Prediction and Optimization of Tool Life in Micromilling AISI D2 (∼62 HRC) Hardened Steel

Author:

Saedon J.B.,Soo S.L.,Aspinwall D.K.,Barnacle A.,Saad N.H.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference14 articles.

1. Development of hybrid predictive models and optimization techniques for machining operations;Jawahir;Journal of Materials Processing Technology,2007

2. F. Klocke, F. Quito, K. Arntz, and A. Souza, A Study of the influence of cutting parameters on micro milling of steel with cubic boron nitride (CBN) Tools. in Proceedings of SPIE - The International Society for Optical Engineering. 2009.

3. D.C. Montgomery, Design and Analysis of Experiments. John Wiley & Sons, Inc: New York, 2009. 7th Edition: p. 417-480.

4. R. Quiza, L. Figueira, and J.P. Davim, Comparing statistical models and artificial networks on predicting the tool wear in hard machining D2 AISI steel. International Journal of Advanced Manufacturing Technology, 2008. 37: p. 641-648.

5. M.K. Pradhan, and C.K. Biswas, Modeling and Analysis of process parameters on Surface Roughness in EDM of AISI D2 tool Steel by RSM Approach. International Journal of Mathematical, Physical, & Engineering Sciences, 2009. 3: p. 66-71.

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