The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method

碩士 === 國立交通大學 === 機械工程系 === 90 === In this thesis, the parallelization is applied to DSMC method by utilizing chain partitioner. The computation is carried out on a PC cluster system consisting of nine processors. The preliminary results are compared with the Hsiao’s single-processor re...

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Main Authors: Zhong-Yuan Zang, 臧忠元
Other Authors: Chiun-Hsun Chen
Format: Others
Language:en_US
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/73951074901214840920
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spelling ndltd-TW-090NCTU04890392015-10-13T10:06:24Z http://ndltd.ncl.edu.tw/handle/73951074901214840920 The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method 應用平行化之DSMC法模擬LPCVD腔體之熱流場 Zhong-Yuan Zang 臧忠元 碩士 國立交通大學 機械工程系 90 In this thesis, the parallelization is applied to DSMC method by utilizing chain partitioner. The computation is carried out on a PC cluster system consisting of nine processors. The preliminary results are compared with the Hsiao’s single-processor results [5], to demonstrate the advantage of parallelization. The computational domain is decomposed according to the same number of simulated particles in each processor. When a parallel program is executed on a distributed memory system, the speedup may not be proportional linearly to the number of processor. The computing load in each processor becomes lighter by increasing the processor number, whereas the communication load becomes heavier at the same time. Therefore the efficiency becomes worse with an increment of processor number. The parametric studies are based on the variations of particle number, computing domain size and time step, respectively. The better speedup and efficiency can be achieved when the particle number and computational domain increase. The performance does not depend on time step in present case because the variation of particle number is not severe. Chiun-Hsun Chen 陳俊勳 2002 學位論文 ; thesis 66 en_US
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description 碩士 === 國立交通大學 === 機械工程系 === 90 === In this thesis, the parallelization is applied to DSMC method by utilizing chain partitioner. The computation is carried out on a PC cluster system consisting of nine processors. The preliminary results are compared with the Hsiao’s single-processor results [5], to demonstrate the advantage of parallelization. The computational domain is decomposed according to the same number of simulated particles in each processor. When a parallel program is executed on a distributed memory system, the speedup may not be proportional linearly to the number of processor. The computing load in each processor becomes lighter by increasing the processor number, whereas the communication load becomes heavier at the same time. Therefore the efficiency becomes worse with an increment of processor number. The parametric studies are based on the variations of particle number, computing domain size and time step, respectively. The better speedup and efficiency can be achieved when the particle number and computational domain increase. The performance does not depend on time step in present case because the variation of particle number is not severe.
author2 Chiun-Hsun Chen
author_facet Chiun-Hsun Chen
Zhong-Yuan Zang
臧忠元
author Zhong-Yuan Zang
臧忠元
spellingShingle Zhong-Yuan Zang
臧忠元
The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
author_sort Zhong-Yuan Zang
title The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
title_short The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
title_full The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
title_fullStr The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
title_full_unstemmed The Simulation of Thermal Flow Field in LPCVD Chamber Using Parallel DSMC Method
title_sort simulation of thermal flow field in lpcvd chamber using parallel dsmc method
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/73951074901214840920
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