Issues and Challenges in Robotic Trimming of CFRP

Mohamed Slamani, Jean Francois Chatelain


Thanks to their adaptability, programmability, high dexterity and good maneuverability, industrial robots offer more cutting-edge and lower-cost than machine tools to bring molded Carbon Fibre Reinforced Polymers (CFRPs) parts to their final shapes and sizes. However, the quality of CFRP parts obtained with robotic machining must be comparable to that obtained with a CNC machine. In addition, the robot itself has to be very stiff and accurate to provide the same consistency and accuracy as their machine tool counterparts. If the robot is not sufficiently stiff, chatter, overall vibrations and deviations in shape and position of the workpieces will occur. Furthermore, during robotic machining of Carbon Fibre Reinforced Polymer, the anisotropic and highly abrasive nature of CFRPs combined with the higher cutting forces and the lower stiffness of the robot, lead to numerous machining problems. Therefore, robotic machining of CFRPs stills a big challenge and need further research. In this position paper, a methodology has been developed and implemented to identify, understand and quantify the machining errors that can alter parts accuracy during high speed robotic trimming of CFRPs.


  1. Muelaner, JE., Wang, Z., Maropoulos PG., 2010. Concepts for and analysis of a high accuracy and high capacity (HAHC) aerospace robot, 21st International Computer-Aided Production Engineering Conference (CAPE), Edinburgh, Scotland.
  2. Slamani, M., Nubiola, A., Bonev, IA., 2012a. Modeling and assessment of the backlash error of an industrial robot. Robotica 30(7), 1167-1175.
  3. Ruderman M, Hoffmann F, Bertram T (2009) Modeling and identification of elastic robot joints with hysteresis and backlash. IEEE Transactions on Industrial Electronics 56(10), 3840-3847.
  4. Slamani, M., Nubiola, A., Bonev, IA., 2012b. Assessment of the positioning performance of an industrial robot Industrial Robot 39(1), 57-68.
  5. Brogardh, T., 2009. Robot control overview: An industrial perspective. Modeling Identification and Control 30(3): 167-180.
  6. Lambrechts, P., Boerlage, M., Steinbuch, M., 2005. Trajectory planning and feedforward design for electromechanical motion systems. Control Engineering Practice 13(2): 145-157.
  7. Hakvoort, WBJ., Aarts, RGKM., Dijk, VJ., Jonker, JB., 2008. Lifted system iterative learning control applied to an industrial robot. Control Engineering Practice 16(4), 377-391.
  8. Koch, H., Konig, A., Kleinmann, K., Weigl-Seitz, A., Suchy J., 2011. Predictive Robotic Contour Following Using Laser-Camera-Triangulation, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Budapest, Hungary, 422-427.
  9. Kataoka, H., Miyazaki, T., Ohishi, K., Katsura, S., Tungpataratanawong, S., 2011. Tracking control for industrial robot using notch filtering system with little phase error. Electrical Engineering in Japan 175(1): 793-801.
  10. Olabi, A., Bearee, R., Gibaru O., Damak, M. 2010 Feedrate planning for machining with, industrial sixaxis robots. Control Engineering Practice 18(5): 471-482.
  11. Shimada, A., 1995. Servo system design considering lowstiffness of robot, Precision Engineering 61(9): 1332-1336.
  12. Lischinsky, P., Canudas-de-Wit, C., Morel, G., 1997. Friction Compensation of a Schilling Hydraulic Robot. IEEE International Conference on Control Applications, Hartford, CT, USA 294-299.
  13. Shirase, K., Tanabe, N., Hirao, M., Yasui, T., 1996, Articulated robot application in end milling of sculptured surface, JSME Int. J., Series C, 39 (2):308- 316.
  14. Dumas, C., Boudelier, A., Caro, S., Garnier, S., Ritou, M., Furet, B., 2011. Development of a robotic cell for trimming of composite parts, Mechanics & Industry 12: 487-494.
  15. Leali, F., Vergnano, A., Pini, F., Pellicciari, M., Berselli, G., 2014. A workcell calibration method for enhancing accuracy in robot machining of aerospace parts, Int J Adv Manuf Technol, DOI 10.1007/s00170-014-6025-y.
  16. Sheikh-Ahmad, Jamal Y., 2009. Machining of Polymer Composites, Springer.

Paper Citation

in Harvard Style

Slamani M. and Chatelain J. (2015). Issues and Challenges in Robotic Trimming of CFRP . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 400-405. DOI: 10.5220/0005568504000405

in Bibtex Style

author={Mohamed Slamani and Jean Francois Chatelain},
title={Issues and Challenges in Robotic Trimming of CFRP},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},

in EndNote Style

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Issues and Challenges in Robotic Trimming of CFRP
SN - 978-989-758-123-6
AU - Slamani M.
AU - Chatelain J.
PY - 2015
SP - 400
EP - 405
DO - 10.5220/0005568504000405