International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

Volume2,April 2017,

Topic : Estimation and Comparison of Machining Performances in WEDM for HCHCr Material using MRA and GMDH

Authors:Ugrasen G || Ravindra H V, G V Naveen Prakash, R. Keshavamurthy

Abstract:Wire Electrical Discharge Machining (WEDM) is a specialized thermo electrical machining process capable of accurately machining parts with varying hardness or complex shapes. Present study outlines the estimation of machining performances in the wire electric discharge machining of HCHCr material using Multiple Regression Analysis (MRA) and Group Method of Data Handling (GMDH) technique. HCHCr material was machined using different process parameters based on Taguchi’s L27 standard orthogonal array. Parameters such as pulse-on time, pulse-off time, current and bed speed were varied. The response variables measured for the analysis are dimensional error, surface roughness and volumetric material removal rate. Machining performances have been compared using sophisticated mathematical models viz., MRA and GMDH. Different GMDH models can be obtained by varying the percentage of data in the training set and the best model can be selected from these, viz., 50%, 62.5% & 75%. The best model is selected from the said percentages of data. Three different criterion functions, viz., Root Mean Square (Regularity or RMS) criterion, Unbiased criterion and Combined criterion were considered for estimation. Estimation and comparison of machining performances were carried out using MRA and GMDH techniques. Estimates from MRA and GMDH were compared and it was observed that GMDH gives better results than MRA..

Keywords: WEDM, Machining performances, Comparison, MRA and GMDH

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DOI: 01.1617/vol4/iss4/pid25687

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Meinhard Taher Schobeiri
Texas A & M University, USA.

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ISSN(Online): 2456-1290

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERMCE
Electronic ISSN : 2456-1290
Impact Factor : 3.8
Frequency : monthly
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