Abstract
This paper examines the significance of Industry 4.0 and artificial intelligence (AI) in the manufacturing sector, particularly by emphasising the role of design phase in the machinery life cycle. The design phase of a machine is a complex task that requires an advanced engineering and physics knowledge level. Nevertheless in the technology era, computer-aided design tools facilitate the design task. The area of data execution and simulation of machine behaviour in different scenarios is being researched and exploited by technologies, such as the Internet of Things (IoT) or AI. With this paper, three AI-based tools are proposed and conceptualised to support AI-assisted optimisation to generate design proposals to manufacture industrial equipment, structural components, mechanisms and control components.
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Acknowledgements
The research that led to these findings received funding from two sources. The first source of funding was from the Horizon Europe Framework Programme (HORIZON) with Grant Agreement No. 101057294 “AI Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability, and Resilience (AIDEAS)”. The second source of funding was from the Regional Department of Innovation, Universities, Science, and Digital Society of the Generalitat Valenciana “Programa Investigo” (ref. INVEST/2022/330), which the European Union supported - NextGenerationEU under the Plan de Recuperación, Transformación y Resiliencia.
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Fiesco, J.P., Mateo-Casali, M.A., Andres, B., Poler, R. (2024). Enhancing Machinery Design by Using Artificial Intelligence. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_59
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