A Model for Prediction and Optimization of Flank Wear in End Milling of AISI 316 Stainless Steel
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-9893-7_42
Reference43 articles.
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3. Palanisamy P, Rajendran I, Shanmugasundaram S (2008) Prediction of tool wear using regression and ANN models in end-milling operation. Int J Adv Manuf Technol 37:29–41
4. Chen Z, Zhang X (2005) Monitoring of tool wear using feature vector selection and linear regression. In: International conference on natural computation, pp 1–6
5. Khan A, Maity K (2019) Statistical modelling and machinability assessment of commercially pure titanium (CP-Ti) grade II: an experimental investigation. Measurement
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