Abstract
The measurement of traditional workpiece geometry is based on the measurement results of points, lines, surfaces, balls, and other elements as objects. The best measurement area in the measurement space of the on-machine measurement system for different typical measurement objects is determined to achieve a high-precision, efficient measurement. This study is oriented to the circular surface measurement object, establishes the integrated error model and circular surface measurement error model of the on-machine measurement system, and analyzes the circular surface measurement error distribution law in the designated measurement space. Beetle antennae search particle swarm optimization algorithm (BAS-PSO) is proposed to solve the optimal measurement area for the established theoretical objective model of the optimal measurement area. The optimization effect is compared between BAS-PSO and the ACO, PSO, FOA, SA-PSO (simulated annealing particle swarm optimization), and IA-PSO (immune particle swarm optimization) algorithms. The experiment of determining the best measurement area of the on-machine measurement system based on circular surface measurement is conducted, simulated, and calculated with the circular surface measurement error model. The comparative analysis of the best measurement area is obtained by algorithm optimization. Experimental results show that the BAS-PSO algorithm is not caught in the local optimum, its convergence speed and stability are better than those of the five other algorithms, and it is more suitable for solving the best measurement area of the circular surface measurement. The circular surface error measurement results and simulation calculations overlap with the best measurement area obtained by the algorithm optimization. The space of the best area is 356.061 mm ≤ X ≤ 365.061 mm, −109.727 mm ≤ Y ≤ −100.727 mm, and −263 mm ≤ Z ≤ −253 mm. The measured maximum error minimum value of this area is 5.3 μm. The minimum value of the maximum error obtained by the simulation calculation of the circular surface measurement is 4.1 μm, and the minimum value of the maximum error obtained by the algorithm optimization is 8.8 μm. The validity and practicability of the proposed method for determining the best measurement area of the three-axis machine tool on-machine measurement system are verified.
Similar content being viewed by others
Availability of data and materials
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
Code availability
The raw/processed data required to reproduce these findings cannot be shared at this time as the data also forms part of an ongoing study.
References
Wang JD, Wang QJ, Li HT (2019) The method of geometric error measurement of NC machine tool based on the principle of space vector’s direction measurement. Korean Soc Precis Eng 20(4):511–524
Chen GD, Sun YZ, Zhang FH, Lu LH, Chen WQ, Yu N (2018) Dynamic accuracy design method of ultra-precision machine tool. Chin J Mech Eng 31(01):167–175
Chen JX, Lin SW, Zhou XL, Qi T (2016) A ballbar test for measurement and identification the comprehensive error of tilt table. Int J Mach Tools Manuf 103:1–12
Zhong L, Bi Q, Wang Y (2017) Volumetric accuracy evaluation for five-axis machine tools by modeling spherical deviation based on double ball-bar kinematic test. Int J Mach Tools Manuf 122:106–119
Wang J, Cheng C, Li H (2020). A novel approach to separate geometric error of the rotary axis of multi-axis machine tool using laser tracker. Int J Prec Eng Manuf 1–11
Wan M, Liu Y, Zhang WH (2016) A new algorithm for the identification of CNC geometric errors. Proc CIRP 56:293–298
Wang CX, Wang W, Zhou XY, Men Y (2020) A combined measurement method for large-size workpieces based on laser tracker and articulated arm measuring machine. Appl Laser 40(03):503–506 (in Chinese)
Zheng DT, Fei YT (2010) Research on the spatial error model of flexible coordinate measuring machine. Chin J Mech Eng 46(10):19–24 (in Chinese)
Zheng DT, Wu QY (2011) Research on the best measurement area of joint coordinate measuring machine based on support vector machine. J Electron Measur Instrum 25(12):18–22 (in Chinese)
Qin ZR (2012) Research on the application of circle indexing error matching technology in the optimization of the optimal measurement area of the flexible articulated arm. Hefei University of Technology, Hefie (in Chinese)
