A Brief Review of Robotic Machining

1. Altintas, Y., Ber, A. A., Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design, Appl. Mech. Rev., Vol. 54, No.5, pp. B84-B84., (2001).Search in Google Scholar

2. Cen, L., Melkote, S. N., Effect of robot dynamics on the machining forces in robotic milling. Procedia Manufacturing, Vol. 10, pp. 486-496, (2017).10.1016/j.promfg.2017.07.034Search in Google Scholar

3. IFR Statistical Department. Executive Summary WR 2019 Industrial Robots, (2019).Search in Google Scholar

4. Klimchik, A., Ambiehl, A., Garnier, S., Furet, B., Pashkevich, A., Efficiency evaluation of robots in machining applications using industrial performance measure, Robotics and Computer-Integrated Manufacturing, Vol. 48, 12-29. (2017).10.1016/j.rcim.2016.12.005Search in Google Scholar

5. Brunete, A., Gambao, E., Koskinen, J., Heikkilä, T., Kaldestad, K. B., Tyapin, I., ... & Anton, S., Hard material small-batch industrial machining robot, Robotics and Computer-Integrated Manufacturing, Vol. 54, pp. 185-199, (2018).10.1016/j.rcim.2017.11.004Search in Google Scholar

6. Caro, S., Dumas, C., Garnier, S., Furet, B., Workpiece placement optimization for machining operations with a KUKA KR270-2 robot. 2013 IEEE International Conference on Robotics and Automation, IEEE, pp. 2921-2926, (2013).10.1109/ICRA.2013.6630982Search in Google Scholar

7. Racz, G. S., Oleksik, V. S., Breaz, R. E., Incremental forming–CAE/CAM approaches and results, IOP Conference Series: Materials Science and Engineering, Vol. 591, No. 1, pp. 012065. IOP Publishing, (2019).Search in Google Scholar

8. Breaz, R. E., Racz, S. G., Considerations Regarding the Industrial Implementation of Incremental Forming Process. Materials Science Forum, Trans Tech Publications Ltd., Vol. 957, pp. 111-119, (2019).10.4028/www.scientific.net/MSF.957.111Search in Google Scholar

9. Oleksik, V., Influence of geometrical parameters, wall angle and part shape on thickness reduction of single point incremental forming, Procedia Engineering, Vol. 81, pp. 2280-2285, (2014).10.1016/j.proeng.2014.10.321Search in Google Scholar

10. Popp, Mihai., Rusu, Gabriela., Racz, Sever-Gabriel., Popp, Ilie Octavian., Force and thickness prediction with FEA of cranial implants manufactured through SPIF, MATEC Web of Conferences, No. 290, (2019).10.1051/matecconf/201929004008Search in Google Scholar

11. DePree, J., Gesswein, C., Robotic machining white paper project. Halcyon Development-Robotic Industries Association (RIA), (2008).Search in Google Scholar

12. Zhang, H., Wang, J., Zhang, G., Gan, Z., Pan, Z., Cui, H., Zhu, Z., Machining with flexible manipulator: toward improving robotic machining performance. Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, IEEE, pp. 1127-1132, (2005).Search in Google Scholar

13. Abele, E., Weigold, M., Rothenbücher, S., Modeling and identification of an industrial robot for machining applications. CIRP annals, Vol. 56, No. 1, pp. 387-390, (2007).10.1016/j.cirp.2007.05.090Search in Google Scholar

14. Wu, Y., Klimchik, A., Caro, S., Furet, B., Pashkevich, A., Geometric calibration of industrial robots using enhanced partial pose measurements and design of experiments, Robotics and Computer-Integrated Manufacturing, Vol. 35, pp. 151-168, (2015).10.1016/j.rcim.2015.03.007Search in Google Scholar

15. Diaz Posada, J., Schneider, U., Sridhar, A., Verl, A., Automatic motion generation for robotic milling optimizing stiffness with sample-based planning, Machines, Vol. 5, No. 1, (2017).10.3390/machines5010003Search in Google Scholar

16. Crenganiș, M., Bârsan, A., Racz, S. G., Iordache, M. D., SINGLE POINT INCREMENTAL FORMING USING KUKA KR6-2 INDUSTRIAL ROBOT-A DYNAMIC APPROACH, Proceedings in Manufacturing Systems, Vol. 13, No. 3, pp. 133-140, (2018).Search in Google Scholar

17. Taek Oh, Y., Influence of the joint angular characteristics on the accuracy of industrial robots. Industrial Robot: An International Journal, Vol. 38, No. 4, pp. 406-418, (2011).10.1108/01439911111132094Open DOISearch in Google Scholar

18. Erkaya, S., Investigation of joint clearance effects on welding robot manipulators, Robotics and Computer-Integrated Manufacturing, Vol. 28, No. 4, pp. 449-457, (2012).10.1016/j.rcim.2012.02.001Search in Google Scholar

19. Gong, C., Yuan, J., Ni, J., Nongeometric error identification and compensation for robotic system by inverse calibration, International Journal of Machine Tools and Manufacture, Vol. 40, No. 14, pp. 2119-2137, (2000).10.1016/S0890-6955(00)00023-7Search in Google Scholar

20. Ruderman, M., Hoffmann, F., Bertram, T., Modeling and identification of elastic robot joints with hysteresis and backlash, IEEE Transactions on Industrial Electronics, Vol. 56, No. 10, pp. 3840-3847, (2009).10.1109/TIE.2009.2015752Search in Google Scholar

21. Crenganis, M., Csiszar, A., A Dynamic Model for KUKA KR6 in SPIF Processes. Materials Science Forum, Trans Tech Publications Ltd., Vol. 957, pp. 156-166, (2019).10.4028/www.scientific.net/MSF.957.156Search in Google Scholar

22. ISO 9283, Manipulating industrial robots – Performance criteria and related test methods, International Organization for Standardization, Geneva, Switzerland, (1998).Search in Google Scholar