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Numerical analysis of multi-scale mechanical theory of densified powder compaction

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Abstract

Multi-scale mechanical theory of powder compacting is the foundation for improving the quality of the product made by powder metallurgy. Aimed at powder compacting process, a 2D numerical model of the single-direction granular compacting system is established by the discrete element method. Using this DEM numerical model, the stress–strain responses, directional distributions of velocity vector and distributions of force chains in the compacting stage are studied. Research results show that powder granules successively go through the phase transformation processes of flow state, quasi-static and jamming state in the compacting process. Clearly, it is noted that velocity direction distribution of powder granule is closely related to the granule flow state, and dilatancy behavior of powder granule is a main reason for influencing the velocity direction distribution of powder granules under the quasi-static. The contact normal force, contact tangential force and contact force all comply with a power law forms, and the strength of force chains between powder granules increases with increased inter-granule friction coefficient.

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Acknowledgements

The authors wish to thank the financial support from the National Natural Science Foundation of China under Grant No. 51605150 and Grant No. 11472096.

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Authors and Affiliations

  1. Department of Mechanical and Electrical Engineering, Henan Institute of Technology, **nxiang, 453003, China

    Fan**g Meng

  2. Institute of Tribology, Hefei University of Technology, Hefei, 230009, Anhui, China

    Kun Liu

  3. School of Mechanical Engineering, Hubei University of Arts and Science, **angyang, 441053, Hubei, China

    Tao Qin

Authors
  1. Fan**g Meng
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  2. Kun Liu
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  3. Tao Qin
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Correspondence to Tao Qin.

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Technical Editor: Paulo de Tarso Rocha de Mendonça.

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Meng, F., Liu, K. & Qin, T. Numerical analysis of multi-scale mechanical theory of densified powder compaction. J Braz. Soc. Mech. Sci. Eng. 40, 430 (2018). https://doi.org/10.1007/s40430-018-1337-8

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  • DOI: https://doi.org/10.1007/s40430-018-1337-8

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