Modeling of Surface Roughness for MEMS

碩士 === 國立雲林科技大學 === 機械工程技術研究所 === 87 === The surface to volume ratio is commonly greater in MEMS than in comparable macro-world system. It results that the surface characteristics, such as surface roughness, play a major role in the performance of MEMS devices. Therefore, the control of...

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Main Authors: Chih-Hsing Cheng, 鄭誌興
Other Authors: Dau-Chung Wang
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/59193501172498561091
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spelling ndltd-TW-087YUNTE4880052015-10-13T11:50:27Z http://ndltd.ncl.edu.tw/handle/59193501172498561091 Modeling of Surface Roughness for MEMS 微機械系統表面粗糙度之數學模擬 Chih-Hsing Cheng 鄭誌興 碩士 國立雲林科技大學 機械工程技術研究所 87 The surface to volume ratio is commonly greater in MEMS than in comparable macro-world system. It results that the surface characteristics, such as surface roughness, play a major role in the performance of MEMS devices. Therefore, the control of the surface characteristics of MEMS devices is becoming vital and necessary. Fractal dimension is a description of the complexity of the surface texture. Large fractal dimension means more surface irregularity. It is a quantified indication of the surface roughness and can be used to evaluate the selection of appropriate fabrication parameters. In this research, the surface roughness data of aluminum specimens were measured by AFM. The basic theory of fractals was investigated. An easier "mean variation method" for the calculation of fractal dimension was developed. The surfaces of several aluminum specimens were polished by an electrochemical process. Fractal dimensions of these surfaces were calculated. The most appropriate fabrication parameters were identified. Dau-Chung Wang 汪島軍 1999 學位論文 ; thesis 49 zh-TW
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language zh-TW
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description 碩士 === 國立雲林科技大學 === 機械工程技術研究所 === 87 === The surface to volume ratio is commonly greater in MEMS than in comparable macro-world system. It results that the surface characteristics, such as surface roughness, play a major role in the performance of MEMS devices. Therefore, the control of the surface characteristics of MEMS devices is becoming vital and necessary. Fractal dimension is a description of the complexity of the surface texture. Large fractal dimension means more surface irregularity. It is a quantified indication of the surface roughness and can be used to evaluate the selection of appropriate fabrication parameters. In this research, the surface roughness data of aluminum specimens were measured by AFM. The basic theory of fractals was investigated. An easier "mean variation method" for the calculation of fractal dimension was developed. The surfaces of several aluminum specimens were polished by an electrochemical process. Fractal dimensions of these surfaces were calculated. The most appropriate fabrication parameters were identified.
author2 Dau-Chung Wang
author_facet Dau-Chung Wang
Chih-Hsing Cheng
鄭誌興
author Chih-Hsing Cheng
鄭誌興
spellingShingle Chih-Hsing Cheng
鄭誌興
Modeling of Surface Roughness for MEMS
author_sort Chih-Hsing Cheng
title Modeling of Surface Roughness for MEMS
title_short Modeling of Surface Roughness for MEMS
title_full Modeling of Surface Roughness for MEMS
title_fullStr Modeling of Surface Roughness for MEMS
title_full_unstemmed Modeling of Surface Roughness for MEMS
title_sort modeling of surface roughness for mems
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/59193501172498561091
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