High-efficiency computation for electromagnetic forming process: An explicit-implicit GPU approach.

Area of Science:

• Computational physics
• Materials processing
• Numerical simulation

Background:

• Electromagnetic forming (EMF) simulations face computational inefficiency challenges.
• A significant gap exists in coupling electromagnetic fields with mechanical responses, hindering parallel processing.
• High-performance computing is crucial for accurate and efficient EMF process simulation.

Purpose of the Study:

• To develop a high-efficiency parallel coupling method for electromagnetic forming simulations.
• To address the computational cost associated with explicit-implicit coupling in EMF.
• To enhance the speed and accuracy of EMF process simulations using graphics processing units (GPUs).

Main Methods:

• A graphics processing unit (GPU)-based explicit-implicit coupling method is proposed.
• Five parallel algorithms were developed for electromagnetic-mechanical coupling, including vector-vector, matrix-matrix, matrix-vector, vector assembly, and matrix-free assembly parallel preconditioned conjugate gradient algorithms.
• Specialized data structures and parallel strategies were implemented for high-efficiency GPU parallel computing.

Main Results:

• The proposed GPU-based method demonstrates high-efficiency parallel acceleration performance.
• The explicit-implicit GPU method was validated against experimental results, confirming its accuracy.
• Several simulation examples illustrate the effectiveness of the developed program for electromagnetic forming processes.

Conclusions:

• The developed GPU-based explicit-implicit coupling method effectively reduces computational costs in electromagnetic forming simulations.
• The method achieves accurate and efficient parallel acceleration, overcoming previous limitations in coupling electromagnetic fields and mechanical behavior.
• This approach offers a promising solution for high-performance simulation of complex electromagnetic forming processes.