Manufacturing Technology Today

N. Baskar ¹, P. Asokan ², R. Saravanan ³, G. Prabhaharan ²

Affiliations
1 School of Mechanical Engineering, Shanmugha Arts, Science, Technology & Research Academy, Thanjavur-613402, IN
2 Department of Production Engineering, Regional Engineering College, Tiruchirappalli-620015, IN
3 Department of Mechanical Engineering, J.J. College of Engineering & Technology, Tiruchirappalli-620009, IN

Abstract

In metal cutting process, cutting conditions have an influence on reducing the production time and cost. The variables affecting the economics of machining operations are numerous and include machine tool capacity, cutting conditions of velocity, feed rate and depth of cut. This paper describes a procedure to calculate the machining conditions for milling operations according to maximum profit rate as the objective function. In this work optimization procedures based on the Memetic Algorithm were developed for the optimization of machining parameters for multi-tool milling operation. An example has been presented at the end of the paper to give clear picture from the application of the system and its efficiency The results are compared and analyzed with Method of feasible direction and Handbook recommendations.

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A. Thillaivanan ¹, P. Asokan ¹, G. Prabhaharan ¹

Affiliations
1 Department of Production Engineering, Regional Engineering College, Tiruchirappalli-620015, IN

Abstract

The tool and die making industry has always been faced with an increasing demand for precision and accuracy. The necessity to machine hard materials, complex shapes and contours which are difficult by conventional methods has created the need for Wire Electro Discharge Machine (WEDM). The economy of machining mainly depends on the machining parameters. Optimization of machining parameters is an important step and has been dealt by many researchers. In this paper Genetic algorithm {GA}, Simulated annealing (SA) and Continuous Ants Colony algorithm (CACO) based optimization procedures have been developed to optimize machining parameters viz. pulse on time, pulse off time, peak current, wire feed rate, and machining speed. The Objective functions considered for the optimization of cutting parameters are viz. maximization of Metal Removal Rate (MRR) and minimization of surface roughness. Test results show that among the other optimization techniques, CACO Is an effective method for wire EDM.

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