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Predicting and Verifying Forces by Using Different Cutters and Spaces

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Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

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Abstract

It is notoriously known there are lots of factors influence cutter efficiency and tool life for boring operations. The key problem is how much each influenced and where is the best balance point. This paper uses the orthogonal test method to simulate and verify the influence by the two most important cutting parameters, like cutting speed, cutting penetration (which is the same as cutting depth as in the mechanical machine). First, we used the optimized model and designed a new test mechanism. In the simulation part, we use Rock Failure Process Analysis simulates the rock fragments and the changes of stress field. With these new numerical algorithms, we can simulate the mass and cutting forces in the boring, and we finally find each balance point in the real boring in different cutting parameters. And we also updated a new liner cutting test experimental mechanism, which can simulate the real boring operations in the lab when we set different cutting parameters. We use the simulation and test method to verify our predicting result. We show that the best disc cutter shape is 10 mm flat cutter ring and the best cutting space in our project is 76 mm for 17 inch cutter ring in our cutting test. However, since we understand the complex of different factors we can bound the balance point to those values in certain boring condition.

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Acknowledgments

This work was supported by grant No. 2010CB736000 from the national high technology research and development program of 973 Plan, the project name is Key research of tunnel boring machine and large grinding equipment. And thanks RFPA company support the software in simulation.

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Correspondence to Zhaoqian Wang .

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Wang, Z., Wang, W.S., Wang, J., Liu, C. (2014). Predicting and Verifying Forces by Using Different Cutters and Spaces. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_17

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

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