This paper is published in Volume-4, Issue-2, 2018
Area
Advanced Manufacturing Processes
Author
Khushboo Kakkar
Co-authors
Neha Rawat, Anbesh Jamwal, Ankur Aggarwal
Org/Univ
Lingaya's Vidyapeeth, Faridabad, Haryana, India
Pub. Date
06 March, 2018
Paper ID
V4I2-1140
Publisher
Keywords
EDM, Al-SiC Composites, Optimization, Taguchi

Citationsacebook

IEEE
Khushboo Kakkar, Neha Rawat, Anbesh Jamwal, Ankur Aggarwal. Optimization of Surface Roughness, Material Removal Rate and Tool Wear Rate in EDM using Taguchi Method, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Khushboo Kakkar, Neha Rawat, Anbesh Jamwal, Ankur Aggarwal (2018). Optimization of Surface Roughness, Material Removal Rate and Tool Wear Rate in EDM using Taguchi Method. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Khushboo Kakkar, Neha Rawat, Anbesh Jamwal, Ankur Aggarwal. "Optimization of Surface Roughness, Material Removal Rate and Tool Wear Rate in EDM using Taguchi Method." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

In the present manufacturing scenario, EDM is the widely used non-traditional machining process which is used to machine hard materials such as alloys or composites. In the last few decades, there are lots of advancements in EDM which makes EDM more popular. There is a wide range of application of EDM in the aerospace, die-making and some other manufacturing sectors which require high precision. EDM is also called as high precision machining which can be used in the batch production where the traditional machining processes fail. In the last few years the developments in the new tool material, optimization techniques, and conductive ceramics have made some new research scopes in EDM. The aim of present study is to investigate the effect of input parameters like current, voltage and pulse-on-time on the Al-SiC (reinforced with 10% wt. of SiC). The output parameters for the process are MRR, TWR and surface roughness. It is found that the selection of input parameters plays an important role in the performance of the EDM.
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