Prediction of machining outputs with Taguchi and ANN in ECM of 13-8 PH Mo steel

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Authors: Mehmet Albaşkara
Cited by: 0
References: 5

Abstract

PH 13-8 stainless steel, a material that is difficult to machine with conventional methods due to its high hardness, strength and excellent corrosion resistance, is machined with ECM. MRR and SR output parameters were investigated by changing the voltage, feed rate and gap input parameters. It was found that the effective parameters for MRR were feed rate and gap, and for SR, feed rate and voltage. For each parameter, the experimental output results were compared with the predicted output results obtained by Taguchi and ANN. It has been observed that there is a close relationship between experimental and predictive results.

Fields of Study & Subjects

Advanced Machining and Optimization Techniques Advanced machining processes and optimization Advanced Surface Polishing Techniques

Publication details

Journal / source
Procedia CIRP
Volume
138
Pages
1025–1030
Publication date
1 January 2026
Language
EN