APPLICATION OF CNC MACHINING FOR ELECTROMECHANICAL PARTS BASED ON MACHINE VISION TECHNOLOGY

Fan Xie

References

  1. [1] C. Dong and C. Zhong, Application of artificial intelligencetechnology in CNC system, International Journal of Ad Hocand Ubiquitous Computing, 39(4), 2022, 172–181.
  2. [2] J. Qi, H. Chen, and F. Chen, Extraction of landslide features inUAV remote sensing images based on machine vision and imageenhancement technology, Neural Computing & Applications,34(15), 2022, 12283–12297.
  3. [3] R. Xia, S. Gao, and D. Zhao, A terminal sliding mode learningcontrol for a class of uncertain non-linear systems, MechatronicSystems and Control, 50(2), 2022, 87–95.
  4. [4] P. Wu, T. He, H. Zhu, Y. Wang, Q. Li, Z. Wang, and X.Fu, Next-generation machine vision systems incorporating two-dimensional materials: Progress and perspectives, AdvancedMaterials, 4(1), 2022, 23–39.
  5. [5] F. Khoshnoud, L. Lamata, C.W.D. Silva, and M.B. Quadrelli,Quantum teleportation for control of dynamical systems andautonomy, Mechatronic Systems and Control, 49(3), 2021,124–131.
  6. [6] E.A. Remmikh and A.A. Vasiliev, Ecological aspects of visualtracking technology and personal data protection, UkrainianJournal of Ecology, 10(5), 2020, 142–144.
  7. [7] S.O. Aydin, O. Barut, M.O. Yilmaz, B. Sahin, G. Akyoldas,M.Y. Akgun, O. Baran, and N. Tanriover, Use of 3-Dimensionalmodeling and augmented/virtual reality applications inmicrosurgical neuroanatomy training, Operative Neurosurgery(Hagerstown, Md.), 24(3), 2022, 318–323.
  8. [8] J. Dorilio, N. Utah, C. Dowe, F. Avrumova, D. Alicea, A.Brecevich, and T. Callanan, Comparing the efficacy of radiationfree machine-vision image-guided surgery with traditional 2-Dimensional fluoroscopy: A randomized, single-center study,The Musculoskeletal Journal of Hospital for Special Surgery,17(3), 2021, 274–280.
  9. [9] S. Vasanth, T. Muthuramalingam, and S. Gupta, Carbonizationregion measurement in vegetable tanned goat leather usingmachine vision system for evaluating performance measures ofleather cut contour edges, Journal of the American LeatherChemists Association, 117(2), 2022, 51–64.
  10. [10] P.M. Abhilash and D. Chakradhar, Machine-vision-basedelectrode wear analysis for closed loop wire EDM processcontrol, Advances in Manufacturing, 10(1), 2022, 131–142.
  11. [11] S.K. Khare, Machine vision for drill string slip status detection,Petroleum Research, 7(1), 2022, 115–122.
  12. [12] Q.H. Liao, C. Wei, Y. Li, L.A. Guo, and H.X. Ouyang,Developing a machine vision system equipped with UV lightto predict fish freshness based on fish-surface color, Food andNutrition Sciences, 12(3), 2021, 239–248.
  13. [13] C.H. Lin, J.M. Li, S.Y. Liang, Y.H. Zhang, and J.F. Gou,Improving the precision of micro-EDM for blind holes intitanium alloy by fixed reference axial compensation, Reviewson Advanced Materials Science, 60(1), 2021, 771–783.
  14. [14] T. Kolditz, N. Rochow, P. Nyhuis, and A. Raatz, Batch timeoptimization for an aerodynamic feeding system under changingambient conditions, Procedia CIRP, 97(1), 2021, 278–283.
  15. [15] H. Liu, R. Yang, P. Wang, J. Chen, and H. Xiang, Errorcorrection technique for numerical control machine toolsbased on the simplex method, Proceedings of the Institutionof Mechanical Engineers, Part B: Journal of EngineeringManufacture, 236(4), 2022, 348–354.
  16. [16] F.E. Bock, J. Herrnring, M. Froend, J. Enz, and B. Klusemann,Experimental and numerical thermo-mechanical analysis ofwire-based laser metal deposition of Al-Mg alloys, Journal ofManufacturing Processes, 64(2), 2021, 982–995.
  17. [17] M. Perini, P. Bosetti, and N. Balc, Additive manufacturing forrepairing: from damage identification and modeling to DLD,Rapid Prototyping Journal, 26(5), 2020, 929–940.
  18. [18] J. Tavoosi, A novel recurrent type-2 fuzzy neural networkfor stepper motor control, Mechatronic Systems and Control,49(1), 2021, 30–35.
  19. [19] S. Wass, M. Kanj, K. Mayuga, A. Hussein, and M.K.Chung, Proarrhythmic effects from competitive atrial pacingand potential programming solutions, Pacing and ClinicalElectrophysiology, 43(7), 2020, 720–729.
  20. [20] R. Zha, Y. Bai, L. Yu, B. Li, and J.F. Zhou, Laser derustingon low carbon steel surface based on coordinated applicationof machine vision and laser-induced breakdown spectroscopy,Applied Optics, 61( 9), 2022, 2147–2145.
  21. [21] S. Ramakanth, S. Soundarresan, D. Arumuganainar, Z.Mamgain, and H.V. Kumaraswamy, Extraction of jet engineparameters from micro-Doppler signatures using continuouswavelet transform, IET Radar, Sonar & Navigation, 15(2),2021, 194–207.
  22. [22] Y. Zhao, Y.T. Yan, F. Ye, J.Q. Ding, and S. Li, W-bandlayered waveguide filters based on CNC-milling technology,IET Microwaves, Antennas & Propagation, 16(8), 2022,544–551.
  23. [23] M. Huang, Y. Liu, and Y. Yang, Edge detection of ore androck on the surface of explosion pile based on improvedCanny operator, Alexandria Engineering Journal, 61(12), 2022,10769–10777.
  24. [24] S. Yaqubi, M. Homaeinezhad, and M.R. Homaeinezhad,Adaptive fuzzy-wavelet neural networks-based real-time modelgeneration for increasing tracking precision of multivariableservo actuator, Mechatronic Systems and Control, 50(1), 2022,49–54.
  25. [25] G. Riva and C. Carissoli, ImmerSAFE: Immersive visualtechnologies for safety-critical applications, Cyberpsychology,Behavior and Social Networking, 24(12), 2021, 851–852.

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