A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging
In the semiconductor manufacturing industry, fluid dispensing is a very common process used for die-bonding and microchip encapsulation in electronics packaging. Understanding the process behaviour is important as it aids in determining appropriate settings of the process parameters for a high-yield...
| Main Authors: | , , |
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| Format: | Journal Article |
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Elsevier
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/12671 |
| _version_ | 1848748141665320960 |
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| author | Kwong, C. Chan, Kit Yan Tsim, Y. |
| author_facet | Kwong, C. Chan, Kit Yan Tsim, Y. |
| author_sort | Kwong, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In the semiconductor manufacturing industry, fluid dispensing is a very common process used for die-bonding and microchip encapsulation in electronics packaging. Understanding the process behaviour is important as it aids in determining appropriate settings of the process parameters for a high-yield, low cost and robust operation. In this paper, a genetic algorithm (GA) based knowledge discovery system is proposed to discover knowledge about the fluid dispensing process. This knowledge is expressed in the form of rules derived from experimental data sets. As a result, appropriate parameters can be set which will be more effective with respect to the required quality of encapsulation. Rules generated by the GA based knowledge discovery system have been validated using a computational system for process optimization of fluid dispensing. The results indicate that the rules generated are useful and promising in aiding optimization of the fluid dispensing process in terms of better optimization results and shorter computational time. |
| first_indexed | 2025-11-14T07:00:20Z |
| format | Journal Article |
| id | curtin-20.500.11937-12671 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:00:20Z |
| publishDate | 2009 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-126712017-09-13T16:07:07Z A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging Kwong, C. Chan, Kit Yan Tsim, Y. genetic algorithm fluid dispensing process knowledge discovery system electronics packaging In the semiconductor manufacturing industry, fluid dispensing is a very common process used for die-bonding and microchip encapsulation in electronics packaging. Understanding the process behaviour is important as it aids in determining appropriate settings of the process parameters for a high-yield, low cost and robust operation. In this paper, a genetic algorithm (GA) based knowledge discovery system is proposed to discover knowledge about the fluid dispensing process. This knowledge is expressed in the form of rules derived from experimental data sets. As a result, appropriate parameters can be set which will be more effective with respect to the required quality of encapsulation. Rules generated by the GA based knowledge discovery system have been validated using a computational system for process optimization of fluid dispensing. The results indicate that the rules generated are useful and promising in aiding optimization of the fluid dispensing process in terms of better optimization results and shorter computational time. 2009 Journal Article http://hdl.handle.net/20.500.11937/12671 10.1016/j.eswa.2008.02.041 Elsevier fulltext |
| spellingShingle | genetic algorithm fluid dispensing process knowledge discovery system electronics packaging Kwong, C. Chan, Kit Yan Tsim, Y. A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| title | A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| title_full | A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| title_fullStr | A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| title_full_unstemmed | A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| title_short | A genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| title_sort | genetic algorithm based knowledge discovery system for the design of fluid dispensing processes for electronic packaging |
| topic | genetic algorithm fluid dispensing process knowledge discovery system electronics packaging |
| url | http://hdl.handle.net/20.500.11937/12671 |