Comparative analysis of artificial intelligence techniques for material selection applied to manufacturing in Industry 4.0
| Autor: | Ana María Camacho, David Merayo, Alvaro Rodríguez-Prieto |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Industry 4.0 Manufacturing process business.industry Computer science 02 engineering and technology Industrial and Manufacturing Engineering 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Material selection Artificial Intelligence Mathematical explanation Product (category theory) Artificial intelligence business Selection (genetic algorithm) |
| Zdroj: | Procedia Manufacturing. 41:42-49 |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2019.07.027 |
| Popis: | This paper is intended to examine the most innovative computing techniques to select the optimal material to manufacture a product in Industry 4.0. It examines how the most relevant artificial intelligence (AI) techniques can assist the manufacturing process by choosing the most convenient material for the envisaged applications according to their properties and in-service behaviour. The paper includes an overview of each pertinent technique, which includes a list of advantages and disadvantages, mathematical explanation and its application to the selection of materials for manufacturing. |
| Databáze: | OpenAIRE |
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