Technic Study on Polycrystalline Cubic Boron Nitride Tools Dry Cutting Harden GCr15 Based on the Finite Element Analysis and the Orthogonal Experiment

  • Yunhai Jia
  • Shaoning Lv
  • Lixin Zhu
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Polycrystalline cubic boron nitride cutting tools in hard dry precision cutting bearing steel has got more and more widely used, on account of their higher hardness, high wear resistance and high temperature red hardness. It is set as an example that the GCr15 rod is dry hard turned with welded PcBN cutting tools. In the present study, the temperature distribution cloud and equivalent stress distribution nephogram of PcBN tool rake surface were obtained by using the finite element simulation analysis method under different processing parameters. Then reasonable processing parameters of dry hard-turning were obtained by comparison and analysis. Based on orthogonal experiment design, the appropriate parameters such as cutting speed, cutting depth and feed rate were given in taking surface roughness of the workpiece and the tool flank wear as the evaluation indexes. The result of the turning test was as same as that of the finite element analysis, which confirms the validity of the finite element analysis. The experiments and finite element analysis results showed that the equivalent low stress, workpiece ideal surface roughness and the smaller flank wear of cutting tool could be obtained in which the cutting speed was at 200 m/min, the cut depth was 0.20 mm and the feed rate was 0.15 mm/rev. This research provides an important experimental basis for a reasonable formulation of the process of dry turning ball bearing steel.


Polycrystalline cubic Boron Nitride (PcBN) cutting tools Dry cutting Finite element analysis (FEA) Orthogonal experiment design Technic study 



This research is supported by Beijing Natural Science Foundation the Grant No. 3162013. The authors also would like to thank the anonymous reviewers whose comments helped to improve the structure and readability of the paper.


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Beijing Institute of Electro-MachiningBeijingChina
  2. 2.Beijing Key Laboratory of Electrical Discharge Machining TechnologyBeijingChina
  3. 3.China University of Mining and Technology (Beijing)BeijingChina

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