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Chapter

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Title

Artificial Neural Network-Supported Selection of Materials in Ecodesign

Authors

[ 1 ] Katedra Zarządzania i Inżynierii Produkcji, Wydział Budowy Maszyn i Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2019

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • material
  • selection
  • ecodesign
  • expert system
  • artificial neural network
Abstract

EN 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.

Date of online publication

26.04.2019

Pages (from - to)

422 - 431

DOI

10.1007/978-3-030-18715-6_35

URL

https://link.springer.com/chapter/10.1007/978-3-030-18715-6_35

Book

Advances in Manufacturing II. Volume 1 - Solutions for Industry 4.0

Presented on

6th International Scientific-Technical Conference Manufacturing 2019, 19-22.05.2019, Poznan, Poland

Ministry points / chapter

20

Publication indexed in

WoS

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