Neural network based computer-aided process design system for wire bonding quality improvement

Jian Gao*, Chuanwei Li, Ketian Li, Zexiang Li, Xin Chen

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

1 Citation (Scopus)

Abstract

The relationship between the process parameters and bonding quality is very complicated due to the features of non-linear and coupling relation. It's therefore hard to express their relationship in an exact mathematic model and very difficult to obtain an reasonable parameters setting to get high bonding quality. In this paper, a wire bonding process model based on BP(Back Propagation) neural network is proposed, and based on this model a computer-aided process design system for bonding quality improvement is developed through VC++6.0. Based on the training data from design of experiments (DoE), the BP network is built. The system is validated by test data and the testing result shows that the predicted error is samll and reasonable and the system developed can be used for parameter optimization and quality improvement.

Original languageEnglish
Title of host publicationManufacturing Science and Engineering I
Pages2496-2499
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2009 International Conference on Manufacturing Science and Engineering, ICMSE 2009 - Zhuhai, China
Duration: 26 Dec 200928 Dec 2009

Publication series

NameAdvanced Materials Research
Volume97-101
ISSN (Print)1022-6680

Conference

Conference2009 International Conference on Manufacturing Science and Engineering, ICMSE 2009
Country/TerritoryChina
CityZhuhai
Period26/12/0928/12/09

Keywords

  • BP neural network
  • Bonding quality
  • Computer-aided process design
  • Process parameters
  • Wire bonding

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