Multi-objective parametric optimization of driver-based electromagnetic sheet metal forming of SS304 using AA6061-T6 driver.

Khan, Zarak; Khan, Mushtaq; Younas, Muhammad; Danish, Abdul Samad; Khan, Ashfaq; Djavanroodi, Faramarz

Abstract

This study uses statistical techniques to optimize the electromagnetic forming process for driver-based sheet metal forming with a flat coil. AA6061T6 sheet was used as a driver to form SS304 sheets. The optimization of maximum elongation, die fitting, maximum Lorentz force, and peak current was carried out. The results were verified through simulation which were in close agreement with the experimental results. The most influential factor was the voltage (C.R of 72.97%), followed by coil gap and SS304 sheet thickness (7.99 and 6.07%, respectively).

Citation

KHAN, Z., KHAN, M., YOUNAS, M., DANISH, A.S., KHAN, A. and DJAVANROODI, F. 2023. Multi-objective parametric optimization of driver-based electromagnetic sheet metal forming of SS304 using AA6061-T6 driver. Mechanics of advanced materials and structures [online], Latest Articles. Available from: https://doi.org/10.1080/15376494.2023.2235344

• Journal Article Type: Article
• Acceptance Date: Jul 6, 2023
• Online Publication Date: Jul 30, 2023
• Deposit Date: Sep 23, 2023
• Publicly Available Date: Jul 31, 2024
• Journal: Mechanics of advanced materials and structures
• Print ISSN: 1537-6494
• Electronic ISSN: 1537-6532
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1080/15376494.2023.2235344
• Keywords: Electromagnetic forming; Lorentz force; Multi-objective optimization; Driver-based; Voltage
• Public URL: https://rgu-repository.worktribe.com/output/2048752