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Optimization of Milling Operation Parameter by Extended Taguchi Method


Affiliations
1 Department of Mechanical Engineering, Chouksey Engineering College, Bilaspur, India
2 Department of Mechanical Engineering, Lakhmi Chand Institute of Technology, Bilaspur, India
     

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It has long been recognized that conditions during cutting, such as feed rate, cutting speed and depth of cut, should be selected to optimize the economics of machining operations as assessed by productivity, total manufacturing cost per component or some other suitable criterion. These quality features are highly correlated and are expected to be influenced directly or indirectly by the direct effect of process parameters or their interactive effects create multiobjective problems. To predict this problem we take the sixteen combinations of milling machining operation from DOE. In view of the fact, that traditional Taguchi method cannot solve a multi-objective optimization problem; to overcome this limitation grey relational theory has been coupled with Taguchi method. This problem can be solved by extended Taguchi’s method to convert multi objective problem into single objective problem. The developed models for different constraints have been used for the construction of an optimization programmed which can be used to obtain optimum cutting speeds, feed rates, axial depth of cut and radial depth of cut under different constraints.

Keywords

Milling, Quality, Surface Roughness, Material Removal Rate.
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  • Optimization of Milling Operation Parameter by Extended Taguchi Method

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Authors

Sharda Pratap Shrivas
Department of Mechanical Engineering, Chouksey Engineering College, Bilaspur, India
Kailash Kumar Kakkad
Department of Mechanical Engineering, Chouksey Engineering College, Bilaspur, India
Manoj Kumar Sahoo
Department of Mechanical Engineering, Lakhmi Chand Institute of Technology, Bilaspur, India

Abstract


It has long been recognized that conditions during cutting, such as feed rate, cutting speed and depth of cut, should be selected to optimize the economics of machining operations as assessed by productivity, total manufacturing cost per component or some other suitable criterion. These quality features are highly correlated and are expected to be influenced directly or indirectly by the direct effect of process parameters or their interactive effects create multiobjective problems. To predict this problem we take the sixteen combinations of milling machining operation from DOE. In view of the fact, that traditional Taguchi method cannot solve a multi-objective optimization problem; to overcome this limitation grey relational theory has been coupled with Taguchi method. This problem can be solved by extended Taguchi’s method to convert multi objective problem into single objective problem. The developed models for different constraints have been used for the construction of an optimization programmed which can be used to obtain optimum cutting speeds, feed rates, axial depth of cut and radial depth of cut under different constraints.

Keywords


Milling, Quality, Surface Roughness, Material Removal Rate.

References