Abstract
Theoretical analysis and experimental studies have been conducted on the automatic control process for installation errors of body parts using the IGM-2K measuring head on numerically controlled machines. The results of the experimental study are presented, detailing the actual values of control errors and the time costs associated with automatic approach methods using the IGM-2K for checking the base points of body part surfaces on these machines. An algorithm for selecting the first approach speed F1 for IGM-2K has been developed. In accordance with the developed algorithm, the optimal values F1 are determined for a different range of installation errors of body parts. An algorithm has been developed for selecting the IGM-2K approach method depending on the range of installation errors for body parts. A graph of the time costs of the measuring head approach methods depending on the range of installation errors for body parts is provided. In accordance with the developed algorithm, the optimal values of F1 have been determined for different ranges of installation errors for body parts. Thus, for the installation error range ∆i=0÷2 mm F1=300 mm/min, for ∆i=0÷5 mm, the optimal value is F1=400 mm/min. Analysis of the research results showed that the choice of the first approach speed using this algorithm for the IGM-2K reduces the control cycle time compared to the BV 4272-04 measuring head and the “Renishaw” measuring head by 1.5÷2 times, depending on the range of installation error of the body part on machines with a numerical control device.
First Page
100
Last Page
106
References
1. Hossein, B.F., Mika, L., Juha, V. (2019). Intelligent process planning for smart manufacturing systems: a state-of-the-art review. Procedia Manufacturing. 38, 156-162.
2. Abduvaliev, A.M. (2018). Method for Determining the Optimal Cutting Modes for Machine Tools with Numerical Program Control. International Journal of Advanced Research in Science, Engineering and Technology. 5(10), 6982-6989.
3. Dateng, Zh., Chengtao, D., Yonggang, H. (2012). Research on optimal measurement area of flexible coordinate measuring machines. Measurement. 45(3), 250-254.
4. Bomba, G., Ornat, A., Gierlak, P., Muszyńska, M. (2022). On-Machine Measurements for Aircraft Gearbox Machining Process Assisted by Adaptive Neuro-Fuzzy Inference System. Applied Sciences. 12. 4780. 10.3390/app12094780.
5. Djurdjanovic, D., Mears, L., Niaki, F., Haq, A., Li, L. (2018). State of the Art in Process, System and Operation Level Control in Modern Manufacturing. Journal of Manufacturing Science and Engineering. 140. 10.1115/1.4038074.
6. Weckenmann, A., Estler, T., Peggs, G., McMurtry, D. (2004). Probing systems in dimensional metrology. CIRP Annals - Manufacturing Technology. 53. 657-684. 10.1016/S0007-8506(07)60034-1.
7. Cho, J.W., Seo, T.K. (2002). Inspection Planning Strategy for the On-Machine Measurement Process Based on CAD/CAM/CAI Integration. International Journal of Advanced Manufacturing Technology. 19. 607-617. 10.1007/s001700200066.
8. Kumar, S., Newman, S. (2009). Standardised Process Control System for CNC. Manufacturing. 10.1007/978-1-84882-739-4-1.
9. Weckenmann A.T., Estler, G., Peggs, D. (2004). McMurtry, Probing Systems in Dimensional Metrology, CIRP Annals. 53(2), 657-684.
10. Gao, W., Haitjema, H., Fang, F.Z., Leach, R.K., Cheung, C.F., Savio, E., Linares, J.M. (2019). On-machine and in-process surface metrology for precision manufacturing. CIRP Annals. 68(2), 843-866.
11. Bomba, G., Ornat, A., Gierlak, P. (2021). Geometric Measurements on a TNCD Machining Device as an Element of Closed Door Technology. Sensors. 21. 4852. 10.3390/s21144852.
12. Holub, M., Jankovych, R., Andrs, O., Kolibal, Z. (2018). Capability Assessment of CNC Machining Centres as Measuring Devices. Measurement. 118. 10.1016/j.measurement.2018.01.007.
13. Fiona, Zh., Xun, X., Xie, S.Q. (2009). Computer-Aided Inspection Planning – The state of the art. Computers in Industry. 60(7), 453-466.
14. Ji-Hun Jung, Jin-Phil Choi, Sang-Jo Lee (2006). Machining accuracy enhancement by compensating for volumetric errors of a machine tool and on-machine measurement. Journal of Materials Processing Technology. 174(1-3), 56-66.
15. Adam Woźniak, Marek Dobosz (2005). Influence of measured objects parameters on CMM touch trigger probe accuracy of probin. Precision Engineering. 29(3), 290-297.
16. Saeid Sepahi-Boroujeni, Mayer, J.R.R., Farbod Khameneifar, Adam Woźniak (2021). A full-covariance uncertainty assessment in on-machine probing. International Journal of Machine Tools and Manufacture. 167, 103768.
17. Abduvaliev, A.M. (2024). Multiparameter control and management system for technological processes in conditions of production automation. International scientific and scientific - technical conference “Resource-saving innovative technologies in foundry production”, 176-178.
18. Abduvaliev, A.M. (2019). Improvement of the system of multiparametric control and control of technological processes of machining parts. Chemical Technology. Control and management. 2, 44-51.
19. Abduvaliev, A.M. (2009). Research of factors influencing the control error on TNCD machines. Problems of Mechanics. 1, 63-65.
Recommended Citation
Abduvaliev, A.M.
(2024)
"SELECTING THE FIRST APPROACH SPEED OF THE IGM-2K MEASURING HEAD WHEN CONTROLLING THE INSTALLATION ERROR OF HOUSING PARTS ON TNCD MACHINES,"
Chemical Technology, Control and Management: Vol. 2024:
Iss.
5, Article 16.
DOI: https://doi.org/10.59048/2181-1105.1636
