标题:Abrasive Waterjet Machining Simulation by Coupling Smoothed Particle Hydrodynamics/Finite Element Method
作者:Wang Jianming; Gao Na; Gong Wenjun
作者机构:[Wang, J] School of Mechanical Engineering, Shandong University, Jinan 250061, China, Key Laboratory of High Efficiency and Clean Mechanical Manufactu 更多
通讯作者:Wang, J
通讯作者地址:[Wang, JM]Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China.
来源:中国机械工程学报
出版年:2010
卷:23
期:5
页码:568-573
DOI:10.3901/CJME.2010.05.568
关键词:abrasive waterjet machining;randomized algorithm;coupling SPH/FEM;abrasive material models
摘要:In dealing with abrasive waterjet machining(AWJM) simulation, most literatures apply finite element method(FEM) to build pure waterjet models or single abrasive particle erosion models. To overcome the mesh distortion caused by large deformation using FEM and to consider the effects of both water and abrasive, the smoothed particle hydrodynamics(SPH) coupled FEM modeling for AWJM simulation is presented, in which the abrasive waterjet is modeled by SPH particles and the target material is modeled by FEM. The two parts interact through contact algorithm. Utilizing this model, abrasive waterjet with high velocity penetrating the target materials is simulated and the mechanism of erosion is depicted. The relationships between the depth of penetration and jet parameters, including water pressure and traverse speed, etc, are analyzed based on the simulation. The simulation results agree well with the existed experimental data. The mixing multi-materials SPH particles, which contain abrasive and water, are adopted by means of the randomized algorithm and material model for the abrasive is presented. The study will not only provide a new powerful tool for the simulation of abrasive waterjet machining, but also be beneficial to understand its cutting mechanism and optimize the operating parameters.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:6
Scopus被引频次:15
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78449232873&doi=10.3901%2fCJME.2010.05.568&partnerID=40&md5=8b056643df87afac538407d3be9bf3e5
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