快速成型中有效保留模型特征的自适应分层方法

郑华林; 王浩宇

doi:doi:10.5768/jao201738.0502003

应用光学, 2017, 38 (5): 758, 网络出版: 2017-10-12

快速成型中有效保留模型特征的自适应分层方法

Adaptive slicing algorithm to keep model characteristics for rapid prototyping

论文大纲

郑华林 ^*王浩宇

作者单位

西南石油大学机电工程学院，四川成都 610500

快速成型自适应分层模型特征 STL文件 rapid prototyping adaptive slicing model characteristics STL files

摘要

目前，虽然各种自适应分层方法层出不穷，但针对模型特征偏移和丢失的自适应分层方法还相对较少。针对此点，提出一种以体积误差为基础的自适应分层方法。首先，在成型方向上将单个切片层对三角面片的切割分为未跨越、跨越到相邻、跨越到不相邻三角面片3种情况，并建立了数学模型。分析了模型特征的保留特性，并结合3种情况依照体积误差公式给出了具体的算法流程。最后，为验证方法的有效性，对一零件应用3种不同方法进行分层，得到相应的模拟成型件，并与CAD原件进行对比。结果表明，体积自适应算法较其余2种方法与CAD模型轮廓最为接近，在采样点处的偏离距离分别为0.09 mm和0.10 mm，形状精度最高。

Abstract

Adaptive slicing algorithms have been emerged endlessly at present; however, a few of them have good performance in the aspect of model characteristics reservation and deviations reduction. In order to solve this problem, an adaptive slicing algorithm based on volumetric error was proposed. First, the mathematic models were established for 3 different slicing situations which divided into not cross, across to the adjacent and across to the nonadjacent triangle on the prototyping direction. Then, the reservation performance of model characteristics was analyzed and a specific algorithm flow combined the 3 slicing situations and volumetric error formula was given out. Finally, 3 different slicing methods were applied on a component to confirm the validity of volumetric method. Furthermore, the corresponding virtual components were got and compared with the CAD original model. It is concluded that,comparing to the other 2 methods,the volumetric method most fits the CAD contour line and has the most form accuracy with the deviation distances of 0.09 mm and 0.10 mm at the sampling points.

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郑华林, 王浩宇. 快速成型中有效保留模型特征的自适应分层方法[J]. 应用光学, 2017, 38(5): 758. Zheng Hualin, Wang Haoyu. Adaptive slicing algorithm to keep model characteristics for rapid prototyping[J]. Journal of Applied Optics, 2017, 38(5): 758.

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