Neuroevolutionary multiobjective optimization of injection stretch blow molding process in the blowing phase

• Autor(a) principal: Pinto, Renê S.
• Data de Publicação: 2021
• Outros Autores: Silva, Hugo M., Duarte, Fernando M., Nunes, João P., Gaspar-Cunha, A.
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/1822/68634
• topic: Multi-objective optimization; Neuroevolutionary; Plastics blow-moulding; Ciências Naturais::Ciências da Computação e da Informação

Injection stretch blow molding is a very important thermoplastic processing technique producing hollow containers with mechanical performance. One of the main challenges in optimizing this process consists in finding the best thickness profile for each part in order to achieve the desired mechanical properties with less material use. In a previous study, a new methodology based on a neuroevolutionary multiobjective optimization approach was proposed to enhance the entire process, which considers that the process is optimized by phases, starting by the end. In that initial study only the final phase of the process was addressed, where the best thickness profile for an industrial bottle was found in order to satisfy the required mechanical properties with less material use. In the present study, the focus is the second stage of the optimization methodology, concerning the blowing phase of injection blow molding process. The optimal results obtained in the first phase are used as the optimal thickness profile for the bottle with the goal to find the best preform thickness profile which produces the desired bottle. The same procedures are used and the results show that the methodology was successfully applied to its second phase.