Finite Element Analysis of Electromagnetic Forming Process and Optimization of Process Parameters Using RSM

Nilesh Satonkar, Gopalan Venkatachalam () and Shenbaga Velu Pitchumani
Additional contact information
Nilesh Satonkar: School of Mechanical Engineering, Vellore Institute of Technology, Chennai 600127, India
Gopalan Venkatachalam: Centre for Innovation and Product Development, Vellore Institute of Technology (VIT), Chennai 600127, India
Shenbaga Velu Pitchumani: School of Mechanical Engineering, Vellore Institute of Technology, Chennai 600127, India

Mathematics, 2024, vol. 12, issue 11, 1-14

Abstract: Aluminium can benefit from the high-speed forming technique known as electromagnetic forming (EMF). EMF is increasingly used in automotive applications as a result of this capability. This technology depends on Lorentz force (Magnetic force) in the practical forming application which relies on different process parameters like forming a coil. A finite element model for the EMF process is built and studied in this work using the finite element analysis software ANSYS 2022 R1. The affecting process parameters are investigated using the Design of Experiments (DOE) approach. Response Surface Methodology (RSM) of the DOE approach is used by taking process parameters such as coil size, gap, and current density into account. The number of experiments is reduced by using Central Composite Design (CCD), an RSM model. To determine the optimal level of parameters, a magnetic force optimization study is carried out. The parameters of the EMF process (e.g., magnetic force) are investigated through a developed 2D finite element model and validated with available literature.

Keywords: Lorentz force; numerical simulation; electromagnetic forming; finite element method; design of experiments (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/11/1622/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/11/1622/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:11:p:1622-:d:1399340

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().