Prediction and optimization of surface quality and material removal rate in wire-EDM cutting of tungsten–copper alloy (W70Cu30)

Prediction and optimization of surface quality and material removal rate in wire-EDM cutting of tungsten–copper alloy (W70Cu30)

Tungsten-copper alloy (W70Cu30) is widely used in industrial applications due to its high thermal conductivity, melting point, and wear resistance. This study investigates its machinability using wire electrical discharge machining (EDM). Process parameters, including current, servo voltage, wire fe...

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Bibliographic Details
Main Authors: Abdullah Eaysin, Muhammad Ali Zinnah, Md. Nayem, Hosney Ara Begum, Md.Injamamul Haque Protyai, Salahuddin Ashrafi, Adib Bin Rashid
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Results in Surfaces and Interfaces
Subjects:
Tungsten copper alloy (W70Cu30)
Wire EDM
Material removal rate (MRR)
Surface roughness
Support vector regression (SVR)
Gradient boosted regression trees (GBRT)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666845924002290
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