Working Paper Article Version 1 This version is not peer-reviewed

Multi-Objective Optimization of Plastics Thermoforming

Version 1 : Received: 31 May 2021 / Approved: 1 June 2021 / Online: 1 June 2021 (09:41:57 CEST)

A peer-reviewed article of this Preprint also exists.

Gaspar-Cunha, A.; Costa, P.; Galuppo, W.C.; Nóbrega, J.M.; Duarte, F.; Costa, L. Multi-Objective Optimization of Plastics Thermoforming. Mathematics 2021, 9, 1760. Gaspar-Cunha, A.; Costa, P.; Galuppo, W.C.; Nóbrega, J.M.; Duarte, F.; Costa, L. Multi-Objective Optimization of Plastics Thermoforming. Mathematics 2021, 9, 1760.

Journal reference: Mathematics 2021, 9, 1760
DOI: 10.3390/math9151760

Abstract

The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, the various steps of the process were considered individually and the optimization strategy was applied to the determination of the final part thickness distribution with the aim of demonstrating the validity of the methodology proposed. The preliminary results obtained considering three different theoretical initial sheet shapes indicates clearly that the methodology proposed is valid, as it provides solutions with physical meaning and with a great potential to be applied in real practice.

Keywords

plastics thermoforming; sheet thickness distribution; evolutionary algorithms; multi-objective optimization

Subject

MATERIALS SCIENCE, Biomaterials

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