Hu Y, Jiang C, Huang W, Hu PH (2017) Using ant colony algorithm to solve the best measurement area of articulated coordinate measuring machine. Opt Precis Eng 25(06):1486–1493 (in Chinese)
Hu Y, Huang W, Hu PH, Yang HT (2018). Modular joint design of self-driving articulated arm coordinate measuring machine. Optics and Precision Engineering26(08):2021-2029. (in Chinese)
Jiang C (2017) Practical research on the best measurement area of articulated coordinate measuring machine. Hefei University of Technology. (in Chinese), Hefie
Gu QH, Chang YX, Li XH, Chang ZZ, Feng ZD (2021) A novel F-SVM based on FOA for improving SVM performance. Expert Syst Appl 165:113713
Chu YL, Fan Y, He YY, Wu QW (2021) An improved multi-node Newton iteration search method based on PSO. Optik 232:166404
Rtibi W, M’barki L, Yaich M, Ayadi M (2021). Implementation of the ACO algorithm in an electrical vehicle system powered by five-level NPC inverter. Electr Eng 1-11
Jiang X, Li S (2018) BAS: beetle antennae search algorithm for optimization problems. Int J Robot Control 1(1):1–5
Ghosh T, Martinsen K (2021). A collaborative beetle antennae search algorithm using memory based adaptive learning. Appl Artif Intell 1-36
Mo XJ, Ge WJ, Zhao DL, Shen YL (2020) Path and function synthesis of multi-bar mechanisms using beetle antennae search algorithm. Filomat 34(15):5215–5233
Li XQ, Jiang HK, Niu MG, Wang RX (2020) An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm. Mech Syst Signal Process 142:106752
Guan XA, Yuan SZ, Liu YZ (1982)Dual-frequency laser interferometer[M]. China Metrol Press 1982:283–301 (in Chinese)
Jiang L (2020). Research on the method of determining the optimal measurement zone of CNC machine tool on-machine measurement system. AnHui University of Science and Technology. (in chinese)
Wang HD, Deng SE, Yang JX, Liao H, Wen BL (2020)Parameter-Adaptive VMD Method Based on BAS Optimization Algorithm for Incipient Bearing Fault Diagnosis. Math Probl Eng 2020:5659618
Shi F (2011) MATLAB intelligent algorithm-30 case studies. Beijing University of Aeronautics and Astronautics Press, Beijing, pp 130–132 (in Chinese)
Wang XQ, Zhao Y, Wang D, Zhu HJ, ZHANG Q (2013) Improved multi-objective ant colony optimization algorithm and its application in complex reasoning. Chin J Mech Eng 26(05):1031–1040
Li L, Yang HT, Jiang L, Gu JH, Zhang Y (2020) Optimal measurement area determination algorithm of articulated arm measuring machine based on improved FOA. Measur Control 53(9–10):2146–2158
Li QH, Wei AX, Zhang ZH (2019). Application of economic load distribution of power system based on BAS-PSO. IOP Conf Series: Mater Sci Eng 490(7)
Wu WG, Gao LY (2018) Parameter optimization of a stability-training platform’s 4-PSS/PS parallel mechanism based on training ability evaluation index and PSO algorithm. Chin J Mech Eng 31(03):37–47
Shen LJ, Hu ZN, Chen CM (2021) An immune evolutionary algorithm with punishment mechanism for public procurement expert selection. Math Probl Eng 2021:1–10
Lee J, Perkins D (2021). A simulated annealing algorithm with a dual perturbation method for clustering. Pattern Recogn 112
Hu ZX, Zhang PG (2021). Damage identification of structures based on smooth orthogonal decomposition and improved beetle antennae search algorithm. Adv Civ Eng 2021
Funding
This work was supported by the Key Research and Development Plan of Anhui Province under Grant No. 202004a07020046, National Natural Science Foundation of China under Grant No. 51675004, and Key Projects of Anhui University Natural Science Research Project under Grant No. KJ2019A0844.
Author information
Authors and Affiliations
Contributions
The author’ contributions are as follows: Hongtao Yang was in charge of the whole trial; Qun Ma wrote the manuscript; Yu Zhang, Li Li, and Mei Shen are responsible for error measurement and data processing. Jun Wang is responsible for checking and revising the format of the paper. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval
All authors confirm that they follow all ethical guidelines.
Consent to participate
Not applicable.
Consent for publication
All authors have read and agreed to the published version of the paper.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Yang, H., Ma, Q., Zhang, Y. et al. Research on the method of determining the best measuring area for the circular surface survey. Int J Adv Manuf Technol 118, 3457–3475 (2022). https://doi.org/10.1007/s00170-021-08075-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-021-08075-2