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Force Prediction in Plunge Milling of Inconel 718

  • Conference paper
Intelligent Robotics and Applications (ICIRA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7507))

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Abstract

In manufacturing, plunge milling is one of the most effective methods and widely used for material removal in rough and semi-rough machining while machining hard material. The cutting force in milling is very difficult and complex to predict, especially in plunge milling since there are many parameters acting as the design variables in the cutting force formulation. In this paper, an empirical formula is used for reference and a new cutting force model is developed in plunge milling of Inconel 718. The coefficients in the new formula are calibrated by the plunge milling cutting test, then an experiment is designed to confirm the new model. By using the proposed model, it’s easy to predict the cutting force in plunge milling with considerable accuracy. Furthermore, the new model provides advice for the selections of machining parameters, machine tools and cutters to ensure the safety and high-quality of manufacturing process.

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhuang, K., Zhang, X., Zhang, X., Ding, H. (2012). Force Prediction in Plunge Milling of Inconel 718. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33515-0_26

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  • DOI: https://doi.org/10.1007/978-3-642-33515-0_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33514-3

  • Online ISBN: 978-3-642-33515-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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