Application of grey based taguchi method to determine optimal end milling parameters

Authors:
Shasha Zeng;Youlun Xiong
Affiliations:
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China;State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China
Venue:
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
Year:
2012

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Abstract

A multi-objective optimization problem has been proposed and developed in determination of the optimal combination of end milling process parameters. Experiments have been designed with five input cutting process parameters at five different levels. The values of surface roughness in both down milling process and up milling process are the required objective parameters. The Taguchi optimization technology coupled with Grey relational analysis has been applied for solving the proposed multi-objective optimization problem to achieve the desired machined surface quality characteristics. Simulation experiments give the optimal parametric combination. Furthermore, the modeling of machined surface topography on the texture profiles along the feed direction is formulated as a nonlinear programming problem with constrained conditions. Simulation experiments for the machined surface topography with the initial and optimal combination of end milling process parameters are implemented and the simulation results verify the feasibility of the proposed model and method.