计算机工程与应用2019，Vol.55Issue(6)：244-251,8.DOI:10.3778/j.issn.1002-8331.1712-0226
STL模型特征信息的自适应分层的研究
Research on Adaptive Layering of Feature Information of STL Model
摘要
Abstract
The slicing of the model is an important step for pre-processing of 3D printing. Aiming at current low efficiency of slicing and difficulty in effectively preserving subtle features, a new adaptive slicing is proposed in terms of STL model feature. The slicing result via a two-step optimization scheme are computed. Firstly, the feature edge of the model is extracted, and the surface with the feature edge is partitioned by the region growth algorithm. Secondly, the different strati-fication intersection algorithms are used for different surface types. Using VC++6.0 and OpenGL platform, the thicknesses of slicing layers are optimized adaptively to reduce the step effect, save the printing time and preserve the visual quality of printing results. In addition, optimized slicing direction can be achieved to obtain fine resolution of the part in terms of its actual printing direction.关键词
特征边/分割表面/台阶效应/自适应分层/成型方向Key words
feature edge/surface partition/step effect/adaptive slicing/printing direction分类
信息技术与安全科学引用本文复制引用
王军伟,陈兴,邓益民,刘洋,汪俊辉..STL模型特征信息的自适应分层的研究[J].计算机工程与应用,2019,55(6):244-251,8.基金项目
国家自然科学基金(No.71271220) （No.71271220）
中南大学中央高校基本科研业务费专项资金项目(No.2017zzts586,No.2017zzts198). （No.2017zzts586,No.2017zzts198）
