APPLIED LASER, Volume. 44, Issue 7, 27(2024)

Research on SLM Process Parameters of 316L Stainless Steel Structure for Grinding

Zhan Youji1, Chen Jiasheng1, Zheng Tianqing1, Xu Yongchao1,2, and Zhang Mengmeng1
Author Affiliations
  • 1Fujian Key Laboratory of Intelligent Machining Technology and Equipment (Fujian University of Technology), Fuzhou 350118, Fujian, China
  • 2School of Materials Science and Engineering, Fujian University of Technology, Fuzhou 350118, Fujian, China
  • show less

    In order to obtain the process parameters of selected laser melting (SLM) 316L stainless steel suitable for grinding, an orthogonal experiment with three factors and four levels was designed. On this basis, the experimental data of the performance index density, microhardness and surface roughness after grinding were obtained, and the main and secondary effects of SLM process parameters on the performance index were obtained by range analysis method. Based on grey correlation theory, the experimental data were simplified by multiple indexes to obtain the quantified value-correlation degree, which can evaluate the comprehensive performance of the sample. The regression equation of process parameters and correlation degree was obtained by fitting regression method. The fitting degree of the equation reached 91.32%, indicating that the equation has high reliability. Using Minitab to optimize the regression equation, the optimal process parameters suitable for grinding were obtained as follows: laser power 270 W, scanning speed 707 mm/s, scanning spacing 0.14 mm, The density was 98.78%, the microhardness was 265.46 HV, and the surface roughness was 0.66 μm.

    Tools

    Get Citation

    Copy Citation Text

    Zhan Youji, Chen Jiasheng, Zheng Tianqing, Xu Yongchao, Zhang Mengmeng. Research on SLM Process Parameters of 316L Stainless Steel Structure for Grinding[J]. APPLIED LASER, 2024, 44(7): 27

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 29, 2022

    Accepted: Jan. 17, 2025

    Published Online: Jan. 17, 2025

    The Author Email:

    DOI:10.14128/j.cnki.al.20244407.027

    Topics