APPLIED LASER, Volume. 44, Issue 7, 172(2024)

Scanning Path Planning of Variable Spot Based on Partition Combination Method in Stereolithography

Guo Xiaofeng1, Guan Yingzhao1, Cui Lujun1, Qiao Shujie2, and Gu Minghui1
Author Affiliations
  • 1School of Mechanical and Electronic, Zhongyuan University of Technology, Zhengzhou 450007 Henan, China
  • 2School of Intelligent Engineering, Zhengzhou College of Finance and Economics, Zhengzhou 450044, Henan, China
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    In the domain of stereolithography (SLA), laser path planning algorithms are pivotal for optimizing the printing process. Traditional methods, which rely on small or simple variable laser spots, often struggle with balancing printing efficiency and quality, particularly when dealing with models that feature long-narrow or thin-walled sections. This paper introduces a novel path planning algorithm that employs a variable spot size, based on the partition-combination concept. The algorithm consists of following steps: For each layer slice, two sizes of laser spots are used to complete pre-scanning process firstly. Then, the filling region is divided into multiple subregions with different spot types. According to the adjacency relationship, the subregions of the same type are merged into larger ones to ensure the scanning continuity. Finally, the merged subregions are filled and generate scanning paths using variable spot. Experimental results indicate that the proposed algorithm enhances the printing efficiency for models A and B by 19.5% and 21.2%, respectively, over single small spot scanning methods, while maintaining comparable formation quality. Furthermore, when compared to simple variable spot scanning methods, the structural strength of models A and B improves by 14.3% and 14.9%, respectively, with only a minimal reduction in efficiency.

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    Guo Xiaofeng, Guan Yingzhao, Cui Lujun, Qiao Shujie, Gu Minghui. Scanning Path Planning of Variable Spot Based on Partition Combination Method in Stereolithography[J]. APPLIED LASER, 2024, 44(7): 172

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    Paper Information

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    Received: Dec. 4, 2022

    Accepted: Jan. 17, 2025

    Published Online: Jan. 17, 2025

    The Author Email:

    DOI:10.14128/j.cnki.al.20244407.172

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