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Enhancing Machinery Design by Using Artificial Intelligence

  • Juan Pablo Fiesco,
  • Miguel Angel Mateo-Casali,
  • Beatriz Andres,
  • Raul Poler

摘要

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.