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A Robotic Belt Grinding Force Model to Characterize the Grinding Depth with Force Control Technology

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Intelligent Robotics and Applications (ICIRA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10984))

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Abstract

In the present paper, a new grinding force model is developed by analyzing and assessing the robotic abrasive belt grinding mechanism which is based on the fact that the chip formation during grinding process consists of three stages: ploughing, cutting and sliding. Then the grinding depth is predicted by the grinding force model to realize quantitative machining in the robotic belt grinding process. Next the grinding parameters optimization are implemented to further ensure the workpiece surface quality and profile accuracy with force control technology applied. Finally, a typical case on robotic abrasive belt grinding of test workpiece and aero-engine blade is conducted to validate the practicality and effectiveness of the grinding force model.

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Acknowledgements

The authors would like to gratefully acknowledge the financial support from the National Nature Science Foundation of China (nos. 51675394, 51375196), the National Key Research and Development Program of China (nos. 2017YFB1303400), the State Key Laboratory of Digital Manufacturing Equipment and Technology (no. DMETKF2018018), and the Fundamental Research Funds for the Central Universities (no. 2017II33GX).

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Correspondence to Sijie Yan .

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Xu, X., Yang, Y., Pan, G., Zhu, D., Yan, S. (2018). A Robotic Belt Grinding Force Model to Characterize the Grinding Depth with Force Control Technology. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-97586-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97585-6

  • Online ISBN: 978-3-319-97586-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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