Optimization of Argon Plasma Working Pressure through Parallel PIC Simulations for Enhancement of Material Surface Treatment
Hadi Barati, Ali Torkaman, and Mehdi Fardmanesh

TL;DR
This paper presents a parallel PIC simulation method to optimize argon plasma pressure, revealing the pressure that maximizes ion flux for improved material surface treatment.
Contribution
Developed a parallel PIC simulation approach to efficiently determine optimal argon plasma pressure for surface modification applications.
Findings
Optimal pressure for maximum ion flux is 100 mTorr at -500 V.
Parallel simulation reduces computation time for plasma modeling.
Ion flux increases with electrode potential.
Abstract
In this study, a novel method for simulating plasma dynamics using parallel programming has been developed. The equations based on Particle-in-Cell (PIC) method were utilized and adapted for this purpose. We utilized 35 processors from Sharif High Performance Computing (HPC) center and divided the plasma volume into 35 parts, with each part's PIC equation solved on a separate processor. Once the computations were completed, the results from all processors were combined to form a complete plasma volume. The simulations revealed that there is an optimal pressure for argon, at which the ion flux onto the electrode surface is maximized. Increasing the absolute value of the electrode potential also increases this flux. Therefore, for a given potential, selecting the optimal pressure is crucial for the most effective surface modification using argon plasma. In this work, for applied voltage…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPlasma Diagnostics and Applications · Plasma Applications and Diagnostics · Surface Modification and Superhydrophobicity
