Yi HU, Chao JIANG, Wei HUANG, et al. Optimal measurement area of articulated coordinate measuring machine calculated by ant colony algorithm[J]. Optics and precision engineering, 2017, 25(6): 1486-1493.
DOI:
Yi HU, Chao JIANG, Wei HUANG, et al. Optimal measurement area of articulated coordinate measuring machine calculated by ant colony algorithm[J]. Optics and precision engineering, 2017, 25(6): 1486-1493. DOI: 10.3788/OPE.20172506.1486.
Optimal measurement area of articulated coordinate measuring machine calculated by ant colony algorithm
A method to solve the optimal measurement zone was proposed to improve the measurement accuracy of the articulated coordinate measuring machine. According to the measurement model of the articulated coordinate measuring machine
the error model of the articulated coordinate measuring machine was established on the basis of angle measurement error of the circle grating encoder. 6 random numbers of the articulation rotation angle could be obtained by taking advantages of Monte Carlo theory; and the measurement space of the measuring machine could be simulated by using the numerical method. Then
the cube region which include measurement space were divided into 343 small cube regions and the ant colony algorithm was used to determine the maximum measuring error of each region caused by the error of the circle grating encoder. Finally
minimum region of the maximum measuring error was found and as the optimal measurement zone by comparison. The result of the research is shown that in terms of the researched articulated coordinate measuring machine
the scope of the maximum error for each small region is from 0.069 9 mm to 0.189 6 mm. Among them the region of the minimum value which is 0.069 9 mm is -100 mm ≤
x
≤100 mm
-100 mm≤
y
≤100 mm
400 mm≤
z
≤600 mm. The optimal measurement zone determined by proposed method is a cube region within the measurement space
which make it have the practicability and operability to conduct higher-accuracy measurement in the optimal measurement zone.
GAO G B, WANG W, LIN K, et al..Parameter identification based on modified annealing algorithm for articulated arm CMMs[J]. Opt. Precision Eng., 2009, 17(10):2499-2505.
WANG W, GAO G B, LIN K, et al.. Eccentricity parameter identification of angle sensors for articulated arm CMMs[J]. Opt. Precision Eng., 2010, 18(1):135-141.
CUI Y J, CHEN Q SH, ZHU L Q, et al.. Study on error of initial position of multi-joint coordinate measuring machine[J].Tool Engineering, 2012, 46(7):76-79. (inChinese)
HUANG K, MO J H, ZHONG K, et al.. Simulation of error analysis for flexible articulated arm coordinate measuring machines[J].Journal of University of Science and Technology of Beijing, 2010, 32(10):1346-1352.
郑大腾. 柔性坐标测量机空间误差模型及最佳测量区研究[D]. 合肥: 合肥工业大学, 2010.
ZHEN D T. Research on spatial error model and optimal measurement area of flexible coordinate measuring machine[D]. Hefei: Hefei University of Technology, 2010.
ZHENG D T, WU Q Y.Research on optimal measurement area of joint coordinate measuring machine with support vector machine[J].Journal of Electronic Measurement and Instrument, 2011, 25(12):1025-1029.
QIN Z R. Application and research of matching techniques of circular indexing error on optimal measurement areas of FCMM[D].Hefei: Hefei University of Technology, 2012.
GAO G B, WANG W, LIN K, et al.. Error-simulation system modeling and error analyzing of an articulated arm coordinate Measuring machine[J]. Computer Integrated Manufacturing System, 2009, 15(8): 1534-1540.
ZHOU A G, ZHOU F, LV G, et al.. Kinematics and workspace analysis for articulated arm coordinate measuring machine[J].Journal of Mechanical Transmission, 2015(1):48-51.
ZHENG D T, FEI Y T. Measurement space analysis of flexible coordinate measuring machine based on MonteCarlo theory[J].Acta Metrologica Sinica, 2010, 31(4):294-298.
王宜举, 修乃华.非线性最优化理论与方法[M].北京:科学出版社, 2012.
WANG Y J, XIU N H.Nonlinear Optimization Theory and Method[M].Beijing:science press, 2012.
WU H F, CHEN X Q, MAO Q H, et al.. Improved ant colony algorithm based on natural selection strategy for sloving TSP problem[J]. Journal on Communication, 2013(4):165-170.
BI J, FU M Y, ZHANG Y H. An improved ant colony algorithm for the shortest path problem[J]. Computer Engineering and Applications, 2003, 39(3): 107-109.
GONG Y B, CHEN ZH Y, YANG SH M. Application of combined optimization design based on improved ACO to structural optimization of long slit spectrograph[J]. Opt. Precision Eng., 2009, 17(4):713-719.