Influence of friction models on FE simulation results of orthogonal cutting process
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- 作者：Amir Malakizadi ; Keyvan Hosseinkhani…
- 关键词：Cutting process ; Friction model ; Finite element method ; Artificial neural network ; Johnson ; Cook
- 刊名：The International Journal of Advanced Manufacturing Technology
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：88
- 期：9-12
- 页码：3217-3232
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design;
- 出版者：Springer London
- ISSN：1433-3015
- 卷排序：88
文摘
It is well-known that the reliability of finite element (FE) simulation results of cutting processes depends mainly on two factors: implementation of a well-defined constitutive model which can properly represent the severe deformation in chip formation process as well as the viability of the relation adopted to simulate the frictional condition at the tool-chip interface. In the current study, a systematic approach is presented to evaluate the performance of various friction models in three different FE commercial codes: Deform 2D, Abaqus/Explicit and AdvantEdge. The frictional condition was analysed for two uncoated cemented carbide-plain carbon steel combinations: K10/AISI 1045 and H13A/AISI 1080. The results indicated that approximately similar ranges of minimum average error in simulation responses can be achieved, independently of the FE code used for simulation of the chip formation process and for both tool-work material combinations. The reasons for this observation were critically discussed.