AI based study on product development and process design

Ying Lei (), Sonali Vyas (), Shaurya Gupta () and Mohammad Shabaz
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Ying Lei: Lanzhou City University
Sonali Vyas: University of Petroleum and Energy Studies
Shaurya Gupta: Chandigarh University

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 31, 305-311

Abstract: Abstract With the advancement in technology the environment of modern product design has also undergone significant changes, which are mainly reflected in the following aspects: The product life cycle is shortened, the user demand tends to be personalized, and the proportion of multivariate small batch production increases To avoid the problems existing in product development and process design, an Artificial intelligence design model based on nonlinear programming is established, and then transformed into a linear programming problem while solving. Nonlinear programming helps to find the extreme of a function under a set of equality and inequality constraints and then is transformed to linear programming problem using AI. Finally, the design and implementation process of the RH alloying model are described. The results show that making full use of the rich design and cultural resources provided by contemporary information technology, designing and creating products with more human nature connotations can not only improve people’s application ability to high and new technologies, but also enrich people’s cultural and emotional life. The effectiveness of the algorithm and the superiority of the software operation are proved by an application example.

Keywords: CAD/CAM; Artificial intelligence; Alloying model; Quasi-Newton method; Production operation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01404-4

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