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Open access Sep 2026

Surrogate assisted artificial neural network and NSGA II framework for continuous multi-objective optimization of sheet metal blanking

Sheet metal blanking optimization is traditionally performed using design-of-experiments (DOE) techniques that evaluate only discrete parameter combinations, limiting the identification of optimal operating conditions within the continuous design space. This study proposes a surrogate-assisted Artificial Neural Network...

S. Bhoir, Munna Verma · 0 citations

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