ISSN 2466-4677; e-ISSN 2466-4847
SCImago Journal Rank
2023: SJR=0.19
CWTS Journal Indicators
2023: SNIP=0.57
APLICATION OF ROBOTICS AND CNC MACHINES IN PRODUCTION
Authors:
1Teximp d.o.o, Belgrade, Republic of Serbia
2The Academy of Technical Applied Sciences, Bulevar Zorana Djindjica 152a, Belgrade, Republic of Serbia
Received: 18.11.2020.
Accepted: 14.12.2020.
Available: 31.12.2020.
Abstract:
In this paper the industrial automation of the production process, which is based on the fusion of a CNC machine and an industrial robot, is described. The functional structure of the flexible production cell, its configuration, programming methods and applications in industry are explained in detail. Based on the application of artificial intelligence, an example of making a machine part with the use of machines and software of the latest generation is given. Using this approach it is achieved significant shortening of production time, increased productivity and almost total elimination of scrap. Special attention is given to the current fourth industrial revolution and the application of the CAD / CAM / CNC concept in the future.
Keywords:
Artificial intelligence, automation, industrial computing systems, robotics
References:
[1] R. Perez, S.C. Gitierez, R. Zotovic, A Study on Robot Arm Machining : Advance and Future Challenges. 29th DAAAM International Symposium on Intelligent Manufacturing and Automation, Vienna, Austria, 2018, pp. 931-939.
https://doi.org/10.2507/29th.daaam.proceedings.134
[2] Y. Chen, F. Dong, Robot machining: recent development and future research issues. The International Journal of Advanced Manufacturing Technology, 66, 2013: 1489-1497. https://doi.org/10.1007/s00170-012-4433-4
[3] A. Klimchik, A. Ambiehl, S. Garnier, B. Furet, A. Pashkevich, Efficiency evaluation of robots in machining applications using industrial performance measure. Robotics and Computer-Integrated Manufacturing. 48, 2017: 12-29.
https://doi.org/10.1016/j.rcim.2016.12.005
[4] L. Cen, S.N. Melkote, Effect of Robot Dynamics on the Machining Forces in Robotic Milling. Procedia Manufacturing, 10, 2017: 486-496. https://doi.org/10.1016/j.promfg.2017.07.034
[5] S. Caro, C. Dumas, S. Garnier, B. Furet, Workpiece placement optimization for machining operations with a KUKA KR270-2 robot. In 2013 IEEE International Conference on Robotics and Automation, May 2013, Karlsruhe, France, pp.2921-2926.
[6] Y. Guo, H. Dong, Y. Ke, Stiffness-oriented posture optimization in robotic machining applications. Robotics and ComputerIntegrated Manufacturing, 35, 2015: 69-76. https://doi.org/10.1016/j.rcim.2015.02.006
[7] A. Pashkevich, A. Klimchik, D. Chablat, Enhanced stiffness modeling of manipulators with passive joints. Mechanism and Machine Theory, 46 (5), 2011: 662-679. https://doi.org/10.1016/j.mechmachtheory.2010.12.008
[8] M. Tomic, S. Matic-Kekic, L. Savin, E. Desnica, N. Dedovic, M. Simikic, O. Ponjican, A. Asonja, Optimization of the locations of overhaul capacities for agricultural engineering in Serbia by applying integer programming. African Journal of Agricultural Research, 6 (15), 2011:3346-3354.
[9] C. Dumas, S. Caro, S. Garnier, B. Furet, Joint stiffness identification of six-revolute industrial serial robots. Robotics and Computer-Integrated Manufacturing, 27 (4), 2011: 881-888. https://doi.org/10.1016/j.rcim.2011.02.003
[10] B. Olofsson, Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control, Department of Automatic Control. Lund University, 2015.
[11] I. Tyapin, G. Hovland, P. Kosonen, T. Linna, Identification of a static tool force model for robotic face milling. In 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), IEEE, 10-12 September, 2014 Senigallia, Italy, pp.1-6. https://doi.org/10.1109/MESA.2014.6935591
[12] C. Lehmann, M. Halbauer, D. Euhus, Overbeck, D. Milling with industrial robots: Strategies to reduce and compensate process force induced accuracy influences. In Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), IEEE, 17-21 September 2012, Krakow, Poland, pp.1-4. https://doi.org/10.1109/ETFA.2012.6489741
[13] J.W. Jeon, Y.Y. Ha, A generalized approach for the acceleration and deceleration of industrial robots and CNC machine tools. IEEE Transactions on Industrial Electronics, Vol.47 No.1, February 2000, pp.133-139. https://doi.org/10.1109/41.824135
[14] K. Wu, J. Brueninghaus, B. Johnen, B. Kuhlenkoetter, Applicability of stereo high speed camera systems for robot dynamics analysis. 2015 International Conference on Control, Automation and Robotics, 20-22 May, 2015, Singapore, Singapore, 44–48. https://doi.org/10.1109/ICCAR.2015.7165999
[15] E.O. Ezugwu, W.F. Sales, J. Landre, Machining Dynamics in Turning Processes. SpringerVerlag, London, 2009, pp. 151-166. https://doi.org/10.1007/978-1-84628-368-0
[16] W.S. Owen, E.A. Croft, B. Benhabib, Real-time trajectory resolution for a two-manipulator machining system. J. Robot. Syst., 22, 2006:51-63. https://doi.org/10.1002/ROB.V22:S1
[17] L. Zhang, J. Deng, S. Chan, A next generation machining system based on NC feature unit and real-time tool path generation, Int. J. Adv. Manuf. Technol., 16, 2000: 889-901. https://doi.org/10.1007/s001700070007
[18] J. Wan, H. Cai, K. Zhou, Industrie 4.0: enabling technologies. In Intelligent Computing and Internet of Things (2015 ICIT), IEEE, 17-18 January 2015, Harbin, China, pp.135-140.
