Suhas S. Aralikatti1, K. N. Ravikumar1, Hemantha Kumar1,*, H. Shivananda Nayaka1, V. Sugumaran2
Structural Durability & Health Monitoring, Vol.14, No.2, pp. 127-145, 2020, DOI:10.32604/sdhm.2020.07595
- 23 June 2020
Abstract The state of cutting tool determines the quality of surface produced on
the machined parts. A faulty tool produces poor surface, inaccurate geometry and
non-economic production. Thus, it is necessary to monitor tool condition for a
machining process to have superior quality and economic production. In the present study, fault classification of single point cutting tool for hard turning has been
carried out by employing machine learning technique. Cutting force and vibration
signals were acquired to monitor tool condition during machining. A set of four
tooling conditions namely healthy, worn flank, broken insert and extended… More >
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