复杂曲面的网格化自适应测点规划

叶建华; 高诚辉; 曾寿金

doi:10.3788/OPE.20192707.1632

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复杂曲面的网格化自适应测点规划

信息科学 | 更新时间：2020-08-13

- 复杂曲面的网格化自适应测点规划
- Mesh-based adaptive planning for complex surface accurate measurement
- 光学精密工程 2019年27卷第7期页码：1632-1639
- 作者机构：
  
  1.福建工程学院机械与汽车工程学院，福建福州 350118
  2.福州大学机械工程及自动化学院，福建福州 350116
  3.福建工程学院先进制造生产力促进中心，福建福州 350118
- 作者简介：
  
  [ "叶建华(1980-)，男，福建宁德人，博士，副教授，2003年、2006年于华侨大学分别获得学士、硕士学位，2018年于福州大学获得博士学位，主要从事制造过程自动化及信息化的研究。E-mail:yeuser@fjut.edu.cn" ]
  [ "高诚辉(1953-)，男，福建福清人，教授，博士生导师，1982年、1985年于福州大学分别获得学士、硕士学位，1990年于机械部机械科学研究院获得博士学位，主要从事数字化设计、摩擦学和表面工程的研究。E-mail：gch@fzu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金资助项目(51775113);福建省科技计划引导性项目资助(2018H0005);福建省自然基金资助项目(2016J01723);石材产业加工技术与装备福建省2011协同创新中心合作资助项目(2017XT002);福建工程学院科研启动基金资助项目(GY-Z19014)
- DOI：10.3788/OPE.20192707.1632
  中图分类号： TP391.7
- 收稿日期：2018-10-17，
  
  录用日期：2018-12-27，
  
  纸质出版日期：2019-07-15
- 稿件说明：
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叶建华, 高诚辉, 曾寿金. 复杂曲面的网格化自适应测点规划[J]. 光学精密工程, 2019,27(7):1632-1639.

Jian-hua YE, Cheng-hui GAO, Shou-jin ZENG. Mesh-based adaptive planning for complex surface accurate measurement[J]. Optics and precision engineering, 2019, 27(7): 1632-1639.
叶建华, 高诚辉, 曾寿金. 复杂曲面的网格化自适应测点规划[J]. 光学精密工程, 2019,27(7):1632-1639. DOI： 10.3788/OPE.20192707.1632.

Jian-hua YE, Cheng-hui GAO, Shou-jin ZENG. Mesh-based adaptive planning for complex surface accurate measurement[J]. Optics and precision engineering, 2019, 27(7): 1632-1639. DOI： 10.3788/OPE.20192707.1632.

摘要

检测点的布局优化是复杂曲面类零件加工误差检测的关键。针对由多张不同特征曲面复合而成的零件模型整体的自适应测点规划困难问题，开展网格化自适应测点规划研究。将复杂曲面模型转化成细粒度的三角网格模型；进而采用三角网格边简化方法进行自适应测点规划。利用局部多项式拟合和局部曲率估算技术，实现网格顶点的自适应精简；通过顶点替代法，避免网格化离散误差的影响；采用子集选择技术

提升简化效率。实验结果表明：该方法不会引入网格化离散误差，对网格化粒度不敏感；在同样测点的情况下，最大误差较均匀采样法减小32.8%，较随机Hammersely序列法减小16.9%，均值误差则分别减小28.7%，18.5%。通过网格化能避免多张曲面间的协调处理困难问题；规划的测点能较好地反映曲面的加工质量。

Abstract

Layout optimization of inspection points is key for the inspection of geometric errors in models with complex surfaces. To deal with difficulties in the adaptive planning of whole inspection points of model components that were characterized by multiple surface characteristics

mesh-based adaptive planning of inspection points was studied. A complex surface model was transformed into a dense triangular mesh model

and the triangular mesh simplification method was used for adaptive planning of inspection points. The local polynomial fitting and local curvature estimation technology were used for adaptive reduction of mesh vertexes. The vertex substitution method was used to avoid any influence from the meshing discretization error. The subset selection technology was used to improve reduction efficiency. The experimental results show that this method should not introduce the meshing discretization error of the surface

and that it was not sensitive to meshing granularity. The maximal error of the mesh-based method described here should reduce by 32.8% under the same detection points in comparison to that of the uniform sampling method

and should reduce by 16.9% in comparison to that of the random Hammersely sequence method. The mean error of the mesh-based method should reduce by 28.7% and 18.5% in comparison to that of the uniform sampling method and the random Hammersely sequence method

respectively. Meshing can avoid coordination difficulties among multiple surfaces

and the planned detection points can objectively reflect the processing quality of the complex surface.

