Prediction of Tool Shape in Electrical Discharge Machining of EN31 Steel Using Machine Learning Techniques

Prediction of Tool Shape in Electrical Discharge Machining of EN31 Steel Using Machine Learning Techniques

In the electrical discharge machining (EDM) process, especially during the machining of hardened steels, changes in tool shape have been identified as one of the major problems. To understand the aforesaid dilemma, an initiative was undertaken through this experimental study. To assess the distortio...

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Auteurs principaux: Arminder Singh Walia, Vineet Srivastava, Prashant S Rana, Nalin Somani, Nitin Kumar Gupta, Gurminder Singh, Danil Yurievich Pimenov, Tadeusz Mikolajczyk, Navneet Khanna
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
electric discharge machining (EDM)
out-of-roundness
tool shape
decision tree
random forest
generalized linear model
Mining engineering. Metallurgy
TN1-997
Accès en ligne:https://doaj.org/article/f6a2482ddea745439233f7a06ed7985a
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https://doaj.org/article/f6a2482ddea745439233f7a06ed7985a

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