Online monitoring and measurements of tool wear for precision turning of stainless steel parts
Online monitoring and measurements of tool wear were carried out using cutting forces for precision turning of stainless steel parts. The best combination of features was selected from 14 features extracted from force signals by using a Sequential Forward Search algorithm. Back-propagation neural ne...
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Main Authors: | Liu, Tien-I., Song, Shin-Da, Liu, George, Wu, Zhang |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/100122 http://hdl.handle.net/10220/13564 |
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Institution: | Nanyang Technological University |
Language: | English |
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