Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process development.

Autor: Zubair SWH; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan., Arafat SM; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan.; Department of Mechanical Engineering, Faculty of Engineering & Technology, The University of Lahore, Lahore, 54000, Pakistan., Khan SA; Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan., Niazi SG; School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China.; Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China., Rehan M; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan., Arshad MU; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan., Hayat N; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan., Aized T; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan., Uddin GM; Department of Mechanical Engineering, University of Engineering & Technology, Lahore, 54890, Pakistan. ghulammoeenuddin@uet.edu.pk., Riaz F; College of Engineering, Abu Dhabi University, Abu Dhabi, UAE. fahid.riaz@adu.ac.ae.

Publikováno v: Scientific reports [Sci Rep] 2024 Oct 08; Vol. 14 (1), pp. 23428. Date of Electronic Publication: 2024 Oct 08.