NC machining verification algorithm based on the STL model

被引:0
作者
Ying Miao
Xiaowen Song
Jun Wang
Zhonghua Lu
机构
[1] Wuxi Institute of Technology,Mechanical Institute of Technology
[2] Wuxi Institute of Technology,Jiangsu Intelligent Production Line Technology and Equipment Engineering Research Center
[3] Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic System, College of Mechanical Engineering
来源
The International Journal of Advanced Manufacturing Technology | 2020年 / 110卷
关键词
NC machining verification; STL model; Sampling step; Signed distance; Background grid;
D O I
暂无
中图分类号
学科分类号
摘要
An algorithm to assess the deviation of a machined workpiece model for a nominal part of the stereolithography (STL) model-based numerically controlled (NC) machining verification is presented, which is inspired by several algorithms used for evaluating the difference between two triangular meshes of similar shape, and some improvements are made. First, each triangle of the machined workpiece model is sampled under a user-defined sampling step δ. Then, the signed distance between each sample and the nominal part is computed to obtain the maximal error, minimal error, and mean error between the two STL models. Finally, a background grid is constructed to quickly search for the triangle closest to the sampling point. The experimental results demonstrate that the accuracy can be improved by sampling all the triangles, including those too small to be sampled under the current sampling step δ. The efficiency can be increased by applying a background grid, and the undercut and overcut areas can be easily detected by coloring the machined workpiece model according to the signed distance associated with each sample.
引用
收藏
页码:1153 / 1161
页数:8
相关论文
共 46 条
[41]   Adaptive Layering Algorithm for 3D Printing with Stereolithography Model Feature Details Retained [J].
Yi Y. ;
Li Y. ;
Liu B. ;
Yuan Y. ;
Li Y. ;
Zhang X. ;
Xie R. ;
Li Z. .
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2023, 57 (08) :105-114
[42]   FUZZY FACILITY SITE SELECTION MODEL BASED ON SIGNED DISTANCE METHOD [J].
Lee, Huey-Ming ;
Lin, Lily .
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (06) :1505-1514
[43]   An Internal Model Control Based Design Method for Single Input Fuzzy PID Controllers [J].
Var, Arda ;
Kumbasar, Tufan ;
Yesil, Engin .
2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
[44]   Research on 3D-Model Reconstruction and Coordinate-Picking Technology Based on CsGL [J].
Jiang Xu ;
Chen Shizhi ;
Liang Xu ;
Liu Caihui .
PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, 2016, 43 :643-649
[45]   Fuzzy mixture inventory model with variable lead-time based on probabilistic fuzzy set and triangular fuzzy number [J].
Chang, HC ;
Yao, JS ;
Ouyang, LY .
MATHEMATICAL AND COMPUTER MODELLING, 2004, 39 (2-3) :287-304
[46]   A multi-objective wholesaler-retailers inventory-distribution model with controllable lead-time based on probabilistic fuzzy set and triangular fuzzy number [J].
Rong, M. ;
Mahapatra, N. K. ;
Maiti, M. .
APPLIED MATHEMATICAL MODELLING, 2008, 32 (12) :2670-2685