关键词

Keywords

references

高健, 黄沛霖, 文章, 等.复杂曲面零件加工精度原位检测系统的残余误差补偿[J].机械工程学报, 2016, 52(15): 139-146.

GAO J, HUANG P L, WEN ZH, et al .. Residual error compensation of in situ inspection system for precision machining of complex components[J]. Journal of Mechanical Engineering , 2016, 52(15): 139-146. (in Chinese)

MORONI G, PETRÒ S. Geometric Inspection Planning as a Key Element in Industry 4.0[M]Lecture Notes in Mechanical Engineering. Cham: Springer International Publishing, 2018: 293-310.

KAM C L.A geometric decomposition methods for part programming of CMMS[C]. Proceeding of Auto Fact Europe Conference , 1983: 13-15.

LU W L, PAGANI L, ZHOU L P, et al .. Uncertainty-guided intelligent sampling strategy for high-efficiency surface measurement via free-knot B-spline regression modelling[J]. Precision Engineering , 2019, 56: 38-52.

OBEIDAT S M, RAMAN S. An intelligent sampling method for inspecting free-form surfaces[J]. The International Journal of Advanced Manufacturing Technology , 2009, 40(11/12): 1125-1136.

吴石, 李荣义, 刘献礼, 等.基于自适应采样的曲面加工误差在机测量方法[J].仪器仪表学报, 2016, 37(1): 83-90.

WU SH, LI R Y, LIU X L, et al .. On-machine measurement method of processing error based on the mould surface adaptive sampling[J]. Chinese Journal of Scientific Instrument , 2016, 37(1): 83-90. (in Chinese)

赖金涛, 傅建中, 沈洪垚, 等.基于NURBS曲面敏感点的曲面检测测点优化[J].浙江大学学报:工学版, 2015, 49(7): 1201-1207.

LAI J T, FU J ZH, SHEN H Y, et al .. Measuring points optimization in machining error inspection based on reconstruction of NURBS control points driven by sensitive points[J]. Journal of Zhejiang University: Engineering Science , 2015, 49(7): 1201-1207. (in Chinese)

温秀兰, 王东霞, 朱晓春, 等.基于坐标测量机的自由曲面检测采样策略[J].光学精密工程, 2014, 22(10): 2725-2732.

WEN X L, WANG D X, ZHU X CH, et al .. Sampling strategy for free-form surface inspection by using coordinate measuring machines[J]. Opt. Precision Eng ., 2014, 22(10): 2725-2732. (in Chinese)

ZAHMATI J, AMIRABADI H, MEHRAD V. A hybrid measurement sampling method for accurate inspection of geometric errors on freeform surfaces[J]. Measurement , 2018, 122: 155-167.

段黎明, 杨尚朋, 张霞, 等.基于遗传算法的三角网格折叠简化[J].光学精密工程, 2018, 26(6): 1489-1496.

DUAN L M, YANG SH P, ZHANG X, et al .. Collapsing simplification of triangular mesh based on genetic algorithm[J] . Opt. Precision Eng ., 2018, 26(6): 1489-1496. (in Chinese)

段黎明, 邵辉, 李中明, 等.高效率的三角网格模型保特征简化方法[J].光学精密工程, 2017, 25(2): 460-468.

DUAN L M, SHAO H, LI ZH M, et al .. Simplification method for feature preserving of efficient triangular mesh model[J]. Opt. Precision Eng ., 2017, 25(2): 460-468. (in Chinese)

SHENG X, HIRSCH B E. Triangulation of trimmed surfaces in parametric space[J]. Computer-Aided Design , 1992, 24(8): 437-444.

周明全, 袁洁, 耿国华, 等.基于轮廓线特征点的交互式文物拼接[J].光学精密工程, 2017, 25(6): 1597-1606.

ZHOU M Q, YUAN J, GENG G H, et al .. Interactive reassembly of fractured fragments based on feature points of contour line[J]. Opt. Precision Eng ., 2017, 25(6): 1597-1606. (in Chinese)

计忠平, 刘利刚, 王国瑾.基于局部多项式拟合的网格简化算法[J].浙江大学学报:工学版, 2006, 40(12): 2083-2087.

JI ZH P, LIU L G, WANG G J. Mesh simplification based on local polynomial fitting[J]. Journal of Zhejiang Universityl: Engineering Science , 2006, 40(12): 2083-2087. (in Chinese)

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