Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/99011
Author(s): | R. M. Paiva Carlos Alberto Conceição António L. M. Silva |
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. (c) 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://hdl.handle.net/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 |
Files in This Item:
File | Description | Size | Format | |
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130665.pdf Restricted Access | Artigo completo, CD | 3 MB | Adobe PDF | Request a copy from the Author(s) |
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