Manufacturing and AI - Industrial Machine Data Generation and Artificial Optimisation
[EN] The AIDEAS project targets the development of AI technologies strategically designed to improve European engineering companies' sustainability, agility, and resilience throughout the lifecycle of industrial assets, i.e., in the design, manufacturing, and repair/reuse/recycling phases....
| Autores: | , , , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:dnet:riunet______::19516dfc5431de81636c0f38cec15105 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/235100 |
| Access Level: | acceso abierto |
| Palavra-chave: | Design optimization Artificial intelligence Simulation Digital twin Machine design |
| Resumo: | [EN] The AIDEAS project targets the development of AI technologies strategically designed to improve European engineering companies' sustainability, agility, and resilience throughout the lifecycle of industrial assets, i.e., in the design, manufacturing, and repair/reuse/recycling phases. In the context of the AIDEAS project, this workshop paper focuses on the early stages of the product development process to accelerate the development process with the help of AI-supported tools. The results of some of these AI solutions will also help at a later stage to decide which machine parameters need to be considered and optimised during product development to optimise the later life cycle according to the current requirements of the repair, reuse, and recycle phases. |
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