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Evaluation and Optimization Method of High Speed Cutting Parameters Based on Cutting Process Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5928))

Abstract

The choice of reasonable cutting parameters is very important for the application of high speed cutting technology. Cutting parameters optimization is a contradiction optimization problem of multi-objectives including cutting efficiency, tool wear and machining quality etc. In order to simplify the complicated problem, a new dimensionless comprehensive evaluation method of cutting parameters based on cutting multi-dimension characteristics including cutting force, temperature, feed rate and cutting depth is put forward in the paper. Then multi-level weight decomposition method is applied to determine the evaluation factors. The relations between multi-objectives and cutting force and temperature are emphatically analyzed. In combination with cutting process physical FEA (finite element analysis) simulation, the effect laws of cutting parameters to cutting force and temperature is researched. Furthermore cutting parameters are evaluated and optimized through the established comprehensive evaluation method. As shown the results: The results obtained by comprehensive evaluation method are match with the results by plenty of cutting experiments. The comprehensive evaluation method is suitable for actual production application because of its simple, effective and extensive characteristics.

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© 2009 Springer-Verlag Berlin Heidelberg

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Wu, Z., Xu, D., Feng, P., Yu, D., Zhang, C. (2009). Evaluation and Optimization Method of High Speed Cutting Parameters Based on Cutting Process Simulation. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_31

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  • DOI: https://doi.org/10.1007/978-3-642-10817-4_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10816-7

  • Online ISBN: 978-3-642-10817-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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