Advances in Manufacturing ›› 2023, Vol. 11 ›› Issue (3): 428-443.doi: 10.1007/s40436-023-00436-2

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An iterative blending integrating grinding force model considering grain size and dislocation density evolution

Zi-Shan Ding1, Yun-Hui Zhao1, Miao-Xian Guo1, Wei-Cheng Guo1, Chong-Jun Wu2, Steven Y. Liang3   

  1. 1 School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, People's Republic of China;
    2 College of Mechanical Engineering, Donghua University, Shanghai 201620, People's Republic of China;
    3 George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta 30332, USA
  • Received:2022-08-05 Revised:2022-09-18 Online:2023-09-09 Published:2023-09-09
  • Contact: Miao-Xian Guo,E-mail:guomx@usst.edu.cn E-mail:guomx@usst.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (Grant No. 52275453).

Abstract: The dynamic force load in grinding process is considered as a crucial factor affecting the quality of parts, and a better understanding of the mechanism of force generation is conducive to revealing the evolution of material microstructure more precisely. In this study, an iterative blending integrating grinding force model that comprehensively considers the impact of grain size and dislocation density evolution of the material is proposed. According to the grinding kinematics, the interaction of grit-workpiece is divided into rubbing, plowing, and chip formation stages in each grinding zone. On this basis, the evolution of material microstructure in the current chip formation stage will affect the rubbing force in the next grinding arc through flow stresses, which in turn will influence the total grinding force. Therefore, the flow stress models in rubbing and chip formation stages are firstly established, and then the dislocation density prediction model is established experimentally based on the characteristics of grain size. The effects of the evolution of grain size and dislocation density on the grinding forces during the grinding process are studied by means of iterative cycles. The results indicate that the implementation of an iterative blending scheme is instrumental in obtaining a higher accurate prediction of the grinding force and a deeper insight of the influence mechanisms of materials microstructure on grinding process.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-023-00436-2

Key words: Grinding force, Grain size, Dislocation density, Iterative loop