Feedrate optimization for 2.5D milling operations

Author:

Kokotović BrankoORCID,Vorkapić Nikola

Funder

Ministry of Education, Science and Technological Development of the Republic of Serbia

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

Mechanical Engineering,Mechanics of Materials

Reference22 articles.

1. Altintas, Y., Brecher, C., Weck, M. and Witt, S.: Virtual Machine Tool, Keynote Paper of STC M, Annals of CIRP, Vol. 54, No. 2, pp.651-674, 2005.;

2. Park, H-S., Qi, B., Dang, D-V., Park, D-Y.: Development of smart machining system for optimizing feedrates to minimize machining time, Journal of Computational Design and Engineering No.5, pp. 299-304, 2018.;

3. Lee, H.U. and Cho, D.W.: An intelligent feedrate scheduling based on virtual machining, The International Journal of Advanced Manufacturing Technology, Vol. 22, No. 11, pp. 873-882, 2003.;

4. Lazoglu, I., Khavidaki, S.E.L., Mamedov, A. and Erdim, H.: Process Optimization via Feedrate Scheduling in Milling, in: Laperriere, L., Reinhart, G. (Ed.): Chapter from CIRPEDIA, Berlin Heidelberg, Springer, pp. 979-987, 2014.;

5. Yun, W.S., Ko, J.H., Cho, D.W.: Development of a Virtual Machine Tool -Part 1: Mechanistic Cutting Force Model, Machined Surface Error Model, and Feedrate Scheduling Model, International Journal of the Korean Society of Precision Engineering, Vol. 4, No.2, pp.71-76, 2003.;

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