Properties on Numerical Simulation Results of Quenching Process
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作者 周志方 顾剑锋 +1 位作者 王晓燕 潘健生 《Journal of Shanghai Jiaotong university(Science)》 EI 2011年第6期759-762,共4页
A three-factor three-level orthogonal test project has been designed based on the numerical simulation of a Jominy quenching process.Then the data scattering effects of thermal conductivity and enthalpy of tested stee... A three-factor three-level orthogonal test project has been designed based on the numerical simulation of a Jominy quenching process.Then the data scattering effects of thermal conductivity and enthalpy of tested steel,as well as the heat exchange coefficients of the cooling media,on the results have been studied.The results can be used as a reference for choosing the input thermal parameter in finite element simulation of quenching,and for evaluating the simulation results. 展开更多
关键词 finite element simulation orthogonal test method thermal input parameters QUENCHING
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