[19] W. Luo, Germany industrial 4.0 strategic enlightenment to China’s industrial transformation, Fiber Reinforced Plastics/Composites, 2014. pp.125-128. (in Chinese).
[20] J. Hovey, Robotic Automation of a CNC Machine, Honors Undergraduate Theses. UCF, USA, 2019.
https://stars.library.ucf.edu/honorstheses/662
[21] M Minhat, X.W. Xu, Characteristics and Technologies of Advanced CNC Systems. Encyclopedia of Information Science and Technology, 2009: 519-527. https://doi.org/10.4018/978-1-60566-026-4.ch085
[22] G.M. Martinov, A.B. Ljubimov, A.S. Grigoriev, L.I. Martinova, Multifunction Numerical Control Solution for Hybrid Mechanic and Laser Machine Tool. Procedia CIRP, 1, 2012: 260-264. https://doi.org/10.1016/j.procir.2012.04.047
[23] S.N. Grigoriev, G.M. Martinov, Decentralized CNC Automation System for Large Machine Tools. The International Conference on Competitive Manufacturing (COMA ’13), Stellenbosch, South Africa, 2013, pp. 295-300.
[24] M. Xiong-bo, H. Zhen-yu, W. Yong-zhang, F. Hong-ya, Development of a PC-based Open Architecture Software-CNC System. Chinese Journal of Aeronautics, 20 (3), 2007: 272-281. https://doi.org/10.1016/S1000-9361(07)60044-2
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
How to Cite
M. Miscevic, D. Dihovicni, Aplication of Robotics and CNC Machines in Production. Applied Engineering Letters, 5(4), 2020: 135-141.
https://doi.org/10.18485/aeletters.2020.5.4.4
More Citation Formats
Miscevic, M., & Dihovicni, D. (2020). Aplication of Robotics and CNC Machines in Production. Applied Engineering Letters, 5(4), 135–141. https://doi.org/10.18485/aeletters.2020.5.4.4
Miscevic, Milan, and Djordje Dihovicni. “Aplication of Robotics and CNC Machines in Production.” Applied Engineering Letters, vol. 5, no. 4, 2020, pp. 135–41, https://doi.org/10.18485/aeletters.2020.5.4.4.
Miscevic, Milan, and Djordje Dihovicni. 2020. “Aplication of Robotics and CNC Machines in Production.” Applied Engineering Letters 5 (4): 135–41. https://doi.org/10.18485/aeletters.2020.5.4.4.
Miscevic, M. and Dihovicni, D. (2020). Aplication of Robotics and CNC Machines in Production. Applied Engineering Letters, 5(4), pp.135–141. doi:10.18485/aeletters.2020.5.4.4.
SCImago Journal Rank
2023: SJR=0.19
CWTS Journal Indicators
2023: SNIP=0.57
APLICATION OF ROBOTICS AND CNC MACHINES IN PRODUCTION
Authors:
1Teximp d.o.o, Belgrade, Republic of Serbia
2The Academy of Technical Applied Sciences, Bulevar Zorana Djindjica 152a, Belgrade, Republic of Serbia
Received: 18.11.2020.
Accepted: 14.12.2020.
Available: 31.12.2020.
Abstract:
In this paper the industrial automation of the production process, which is based on the fusion of a CNC machine and an industrial robot, is described. The functional structure of the flexible production cell, its configuration, programming methods and applications in industry are explained in detail. Based on the application of artificial intelligence, an example of making a machine part with the use of machines and software of the latest generation is given. Using this approach it is achieved significant shortening of production time, increased productivity and almost total elimination of scrap. Special attention is given to the current fourth industrial revolution and the application of the CAD / CAM / CNC concept in the future.
Keywords:
Artificial intelligence, automation, industrial computing systems, robotics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)