Improving computational efficiency in DSMC simulations

What is it about?

The present study addresses the challenge of enhancing computational efficiency without compromising accuracy in numerical simulations of vacuum gas dynamics using the direct simulation Monte Carlo (DSMC) method. A technique termed 'fixed particle per cell (FPPC)' was employed, which enforces a fixed number of simulator particles across all computational cells. The proposed technique eliminates the need for real-time adjustment of particle weights during simulation, reducing calculation time. Results demonstrate that applying the FPPC technique effectively reduces computational costs while yielding results comparable to conventional DSMC implementations. Additionally, the application of local grid refinement coupled with the FPPC technique was investigated. The results show that integrating local grid refinement with the FPPC technique enables accurate prediction of flow behaviour in regions with significant gradients.

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Photo by Hermeus on Unsplash

Photo by Hermeus on Unsplash

Why is it important?

Applying the FPPC technique effectively reduces computational costs in DSMC simulations of vacuum gas dynamics while yielding results comparable to conventional DSMC implementations.