Numerical Modeling and Multi Objective Optimization of Face Milling of AISI 304 Steel

被引:11
|
作者
Krishnaprasad, K. [1 ]
Sumesh, C. S. [1 ]
Ramesh, A. [1 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Mech Engn, Coimbatore, Tamil Nadu, India
来源
JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS | 2019年 / 5卷 / 04期
关键词
Face Milling; AISI; 304; Steel; Surface Roughness; Flatness; Material Removal Rate; Response Surface Methodology; ROUGHNESS PREDICTION; MACHINING PARAMETERS; SURFACE-ROUGHNESS; FORCES; FLATNESS;
D O I
10.22055/JACM.2019.27528.1414
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
There is a requirement to find accurate parameters to accomplish precise dimensional accuracy, excellent surface integrity and maximum MRR. This work studies the influence of various cutting parameters on output parameters like Cutting force, Surface roughness, Flatness, and Material removal rate while face milling. A detailed finite element model was developed to simulate the face milling process. The material constitutive behavior is described by Johnson-Cook material model and the damage criteria is established by Johnson-Cook damage model. The result indicate significant effects of all three cutting parameters on MRR and both feed rate and depth of cut have significant effect on cutting force. Also, feed rate has significant effect on PEEQ and none of the parameters have effect on flatness.
引用
收藏
页码:749 / 762
页数:14
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