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Parallel DSMC Gasflow Simulation of an In-Line Coater for Reactive Sputtering

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Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4192))

Abstract

There is an increasing demand for high precision coatings on large areas via in-line reactive sputtering, which requires advanced process control techniques. Thus, an improved theoretical understanding of the reactive sputtering process kinetics is mandatory for further technical improvement. We present a detailed Direct Simulation Monte Carlo (DSMC) gas flow model of an in-line sputtering coater for large area architectural glazing. With this model, the pressure fluctuations caused by a moving substrate are calculated in comparison with the experiment. The model reveals a significant phase shift in the pressure fluctuations between the areas above the center and the edges of the substrate. This is a geometric effect and is e. g. independent of the substrate travelling direction. Consequently, a long sputtering source will observe pressure fluctuations at its center and edges, which are out of phase.

For a heuristic model of the reactive sputtering process, we show that in certain cases a two-dimensional model treatment is sufficient for predicting the film thickness distribution on the moving substrate. In other cases, a strong phase shift between averaged pressure fluctuations and reactive sputtering process response is observed indicating that a threedimensional model treatment is required for a realistic simulation of the in-line deposition process.

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© 2006 Springer-Verlag Berlin Heidelberg

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Pflug, A., Siemers, M., Szyszka, B. (2006). Parallel DSMC Gasflow Simulation of an In-Line Coater for Reactive Sputtering. In: Mohr, B., Träff, J.L., Worringen, J., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2006. Lecture Notes in Computer Science, vol 4192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846802_53

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  • DOI: https://doi.org/10.1007/11846802_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39110-4

  • Online ISBN: 978-3-540-39112-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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