Volume 38 Issue 7
Jul.  2021
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CHEN Yijia, CHEN Yan, YAN Chaoren, et al. Prediction of thrust force in CFRP composite drilling considering tool wear effect[J]. Acta Materiae Compositae Sinica, 2021, 38(7): 2207-2217. doi: 10.13801/j.cnki.fhclxb.20201111.003
Citation: CHEN Yijia, CHEN Yan, YAN Chaoren, et al. Prediction of thrust force in CFRP composite drilling considering tool wear effect[J]. Acta Materiae Compositae Sinica, 2021, 38(7): 2207-2217. doi: 10.13801/j.cnki.fhclxb.20201111.003

Prediction of thrust force in CFRP composite drilling considering tool wear effect

doi: 10.13801/j.cnki.fhclxb.20201111.003
  • Received Date: 2020-08-13
  • Accepted Date: 2020-10-29
  • Available Online: 2020-11-11
  • Publish Date: 2021-07-15
  • In the drilling process of carbon fiber reinforced polymer (CFRP) composite, the thrust force gradually increases with the accumulation of tool wear. Excessive thrust force can cause a series of machining defects in CFRP composite. In order to realize the finite element analysis and prediction of the thrust force changing with the accumulation of tool wear in the process of CFRP composite drilling, the simulation model of CFRP composite drilling was established. Through the secondary development of the ABAQUS simulation software, the thrust force prediction model considering the wear accumulation was imported into the simulation software by using the Python language development subroutine. The thrust force in the CFRP composite drilling was studied by using the ABAQUS software, and the prediction function of thrust force change with tool wear was realized. Then, through CFRP composite drilling experiments, the changes in thrust force with the number of drilling holes were analyzed to verify the prediction results of the model. The results show that the 3D finite element model of drilling without considering the change of wear can well predict the thrust force in the actual machining process, with the error of 9.10%. After considering the wear accumulation, the thrust force prediction model can predict the thrust force in the actual machining process, with the maximum error less than 10%.

     

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