1. bookVolume 23 (2023): Edition 1 (February 2023)
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07 Mar 2008
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A Novel Non-Contact Measurement Method of Ball Screw Thread Profile Detection Based on Machine Vision

Publié en ligne: 07 Mar 2023
Volume & Edition: Volume 23 (2023) - Edition 1 (February 2023)
Pages: 47 - 54
Reçu: 19 Aug 2022
Accepté: 22 Jan 2023
Détails du magazine
License
Format
Magazine
eISSN
1335-8871
Première parution
07 Mar 2008
Périodicité
6 fois par an
Langues
Anglais

[1] Cheng, Q., Qi, B., Liu, Z., Zhang, C., Deyi, X. (2019). An accuracy degradation analysis of ball screw mechanism considering time-varying motion and loading working conditions. Mechanism and Machine Theory, 134, 1-23. https://doi.org/10.1016/j.mechmachtheory.2018.12.02410.1016/j.mechmachtheory.2018.12.024 Search in Google Scholar

[2] Altintas, Y., Yang, J., Kilic, Z. M. (2019). Virtual prediction and constraint of contour errors induced by cutting force disturbances on multi-axis CNC machine tools. CIRP Annals, 68 (1), 377-380. https://doi.org/10.1016/j.cirp.2019.04.01910.1016/j.cirp.2019.04.019 Search in Google Scholar

[3] Gadelmawla, E. S. (2017). Computer vision algorithms for measurement and inspection of external screw threads. Measurement, 100, 36-49. https://doi.org/10.1016/j.measurement.2016.12.03410.1016/j.measurement.2016.12.034 Search in Google Scholar

[4] Wang, Y., Zhang, C., He, Y., Tao, L., Feng, H. (2018). Development and evaluation of non-contact automatic tool setting method for grinding internal screw threads. The International Journal of Advanced Manufacturing Technology, 98 (1), 741-754. https://doi.org/10.1007/s00170-018-2258-510.1007/s00170-018-2258-5 Search in Google Scholar

[5] Perng, D., Chen, S., Chang, Y. (2010). A novel internal thread defect auto-inspection system. The International Journal of Advanced Manufacturing Technology, 47 (5), 731-743. https://doi.org/10.1007/s00170-009-2211-810.1007/s00170-009-2211-8 Search in Google Scholar

[6] Martínez, S. S., Vázquez, C. O., García, J. G., Ortega, J. G. (2017). Quality inspection of machined metal parts using an image fusion technique. Measurement, 111, 374-383. https://doi.org/10.1016/j.measurement.2017.08.00210.1016/j.measurement.2017.08.002 Search in Google Scholar

[7] Jing, M., Du, Y. (2020). Flank angle measurement based on improved Sobel operator. Manufacturing Letters, 25, 44-49. https://doi.org/10.1016/j.mfglet.2020.07.00210.1016/j.mfglet.2020.07.002 Search in Google Scholar

[8] Zhen, N., An, Q. (2018). Analysis of stress and fatigue life of ball screw with considering the dimension errors of balls. International Journal of Mechanical Sciences, 137, 68-76. https://doi.org/10.1016/j.ijmecsci.2017.12.03810.1016/j.ijmecsci.2017.12.038 Search in Google Scholar

[9] Min, J. (2018). Measurement method of screw thread geometric error based on machine vision. Measurement & Control, 51 (7-8), 304-310. https://doi.org/10.1177/002029401878675 Search in Google Scholar

[10] Zhao, L., Feng, H., Rong, Q. (2018). A novel noncontact measuring system for the thread profile of a ball screw. Mechanical Sciences, 9 (1), 15-24. https://doi.org/10.5194/ms-9-15-201810.5194/ms-9-15-2018 Search in Google Scholar

[11] Wang, K., Feng, H. T. (2020). Optimization measurement for the ballscrew raceway profile based on optical measuring system. Measurement Science and Technology, 32 (3), 035010. https://doi.org/10.1088/1361-6501/abc3de10.1088/1361-6501/abc3de Search in Google Scholar

