A Data Mining Approach to the Control of Curl for Polyimide Film Manufacturing
碩士 === 國立交通大學 === 工業工程與管理系所 === 96 === Curl is an unfavorable quality attribute in polyimide film (PI) production. In practice, it is hard to reduce the curl issues for PI films because the production process includes a few hundreds of process parameters. This research combined two data mining algor...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/89320333855769873394 |
| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 96 === Curl is an unfavorable quality attribute in polyimide film (PI) production. In practice, it is hard to reduce the curl issues for PI films because the production process includes a few hundreds of process parameters. This research combined two data mining algorithms, 1R and C4.5, for identifying the critical process parameters for reducing the curl issues. Three critical process parameters as well as their appropriate ranges of values were identified by the proposed approach. An empirical experiment reveals that the process yield for reducing the PI curl issues could be improved from 43.36% to 85%.
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