Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/99011
Author(s): Paiva, RM
Carlos Alberto Conceição António
Silva, LM
Title: Determination of peel strength based on composition of adhesives for the footwear industry using genetic algorithm
Issue Date: 2014
Abstract: 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.
Subject: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://repositorio-aberto.up.pt/handle/10216/99011
Source: ENGOPT 2014 - Engineering Optimization IV
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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