Prediction of Tool Life when End Milling of Ti6Al4V Alloy Using Hybrid Learning System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-014-0975-0.pdf
Reference21 articles.
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2. Zain, A.M.; Haron, H.; Sharif, S.: Prediction of surface roughness in the end milling machining using Artificial Neural Network. Expert Syst. Appl. 37(2), 1755–1768 (2010). doi: 10.1016/j.eswa.2009.07.033
3. Zain, A.M.; Haron, H.; Sharif, S.: Application of regression and ANN techniques for modeling of the surface roughness in end milling machining process. In: Modelling & simulation, 2009. AMS ’09. Third Asia International Conference on, 25–29 May 2009. pp. 188–193 (2009)
4. Soleymani Yazdi, M.R.; Seyed Bagheri, G.; Tahmasebi, M.: Finite volume analysis and neural network modeling of wear during hot forging of a steel splined Hub. Arab. J. Sci. Eng. 37(3), 821–829 (2012). doi: 10.1007/s13369-012-0210-9
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