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Digitization and Intangible Assets in Manufacturing Industries Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Artificial Neural Network-Supported Selection of Materials in Ecodesign

Authors : Izabela Rojek, Ewa Dostatni

Published in: Advances in Manufacturing II

Publisher: Springer International Publishing

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Abstract

At the current rate of development in the industry, protecting the global environment is a priority. One of the ways to prevent environmental degradation is the manufacturing of recyclable products which can be disassembled and their materials and components processed for reuse. Recyclability of products can be taken into account as early as at the design stage. Appropriate selection of materials, connections and disassembly methods can facilitate and simplify recycling. This paper looks at an original method of material selection at the design stage, which takes into consideration recyclability of materials. An expert system based on artificial neural networks is presented. Analyses of input data for material selection have been conducted, the training file and neural network models have been developed, and the models have been assessed. Research has proven that artificial neural networks are suitable for supporting the selection of materials in ecodesign.

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previous chapter LiDAR Based System for Tracking Loader Crane Operator
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Metadata
Title
Artificial Neural Network-Supported Selection of Materials in Ecodesign
Authors
Izabela Rojek
Ewa Dostatni
Copyright Year
2019
Book
Advances in Manufacturing II

Print ISBN: 978-3-030-18714-9

Electronic ISBN: 978-3-030-18715-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-18715-6_35

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