Prediction of flank wear and surface roughness by recurrent neural network in turning process
Tool wear and surface roughness plays a significant role for proper planning and control of machining parameters to maintain product quality in order to achieve sustainable manufacturing. The machining process is complex, thus it is very difficult to develop a comprehensive model. This study propose...
| Main Authors: | W. K., Lee, Abdullah, M. D., P., Ong, Abdullah, H.Z., Teo, Teo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2947/ http://eprints.uthm.edu.my/2947/1/J12665_65a3565473a52ed466edf8f0f501594b.pdf |
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