[12] Senthilnathan, R., Nandhini, M., Ranjani, R., Sridevi, S. (2017). Vision based orientation invariant measurement of metric screw thread parameters. In 2017 Trends in Industrial Measurement and Automation (TIMA). IEEE, 1-5. https://doi.org/10.1109/TIMA.2017.806481110.1109/TIMA.2017.8064811 Search in Google Scholar

[13] Liu, C. Y., Yen, T. P. (2016). Digital multi-step phaseshifting profilometry for three-dimensional ball screw surface imaging. Optics & Laser Technology, 79, 115-123. https://doi.org/10.1016/j.optlastec.2015.12.00110.1016/j.optlastec.2015.12.001 Search in Google Scholar

[14] Li, Z., Zhang, K., Wu, J., Lu, P. (2020). External thread measurement based on ResUnet and HMM. In 2020 5th International Conference on Computer and Communication Systems (ICCCS). IEEE, 400-403. https://doi.org/10.1109/ICCCS49078.2020.911859510.1109/ICCCS49078.2020.9118595 Search in Google Scholar

[15] Chen, M. L. (2018). Compensation of thread profile distortion in image measuring screw thread. Measurement, 129, 582-588. https://doi.org/10.1016/j.measurement.2018.07.04110.1016/j.measurement.2018.07.041 Search in Google Scholar

[16] Liu, C., He, Y., Li, Y., Wang, Y., Wang, L., Wang, S., Wang, Y. (2021). Predicting residual properties of ball screw raceway in whirling milling based on machine learning. Measurement, 173, 108605. https://doi.org/10.1016/j.measurement.2020.10860510.1016/j.measurement.2020.108605 Search in Google Scholar

[17] Chen, J. H., Zhang, J. J., Gao, R. J., Jiang, C.H., Ma, R., Qi, Z.M., Jin, H., Zhang, H.D., Wang, X.C. (2020). Research on modified algorithms of cylindrical external thread profile based on machine vision. Measurement Science Review, 20 (1),15-21. https://doi.org/10.2478/msr-2020-000310.2478/msr-2020-0003 Search in Google Scholar

[18] Cavoretto, R., De Rossi, A., Mukhametzhanov, M. S., Sergeyev, Y.D. (2021). On the search of the shape parameter in radial basis functions using univariate global optimization methods. Journal of Global Optimization, 79 (2), 305-327. https://doi.org/10.1007/s10898-019-00853-310.1007/s10898-019-00853-3 Search in Google Scholar

[19] Czyzowicz, J., Georgiou, K., Kranakis, E. (2019). Group search and evacuation. In Distributed Computing by Mobile Entities. Springer, 335-370. https://doi.org/10.1007/978-3-030-11072-7_1410.1007/978-3-030-11072-7_14 Search in Google Scholar

[20] Mukhametzhanov, M. S., Cavoretto, R., De Rossi, A. (2020). An experimental study of univariate global optimization algorithms for finding the shape parameter in radial basis functions. In Optimization and Applications: 10th International Conference OPTIMA 2019. Springer, 1145, 326-339. https://doi.org/10.1007/978-3-030-38603-0_2410.1007/978-3-030-38603-0_24 Search in Google Scholar

[21] Li, K., Wang, Q., Wang, M., Han, Y. (2019). Imaging of a distinctive large bubble in gas–water flow based on a size projection algorithm. Measurement Science and Technology, 30 (9), 094004. https://doi.org/10.1088/1361-6501/ab16b010.1088/1361-6501/ab16b0 Search in Google Scholar

[22] Huang, P., Liu, C., Yang, X., Yi, D., Zhang, H. (2022). High-speed measurement system for cord-rubber composites on conveyor belt based on machine vision. In 5th International Conference on Informatics Engineering and Information Science (ICIEIS 2022). SPIE, 1245209, 62-68. https://doi.org/10.1117/12.266233310.1117/12.2662333 Search in Google Scholar

[23] Wang, C. S., Kao, I. H., Hsu, Y. W., Lin, T. C., Tsay, D. M. (2021). Thread quality classification of a tapping machine based on machine learning. IEEE Transactions on Instrumentation and Measurement, 70, 1-15. https://doi.org/10.1109/TIM.2021.306721610.1109/TIM.2021.3067216 Search in Google Scholar

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