Using artificial intelligence to develop the product design process through digital modeling and simulation .

Mokhles Elkurdi, Omar Benabdalaziz; Ashraf Ewis Hagag, Eman; Hany Abd Elmohsen Elabd, Mariam

doi:10.21608/mjaf.2023.233248.3173

Using artificial intelligence to develop the product design process through digital modeling and simulation .

Document Type : Original Article

Authors

¹ Faculty of Applied Arts Helwan University Industrial Design Department

² Faculty of Applied Arts, Helwan University, Industrial Design Department

10.21608/mjaf.2023.233248.3173

Abstract

Abstract:

Product design is a thriving field that is currently undergoing many development and update processes, especially in the face of competition and an unstable work environment, with the aim of achieving more efficient design processes that keep up with progress and the speed of production processes and advanced technologies.

This research paper aims to outline how to improve the product development process by using artificial intelligence (AI) technologies, specifically digital modeling and simulation as a development tool. It presents a vision of the impact of AI technologies, including decision management, biometric measurements, machine learning, robotic process automation, and deep learning, on the stages of product design processes and their effect on the inputs and outputs of this process. It also discusses the impact of AI on modeling and simulation, which are integral parts of planning and control in future design and production processes.

The paper suggests transforming manufacturing processes from industrial applications such as CAD, CAM, and CAPP to digital simulation by integrating AI applications, virtual reality, digital twins, virtual manufacturing, and smart manufacturing, among other applications.

Predictive data from AI implies fewer tool failure cases and reduced processing time through the widespread use of machine learning (ML) in manufacturing. This helps develop elements and products at a lower cost in terms of labor, time, and effort, while improving product quality. Integrated assembly operations with machine learning assist in creating what is known as smart manufacturing, which reshapes the entire product life cycle, including design, manufacturing, and services.

Furthermore, virtual manufacturing and digital twins provide a highly robust modeling and simulation environment, allowing for the simulation of manufacturing and assembly of any product before actual production. Additionally, virtual reality enables many users to immerse themselves in and interact with the virtual prototype. The integration of these applications leads to improved and integrated systems, enhancing the quality and performance of the final products.

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