Manufacturing Technology Today

S. P. Lathkar ¹, B. Rajiv ², B. B. Ahuja ², S. K. Basu ²

Affiliations
1 MGM’S Research Centre, Nanded, IN
2 Department of Production Engineering and Industrial Management, College of Engineering, Pune, IN

Abstract

This paper presents comparative experimental study on machining characteristics of through holes (1000 micron) produced on special alloy steel, Stavax, thick plate with different types of dielectrics. Fast hole rotary Near Dry EDM (NDEDM) machine using tubular hollow brass electrodes are used for machining. Several holes are drilled using identical input parameters based on full factorial design of experiment procedure with four center points. Corresponding values of Material Removal Rate (MRR), Tool Wear Rate (TWR), MRR /TWR ratio & % Electrode Ratio are calculated and compared. The empirical relationship for above responses are developed using Regression Analysis. Surface Response Curves are plotted to compare response of interest. The results revealed that MRR,TWR & MRR/TWR (λ) ratio depends up on appropriate selection of input parameters as well as selection of dielectric.

Keywords

Near Dry Electro Discharge Machining (NDEDM), MRR, TWR, Surface Response Curves.

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M. S. Kadam ¹, S. K. Basu ²

Affiliations
1 Production Engg. Dept., Jawaharlal Nehru Engg. College, Aurangabad-431006, IN
2 Production Engg. Dept., College of Engg., Pune-411005, IN

Abstract

This paper illustrates the role of Binary Coded Genetic Algorithm to optimize the machining parameters viz:Duty Factor, Peak Current and Wire Speed in Wire-Cut Electrical Discharge Machining Process to maximize the Cutting Speed. In present work, Single Pass Cutting of High Chromium High Carbon Die Steel material has been considered for the response parameters Cutting Speed and Surface Roughness. Determination of the generalized relationship of Cutting Speed and Surface Roughness dependant on the variable machining parameters of WEDM using adequate mathematical model based on Factorial Regression and ANOVA is done. Regression coefficient while formulating the relationship for Surface Roughness R_a and Cutting Speed CS are determined for three cases (blocks) taking Stratified Random Sampling. Parameters have also been analyzed for Sensitivity.

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