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Simulation-Based Construction of Three-Dimensional Process Model for Punching Cartridge Cases 被引量:1
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作者 Zhifang Wei Yechang Hu +1 位作者 Wu Lyu Jianzhong Gao 《Journal of Beijing Institute of Technology》 EI CAS 2018年第2期276-284,共9页
A method of constructing three-dimensional process model for the punching cartridge cases is presented based on DEFORM simulation analysis. Using DEFORM software,the finite element simulation models for the punching a... A method of constructing three-dimensional process model for the punching cartridge cases is presented based on DEFORM simulation analysis. Using DEFORM software,the finite element simulation models for the punching and forming process of cartridge cases are established,and the corresponding simulation result model of each intermediate procedure is obtained by continuously performing the forming process simulation. The simulation model cannot annotate size and process information due to poor interface between DEFORM software and CAD software. Thus,a 3D annotation module is developed with secondary development technology of UG NX software. Consequently,the final process model with dimension and process information is obtained. Then,with the current 3D process management system,the 3D punching and forming process design of cartridge cases can be completed further. An example is also provided to illustrate that the relative error between the simulation process model and the physical model is less than 2%,which proves the validity and reliability of the proposed method in this study. 展开更多
关键词 punching three-dimensional process model finite element simulation three-dimensional annotation
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Numerical simulation study of the failure evolution process and failure mode of surrounding rock in deep soft rock roadways 被引量:15
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作者 Meng Qingbin Han Lijun +3 位作者 Xiao Yu Li Hao Wen Shengyong Zhang Jian 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2016年第2期209-221,共13页
Based on the safety coefficient method,which assigns rock failure criteria to calculate the rock mass unit,the safety coefficient contour of surrounding rock is plotted to judge the distribution form of the fractured ... Based on the safety coefficient method,which assigns rock failure criteria to calculate the rock mass unit,the safety coefficient contour of surrounding rock is plotted to judge the distribution form of the fractured zone in the roadway.This will provide the basis numerical simulation to calculate the surrounding rock fractured zone in a roadway.Using the single factor and multi-factor orthogonal test method,the evolution law of roadway surrounding rock displacements,plastic zone and stress distribution under different conditions is studied.It reveals the roadway surrounding rock burst evolution process,and obtains five kinds of failure modes in deep soft rock roadway.Using the fuzzy mathematics clustering analysis method,the deep soft surrounding rock failure model in Zhujixi mine can be classified and patterns recognized.Compared to the identification results and the results detected by geological radar of surrounding rock loose circle,the reliability of the results of the pattern recognition is verified and lays the foundations for the support design of deep soft rock roadways. 展开更多
关键词 Deep soft rock roadway Evolutionary process Failure model Numerical simulation model recognition
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Multi-objective optimization of high-sulfur natural gas purif ication plant 被引量:1
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作者 Jian-Feng Shang Zhong-Li Ji +1 位作者 Min Qiu Li-Min Ma 《Petroleum Science》 SCIE CAS CSCD 2019年第6期1430-1441,共12页
There exists large space to save energy of high-sulfur natural gas purification process.The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption a... There exists large space to save energy of high-sulfur natural gas purification process.The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption and further improve the production rate of purified gas.A steady-state simulation model of high-sulfur natural gas purification process has been set up by using ProMax.Seven key operating parameters of the purification process have been determined based on the analysis of comprehensive energy consumption distribution.To solve the problem that the process model does not converge in some conditions,back-propagation(BP)neural network has been applied to substitute the simulation model to predict the relative parameters in the optimization model.The uniform design method and the table U21(107)have been applied to design the experiment points for training and testing BP model.High prediction accuracy can be achieved by using the BP model.Nondominated sorting genetic algorithm-II has been developed to optimize the two objectives,and 100 Pareto optimal solutions have been obtained.Three optimal points have been selected and evaluated further.The results demonstrate that the total comprehensive energy consumption is reduced by 13.4%and the production rate of purified gas is improved by 0.2%under the optimized operating conditions. 展开更多
关键词 High-sulfur natural gas purifi cation plant Multi-objective optimization process simulation model Thermodynamic analysis BP neural network Genetic algorithm
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