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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Chen, Jau-Liang Chang, Hsu-Yang |
| Copyright Year | 2002 |
| Abstract | In this paper, we are focusing on the FAB forming technology for fine pitch wire bonding. The parameters that affect the FAB formation include: 1) tail length; 2) spark gap; 3) Electric flame-off (EFO) voltage, current, time; 4) relative position between electrode plate and tail; 5) wire material; and 6) type of capillary. Except the last two items, all the other parameters can be quantified for analysis. By using Taguchi method it was found that EFO time and EFO current are the most important parameters that affect the formation free-air ball. The error-back-propagation neural network was then used to predict suitable EFO time and current setting. The main objective in this research is to find a suitable rule for parameters setting in order to control the FAB ball size as required. The result can be used in the future for optimal parameter setting and prediction of FAB formation. |
| Sponsorship | Manufacturing Engineering Division |
| Starting Page | 499 |
| Ending Page | 504 |
| Page Count | 6 |
| File Format | |
| ISBN | 079183641X |
| DOI | 10.1115/IMECE2002-33720 |
| Volume Number | Manufacturing |
| Conference Proceedings | ASME 2002 International Mechanical Engineering Congress and Exposition |
| Language | English |
| Publisher Date | 2002-11-17 |
| Publisher Place | New Orleans, Louisiana, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Neural network Free air ball (fab) Electrical flame-off (efo) Taguchi method Electrodes Errors Flames Wire bonding Artificial neural networks Taguchi methods Wire |
| Content Type | Text |
| Resource Type | Article |
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