Data driven surrogate model-based optimization of the process parameters in electric discharge machining of D2 steel using Cu-SiC composite tool for the machined surface roughness and the tool wear

Data driven surrogate model-based optimization of the process parameters in electric discharge machining of D2 steel using Cu-SiC composite tool for the machined surface roughness and the tool wear

Electrical discharge machining (EDM) is mainly utilized for the die manufacturing and also used to machine the hard materials. Pure Copper, Copper based alloys, brass, graphite, steel are the conventional electrode materials for EDM process. While machining with the conventional electrode materials...

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Bibliographic Details
Main Authors: Nalin Somani, Arminder Singh Walia, Nitin Kumar Gupta, Jyoti Prakash Panda, Anshuman Das, Sudhansu Ranjan Das
Format: Article
Language:English
Published: Consejo Superior de Investigaciones Científicas 2023-11-01
Series:Revista de Metalurgia
Subjects:
Data driven modeling
Electric discharge machining
Firefly algorithm
Machine learning
Surface roughness
Tool wear
Online Access:https://revistademetalurgia.revistas.csic.es/index.php/revistademetalurgia/article/view/1566

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https://revistademetalurgia.revistas.csic.es/index.php/revistademetalurgia/article/view/1566

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