Modeling & Analysis of Performance Characteristics of Wire EDM of SS304
M.Geetha1, Bezawada Sreenivasulu2, G. Harinath Gowd3
1M. Geetha, PG Student, Department of ME, Madanapalle Institute of Technology & Science, Madanapalle (Andhra Pradesh), India.
2Mr. Bezawada Sreenivasulu, Assistant Professor, Department of ME, Madanapalle Institute of Technology & Science, Madanapalle (Andhra Pradesh), India.
3Dr. G. Harinath Gowd, Professor, Department of ME, Madanapalle Institute of Technology & Science, Madanapalle (Andhra Pradesh), India.
Manuscript received on 10 September 2013 | Revised Manuscript received on 19 September 2013 | Manuscript Published on 30 September 2013 | PP: 122-125 | Volume-3 Issue-4, September 2013 | Retrieval Number: D1218093413/13©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wire electrical discharge machining (WEDM) allowed success in the production of newer materials, especially for the aerospace and medical industries. Using WEDM technology, complicated cuts can be made through difficult-to-machine electrically conductive components. The high degree of the obtainable accuracy and the fine surface quality make WEDM valuable. WEDM is so complex in nature that the selection of appropriate input parameters is not possible by the trial-and-error method. The selection of machining parameters in any machining process significantly affects production rate, product quality and production cost of a finished component. WEDM process involves a large number of variables that affect its performance. However, based on the literature survey and the pilot experiments, five process variables, viz., pulse-on time, pulse-off time, wire tension, and water pressure are taken into consideration for the research. In the present work Response Surface Methodology (RSM) is used to develop the quantitative relationships between the input and the output responses for the experimental data collected as per the DOE. Also the effects of the input process parameters over the MRR and Ra were plotted and studied. Later the developed models can be utilized for optimization.
Keywords: WEDM, DOE, RSM, Optimization.
Scope of the Article: Predictive Analysis