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

Journal of Applied and Computational Mechanics

C.S. Sumesh¹  K. Krishnaprasad¹  A. Ramesh¹ 

[1] Department of Mechanical Engineering, Amrita school of Engineering, Coimbatore, Amrtia Vishwa Vidyapeetham, India;

关键词: Face Milling;    AISI 304 Steel;    Surface Roughness;    Flatness;    Material Removal Rate;    Response Surface Methodology;   

DOI  :  10.22055/jacm.2019.27528.1414

来源: DOAJ

【 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.

【 授权许可】

Unknown