Determination of peel strength based on composition of adhesives for the footwear industry using genetic algorithm

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

R. M. Paiva (Autor) Outra; Carlos Alberto Conceição António (Autor) FEUP; L. M. Silva (Autor) Outra

Ata de Conferência Internacional

Título: ENGOPT 2014 - Engineering Optimization IV

Páginas: 385-390

Proceedings of ENGOPT 2014 – 4th International Conference on Engineering Optimization, CRC Press/Balkema, 2015 Taylor & Francis Group, London, UK,

Lisbon, Portugal, 8-11 September 2014

Indexação

ISI Proceedings

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências Tecnológicas

FOS: Ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-00G-P2P

DOI: 10.1201/b17488-68

Abstract (EN): In order to contribute to the research and development of adhesives for the footwear industry, this paper aims to develop a model capable to predict and optimise the peel strength from the composition of adhesives. The proposed approach is based on three stages: experimental planning of measurements, analysis of uncertainty propagation and optimisation procedure. Considering the experimental results obtained forTaguchi design points as input/output patterns, an Artificial Neural Network is developed based on supervised evolutionary learning. After, using the developed ANN a Monte Carlo simulation procedure is implemented and the variability of the structural response of adhesive joint based on global sensitivity analysis is studied. An approach based on the optimal design of adhesive composition to achieve the target of maximum peel strength is proposed. © 2015 Taylor & Francis Group, London.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6