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Author

Thenarasu Mohanavelu

2 papers indexed here

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Open access Sep 2026

A Cross-Validated Reassessment of Regression and Machine-Learning Models for AISI 1045 End Milling

Machining-induced residual stress, cutting force, and temperature govern the fatigue life, dimensional stability, and surface integrity of milled components, yet predictive models for these responses are still routinely validated only in-sample, concealing overfitting on small, single-laboratory datasets. This study re...

P. Marimuthu, J. Petrů, Thenarasu Mohanavelu · 0 citations
Open access Sep 2026

Response-Specific Surrogate Selection for Particle Swarm Optimization of End-Milling Parameters in AISI 1045 Steel

Background: When a small design-of-experiments dataset is used to optimize a machining process with particle swarm optimization (PSO), the regression model chosen as the fitness function is rarely validated against more than one candidate response, checked against alternative model families, or checked for the optimiza...

P. Marimuthu, J. Petrů, Thenarasu Mohanavelu · 0 citations

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