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Mechanistic force modeling and machinability evaluation on MR-compatible materials

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Abstract

Magnetic resonance imaging (MRI)-guided surgical robots are becoming a hotspot owing to the good quality of MR image and stability of robot. For the MR-compatible robot, machinability influences assembly accuracy and kinematic accuracy directly. At the same time, the cutting force plays a vital role in evaluating machinability and machining process. This paper presents the machinability evaluation on five kinds of MR-compatible materials and an improved mechanistic force model. The model takes shearing and edge forces of flank and bottom edge combined with tool runout into consideration. Experimental results show that the prediction error is within 9 %. The effects that chip shape imposes on the machining stability and surface roughness are analyzed and then involved in the machinability evaluation. Digraph and matrix method are applied to evaluate the material machinability based on cutting force, roughness, and the chip shape. Relative importance between the three components is analyzed and taken into the evaluation. At last, polyformaldehyde is proved to have the best machinability.

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Authors and Affiliations

  1. School of mechanical engineering, Tianjin University, 300072, Tianjin, China

    Shan Jiang, Zhaowei Ren & Zhengxing Wu

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  1. Shan Jiang
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  2. Zhaowei Ren
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  3. Zhengxing Wu
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Correspondence to Shan Jiang.

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Jiang, S., Ren, Z. & Wu, Z. Mechanistic force modeling and machinability evaluation on MR-compatible materials. Int J Adv Manuf Technol 74, 151–161 (2014). https://doi.org/10.1007/s00170-014-5980-7

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  • DOI: https://doi.org/10.1007/s00170-014-5980-7

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