Optimization of Machining Parameters for AISI 316L And 317L Austenitic Stainless Steels using Eco-Cut Wire-EDM Technique
M.V.N. Srujan Manohar1, Y. Seetha Rama Rao2, Ch. Sree Ram3

1M.V.N. Srujan Manohar, Research Scholar, Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry, India.
2Dr. Y. Seetha Rama Rao, Associate Professor, Department of Mechanical Engineering, GVPCOE (A), Visakhapatnam, India.
3Ch. Sreeram, PG student, Department of Mechanical Engineering, GVPCOE (A), Visakhapatnam, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1950-1955 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B2908129219/2019©BEIESP | DOI: 10.35940/ijeat.B2908.129219
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© 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: Austentic stainless steel is one of the most suitable engineering material based on their superior resistance to corrosion and compatibility at high temperatures and high vacuum. However, the machinability of austenitic stainless steel is not very promising owing to lower thermal conductivity, higher degree of ductility and work hardenability. For meeting these challenges, unconventional machining procedures were evolved and can make any impenetrable design/profile on any work substance by acceptable controlling of various machining procedures. The main importance of this paper is to show the impact of machining parameters on Eco-cut Wire Electric Discharge Machining (WEDM) for disparate austenitic stainless steels (AISI 316L & 317L). Initially both the metals are machined on WEDM. Machining parameters like pulse on time(Pon), pulse off time(Poff), voltage(V) and wire tension(WT) are observed for both 316L and 317L stainless steel materials. A Box-Behnken Design (BBD) of response surface methodology (RSM) has been used for experimental work. The reaction of procedure is estimated by ANOVA analysis and response optimizer is used for optimum level checking. A series of trial runs were carried out on both the machined specimens for identifying better material removal rate(MRR), cutting speed(CS) and surface roughness(Ra).
Keywords: Cutting Speed(CS), Material Removal Rate(MRR), Surface Roughness(Ra), pulse on time(Pon), pulse off time(Poff), voltage(V), wire tension(WT), Response Surface Methodology(RSM) and ANOVA.