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Effective prediction of residual stress and distortion of artificial knee joints by selective laser melting

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Abstract

Selective laser melting (SLM) is an enabling additive manufacturing technology to fabricate complex parts such as metallic orthopedic implants. The rapid heating melting and cooling thermal cycle during SLM often induce high residual stress which leads to part distortion or even cracks. To predict residual stress with accuracy and efficiency, this work has developed an innovative modeling approach by incorporating the scanning strategy. The results have shown that residual stress can be predicted with improved accuracy using the modeling approach with scanning strategy accounted in the simulations.

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The data used or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This work was supported by the Key R&D Plan of the Ministry of Science and Technology (#2018YFB1105900), Shandong Province Key R&D Project (#2018GGX103017), and Zibo City and SDUT Integration Project (#2018ZBXC154).

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Authors and Affiliations

  1. Institute for Advanced Manufacturing, Shandong University of Technology, Zibo, 255000, China

    Haoqing Li, Ran Zong, Xuepeng Ren & Xiaoying Fang

  2. School of Mechanical Engineering, Shandong University of Technology, Zibo, 255000, China

    Xiaoying Fang

Authors
  1. Haoqing Li
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  2. Ran Zong
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  4. Xiaoying Fang
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Contributions

Xiaoying Fang: conceptualization, funding acquisition, methodology, data analysis, writing — review and editing, supervision; Haoqing Li: software, data curation, data analysis, investigation, validation, writing — original draft, writing — review and editing; Ran Zong: conceptualization, methodology, software, validation; Xuepeng Ren: software, validation, data curation, investigation.

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Correspondence to Xiaoying Fang.

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Li, H., Zong, R., Ren, X. et al. Effective prediction of residual stress and distortion of artificial knee joints by selective laser melting. Int J Adv Manuf Technol 123, 591–601 (2022). https://doi.org/10.1007/s00170-022-10106-5

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  • DOI: https://doi.org/10.1007/s00170-022-10106-5

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