Adaptive Layering Algorithm for 3D Printing with Stereolithography Model Feature Details Retained

被引:1
|
作者
Yi Y. [1 ]
Li Y. [1 ]
Liu B. [1 ]
Yuan Y. [1 ]
Li Y. [1 ]
Zhang X. [1 ]
Xie R. [2 ]
Li Z. [1 ]
机构
[1] School of Automation and Information Engineering, Xi'an University of Technology, Xi'an
[2] School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an
来源
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2023年 / 57卷 / 08期
关键词
3D printing; adaptive layering; model feature; STL model; triangular mesh;
D O I
10.7652/xjtuxb202308011
中图分类号
学科分类号
摘要
An improved adaptive layering algorithm with STL model feature details retained is proposed for problems of the traditional adaptive layering algorithm for 3D printing, such as complicated calculation, inability to eliminate the influence of the step effect on the model, failure to retain model features, and easy loss of model features. The improved algorithm first determines whether the current layer contains significant feature edges. It then adaptively determines the layer thickness by the angle between the two adjacent triangular mesh vectors for the case with such edges, by the angle between the triangular mesh vector and the forming direction for the case without such edges, and by the change in the number of closed curves in the adjacent tangent planes for the case where the model has feature offsets. Finally, the minimum value of the adaptive layer thickness in the above three cases is used as the basis for the current layering. The results show that, for the adopted dinosaur model, the proposed algorithm not only retains the detailed features of the model, but also significantly improves the modeling quality; the proposed algorithm has an accuracy 28.6% and 31.7%, respectively, higher than that of the vector adaptive layering algorithm based on the triangular slice method and the adaptive layering algorithm that only retains the model features. The algorithm reduces the influence of step effect and model feature loss and offset on the printing quality, improving the model printing accuracy to a certain extent. © 2023 Xi'an Jiaotong University. All rights reserved.
引用
收藏
页码:105 / 114
页数:9
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