Optimum clearance determination in blanking coarse-grained non-oriented electrical steel sheets: experiment and simulation

  • Ji He
  • Zhe Wang
  • Shuhui LiEmail author
  • Liang Dong
  • Xudong Cao
  • Weigang Zhang
Original Research


Blanking process plays a critical role in the deterioration of magnetic properties of coarse-grained non-oriented electrical steel of motors. With the decrease of grain number in the thickness direction, the deformation behavior in blanking process becomes different and complex. In this paper, the high-grade non-oriented electrical steel is selected for blanking tests within the relative blanking clearance range. The results show that there exists an optimum clearance which leads to the high-quality sheared edge for the application. Nevertheless, the exact value of optimum clearance cannot be provided by experiments. Therefore, a novel Voronoi-based FE model is established to analyze the blanking deformation behaviors of individual grains. The flow stresses of surface and internal grains are identified through the widely applied surface layer theory. The proposed FE model is an appropriate prediction tool for simulating the blanking process of non-oriented electrical steel sheets. Meanwhile, through the new proposed model, an exact optimum clearance determination method is established. The proposed methodology predicts that the optimum clearance for the investigated sheet is 13.8%t, which is further verified by the experimental data.


Coarse-grained non-oriented electrical steel Blanking Voronoi-based FE model Optimum clearance determination 



The authors gratefully acknowledge the support provided by the National Natural Science Foundation of China (Grant No. 51505284) and New Faculty Fund (SMC) of University. The authors are grateful to Baosteel Company for providing experimental materials. Thanks to other colleagues for their help in this study too.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  • Ji He
    • 1
    • 2
  • Zhe Wang
    • 1
    • 2
  • Shuhui Li
    • 1
    • 2
    Email author
  • Liang Dong
    • 1
    • 2
  • Xudong Cao
    • 3
  • Weigang Zhang
    • 4
  1. 1.State Key Laboratory of Mechanical System and VibrationShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China
  2. 2.Shanghai Key Laboratory of Digital Manufacture for Thin-walled StructuresShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China
  3. 3.School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China
  4. 4.Innovation Center for Advanced Ship and Deep-Sea Exploration, Department of Engineering MechanicsShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China

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