Electrochemical Machining of AISI 202 using AgNO3 mixed electrolyte and its Optimization

  Sivakumar A,  M.Arularasu,  T.Sekar

Electrochemical Machining (ECM) process is one of the unconventional machining processes, widely used to machine the poor machinable materials without inducing any internal stresses on the machined surfaces. This paper attempts to explore the impacts of AgNO3 with normalities of N/10 and N/50 mixed NaNO3 electrolytes in ECM of AISI 202-Austenitic Stainless Steel. This material is highly utilized in Petroleum and Gas turbine industries. The major influencing parameters of applied voltage, tool feed rate and electrolyte discharge rate with three levels each have been chosen to study their effects on Material Removal Rate (MRR) of electrochemically machined AISI 202 work specimens. The experimental results proved that AgNO3 (N/50) solution significantly improves the performance of ECM in terms of obtaining better MRR AISI 202 due to develop the consistent current density across the Inter Electrode Gap (IEG). The mathematical models of MRR was developed and the optimum range of values of chosen influencing parameters were obtained using Multi Objective Genetic Algorithm (MOGA). The MOGA results have given the wider range of optimum values of chosen influencing parameters and select the optimum values based on the priority of customer requirements within the chosen objectives. The confirmatory experiments revel that the deviation of experimental results from the MOGA predicted results are found to be 2-3%.

Keywords- ECM, AISI 202, MRR, MOGA

Unique Identification Number - IJEDR1803084
Page Number(s) - 499-504
Pubished in - Volume 6 | Issue 3 | September 2018
DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.19302
Publisher - IJEDR (ISSN - 2321-9939)

  Sivakumar A,  M.Arularasu,  T.Sekar,   "Electrochemical Machining of AISI 202 using AgNO3 mixed electrolyte and its Optimization", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.499-504, September 2018, Available at :http://www.ijedr.org/papers/IJEDR1803084.pdf