SGER: Inverse Analysis Methodology to Determine Flow Stress Data for Finite Element Modeling of Machining

这个小型探索性研究基金(SGER)项目的研究目标是开发一种新的方法，用于确定金属切削中存在的大应变、应变率和温度条件下的材料性能。这些特性数据随后可用于机械加工操作的有限元分析。该方法将包括三个任务：1)开发用于二维(正交)切割的先进的稳态有限元模型，2)开发反分析算法，以及3)通过实验验证所开发的反分析方法以确定使用正交切割试验的流动应力数据。该项目的结果将是获得“虚拟加工”，即加工过程的计算机模拟的材料数据的可靠测试方法。因此，代表北美制造业很大一部分的研究人员以及加工公司将拥有进行可靠加工模拟的工具。与其他应用程序一样，加工操作模拟可节省时间和成本。因此，该项目的结果将有助于提高整个制造业的生产率，特别是制造通过机械加工生产的刀具和机械部件的公司。

The research objective of this Small Grant for Exploratory Research (SGER) project is to develop a new method for determining material properties under large strain, strain rate and temperature conditions that exist in metal cutting. These property data can then be used in finite element analysis of machining operations. The approach will include three tasks: 1) development of advanced steady state finite element model for two-dimensional (orthogonal) cutting, 2) development of an inverse analysis algorithm, and 3) experimental validation of the developed inverse analysis methodology to determine flow stress data using orthogonal cutting tests.The results of this project will be a reliable test method for obtaining material data for "virtual machining", i.e. computer simulation of machining processes. Thus, researchers as well the machining companies, that represent a large portion of North American manufacturing industry will have a tool for conducting reliable machining simulations. As with other applications, simulation of machining operations saves time and costs. Consequently, the results of this project will contribute to productivity increases across the manufacturing industry, especially with companies that manufacture cutting tools and mechanical components produced by machining.