Tool wear sensing plays an important role in the optimisation of tool exchange and tip geometry compensation during automated machining in flexible manufacturing systems. The focus of this work is to develop a reliable method to predict flank wear during a turning process. A neural network scheme i
β¦ LIBER β¦
Application of neural networks for predicting program faults
β Scribed by Taghi M. Khoshgoftaar; Abhijit S. Pandya; David L. Lanning
- Publisher
- Springer
- Year
- 1995
- Tongue
- English
- Weight
- 744 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1022-7091
No coin nor oath required. For personal study only.
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