首页> 外文会议>Advances in powder metallurgy particulate materials - 2008 >PREDICTION OF TOOL WEAR AND TOOL LIFE BY EXPERIMENT/MODELING/SIMULATION OF THE DIE COMPACTION PROCESS
【24h】

PREDICTION OF TOOL WEAR AND TOOL LIFE BY EXPERIMENT/MODELING/SIMULATION OF THE DIE COMPACTION PROCESS

机译:通过模压过程的实验/建模/模拟来预测刀具磨损和刀具寿命

获取原文
获取外文期刊封面目录资料

摘要

Prediction of tool life caused by tool wear is of great importance during die compaction processes in the powder metallurgy industry. In this study, experiment, modeling, and simulation are integrated to predict tool wear and life of the die. We utilized a specially-modified, "pin-on-flat" reciprocating test to quantify the amount of tool wear with a matrix of experiments consisting of three tool materials and two mixture powders. The modified "loop test" is also employed to provide comparison results. We propose the new model of "wear work" by integration of frictional stress multiplied by velocity with respect to contact area and time. By combining wear data with information on the hardness of the die materials, we can predict tool wear and life. For complex components, the finite element simulation is used to calculate the wear work and to select critical factor with sensitivity analysis concept.
机译:在粉末冶金工业中,在压模过程中,由工具磨损引起的工具寿命的预测非常重要。在这项研究中,将实验,建模和仿真集成在一起以预测工具的磨损和模具的寿命。我们利用经过特殊修改的“平销式”往复式试验来量化工具磨损量,并采用由三种工具材料和两种混合粉末组成的实验矩阵。修改后的“回路测试”也用于提供比较结果。通过将摩擦应力乘以相对于接触面积和时间的速度乘以积分,我们提出了“磨损工作”的新模型。通过将磨损数据与模具材料的硬度信息相结合,我们可以预测工具的磨损和寿命。对于复杂的零件,使用有限元模拟来计算磨损功并利用灵敏度分析概念选择关键因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号