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<p>Digital light processing (DLP) 3D printing technology has been widely applied in various fields due to its advantages of manufacturing components with complex geometric shapes and endowing them with superior mechanical properties. However, the influence mechanisms of process parameters on the dimensional accuracy and mechanical strength of printed parts have not been thoroughly studied. This study focuses on three process parameters: single layer thickness, exposure time, and power density. The response surface methodology (RSM) is employed to explore their effects on the dimensional accuracy and tensile strength of DLP 3D-printed dental models and optimize these parameters. The results show that as the parameters described above parameters increase, both the dimensional accuracy and tensile strength first rise and then fall. By constructing and solving the regression equations of the response models for dimensional accuracy and tensile strength, the optimal process parameters are obtained: for the best dimensional accuracy, the parameters are a single layer thickness of 0.1&#xa0;mm, an exposure time of 2.6&#xa0;s, and a power density of 48 mW/cm<sup>2</sup>; for the best tensile strength, the parameters are a single layer thickness of 0.08&#xa0;mm, an exposure time of 3.1&#xa0;s, and a power density of 55 mW/cm<sup>2</sup>. The predicted values of the response surface model are in good agreement with the experimental values. The parameter combinations determined in this study provide theoretical basis and practical guidance for the application of 3D printing technology in fields such as dental mold manufacturing.</p>

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Optimization Study of Digital Light Processing 3D Printing Process Parameters by Surface Response Approach

  • 期刊论文

  • 发表日期：

    2025年6月25日

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  • Ting Jiang,
  • Yibo Zhao,
  • Yueqiang Yu,
  • Sheng Gao,
  • Baobao Guo,
  • Xinao Wu,
  • Chenxiang Yuan,
  • Yi Xu,
  • Mengran Yu,
  • Bo Yan,
  • Bakary S. Doumbia

摘要

Digital light processing (DLP) 3D printing technology has been widely applied in various fields due to its advantages of manufacturing components with complex geometric shapes and endowing them with superior mechanical properties. However, the influence mechanisms of process parameters on the dimensional accuracy and mechanical strength of printed parts have not been thoroughly studied. This study focuses on three process parameters: single layer thickness, exposure time, and power density. The response surface methodology (RSM) is employed to explore their effects on the dimensional accuracy and tensile strength of DLP 3D-printed dental models and optimize these parameters. The results show that as the parameters described above parameters increase, both the dimensional accuracy and tensile strength first rise and then fall. By constructing and solving the regression equations of the response models for dimensional accuracy and tensile strength, the optimal process parameters are obtained: for the best dimensional accuracy, the parameters are a single layer thickness of 0.1 mm, an exposure time of 2.6 s, and a power density of 48 mW/cm2; for the best tensile strength, the parameters are a single layer thickness of 0.08 mm, an exposure time of 3.1 s, and a power density of 55 mW/cm2. The predicted values of the response surface model are in good agreement with the experimental values. The parameter combinations determined in this study provide theoretical basis and practical guidance for the application of 3D printing technology in fields such as dental mold manufacturing.