Predictive modelling and optimization of WEDM of nickel aluminium bronze alloy using optimised support vector regression and evolutionary algorithm

Subhankar Saha, Sri Srinivasa Raju Modampuri, Hrishikesh Dutta, Rammohan Mallipeddi, Dhanaraj Savary Nasan, Mridusmita Roy Choudhury · 2025

Read Predictive modelling and optimization of WEDM of nickel aluminium bronze alloy using optimised support vector regression and evolutionary algorithm by Subhankar Saha, Sri Srinivasa Raju Modampuri, Hrishikesh Dutta, Rammohan Mallipeddi, Dhanaraj Savary Nasan, Mridusmita Roy Choudhury (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12855905.txt.

Description

Subhankar Saha and co-authors report research from two thousand twenty-five on machining a nickel aluminium bronze alloy with a wire electrical discharge process. The process cuts metal with sparks, and its settings trade cutting speed against surface smoothness in complex ways. A good predictive model could help shops pick settings without endless trials.

The team built a tuned regression model that predicted both speed and roughness with very high accuracy. An evolutionary search then generated one hundred trade-off solutions that balance the two goals, beating twelve rival algorithms in ranked tests. Microscope images showed that high discharge energy left rough, cratered surfaces with thick melted layers, while low energy gave smoother cuts. Cracks appeared under all settings.

Catalog record

CREATORSubhankar Saha, Sri Srinivasa Raju Modampuri, Hrishikesh Dutta, Rammohan Mallipeddi, Dhanaraj Savary Nasan, Mridusmita Roy Choudhury
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE46 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12855905

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