Prediction of surface roughness in electrochemical process of stainless steel 301 by response surface methodology
DOI:
https://doi.org/10.31663/utjes.14.1.561Keywords:
Response Surface Techniques, ECM, Surface Roughness, Taguchi methodAbstract
Electrochemical Machining (ECM) is an unorthodox technique for the removal of metals, which draws upon principles obtained from the field of electrochemistry. The technique relies on three essential components: an electrolyte, a workpiece, and a cathode tool. When an electric current flows, metal ions dissolve, leading to the elimination of material. (ECM) has been extensively utilized in several industrial sectors, notably in the production of components utilized in medical, aerospace, automotive, and general maintenance applications. The surface texture of the workpiece produced by electrochemical machining is influenced by a wide range of characteristics. The present study employs a research response surface technique to investigate the impact of key parameters, including current, electrolyte intensity, and gap, on the surface roughness of stainless steel 301 as a workpiece. The test utilized Minitab22 and the L27, which were created using the Taguchi orthogonal array. Each experiment utilizes distinct input values, and the outcomes are examined using analysis of variance (ANOVA). The optimal processing configurations and performance parameters are provided, with the conclusive testing outcomes and prediction model. The findings indicated that the predictive model exhibited an R2 coefficient of determination of 92.6%. This coefficient quantifies the capacity of the input variables to accurately forecast the output variables. The current of 80% was the primary factor in establishing the least surface roughness. The concentration of the electrolyte emerged as the subsequent crucial factor in setting the minimum surface roughness threshold of 15%.
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