CNC Tool Path Generation on Multi-Core Processors

Abstract:

Tool path generation for CNC machine tools is mainly responsible for quality, accuracy and productivity of the manufacturing process and therefore in the focus of research activities. Many approaches regarding this topic yield to complex algorithms and thus, demand for the availability of sufficient processing performance realizing this algorithms in a CNC real-time environment. For that reason this paper presents an approach on how to use multi-core processors for CNC tool path generation functions. A partitioning concept is presented allowing to concurrently execute multiple threads realizing interpolation and arc length calculation algorithms. At the example of B-spline interpolation the execution time of the tool path generation function could be reduced significantly using the presented approach.

• Periodical: Applied Mechanics and Materials (Volume 794)
• Pages: 339-346
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.794.339
• Online since: October 2015
• Authors: Benjamin Kaiser*, Matthias Keinert, Armin Lechler, Alexander Verl
• Keywords: Computer Numerical Control (CNC), Multi-Core, Performance

References

[1] A. Yuen, K. Zhang, Y. Altintas, Smooth trajectory generation for five-axis machine tools, Volume 71 (2013) 11-19.

DOI: 10.1016/j.ijmachtools.2013.04.002

[2] C. Dripke, F. Groh, M. Keinert, A. Verl, A New Approach to Interpolation of Tool Path Trajectories with Piecwise Defined Clothoids, in: M.F. Zaeh (Ed. ), Enabling Manufacturing Competitiveness and Economic Sustainability, Proceedings of the 5th International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2013), München: Springer, 2014, pp.249-254.

DOI: 10.1007/978-3-319-02054-9_42

[3] S. Guccione, Hardware / Software Tradeoffs in Multicore Architectures, Austin Conference on Integrated Circuits and Systems (ACISC), Austin (2008).

[4] P. Gepner, M. F. Kowalik, Multi-core processors: New way to achieve high system performance, in: Parallel Computing in Electrical Engineering (PARELEC 2006), 2006, pp.9-13.

DOI: 10.1109/parelec.2006.54

[5] K. Hartmann, Design for Real-Time Control: Embedded Computing on Multicore Processors, Machine Design, July 30th 2014, http: /machinedesign. com/embedded/design-real-time-control-embedded-computing-multicore-processors [2015-04-05].

DOI: 10.1109/rtcsa.2012.55

[6] Beckhoff Automation GmbH, Many-Core Control: Automatisierungstechnik mit unendlichen Möglichkeiten, in: PC-Control 01/(2015).

[7] J. Bregenzer, J. Hartmann, An approach towards automation firmware modeling for an exploration and evaluation of efficient parallelization alternatives, in: Parallel Computing in Electrical Engineering (PARELEC 2011), 2011, pp.13-18.

DOI: 10.1109/parelec.2011.35

[8] Y. Dadji, J. Maass, H. Michalik, Parallel task processing on a multicore platform in a pc-based control system for parallel kinematics, in: Proceedings of the 6th International Conference on Computing, Communications and Control Technologies (CCCT), Orlando (FL), USA, (2008).

[9] H. Hong, D. Yu, X. Zhang, and L. Chen, Research on the data hungry problem in cnc system based on the architecture of real-time multitask, in: Computer Research and Development (ICCRD), volume 2, pp.103-108, (2011).

DOI: 10.1109/iccrd.2011.5764093

[10] M. Keinert, B. Kaiser, A. Lechler, and A. Verl, Analysis of cnc software modules regarding parallelization capability, in: Proceedings of 24th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), San Antonio, Texas, (2014).

DOI: 10.14809/faim.2014.0079

[11] Weck, Manfred, Werkzeugmaschinen 4-Automatisierung von Maschinen und Anlagen. Vol. 4. Springer-Verlag, (2006).

DOI: 10.1007/978-3-540-45366-6

[12] K. Erkorkmaz and Y. Altintas, High speed CNC system design. Part I: jerk limited trajectory generation and quintic spline interpolation, International Journal of Machine Tools & Manufacture, vol. 41, p.1323–1345, (2001).

DOI: 10.1016/s0890-6955(01)00002-5

[13] R. Asche, Multithreading Performance, January 31th 1996, https: /msdn. microsoft. com/en-us/library/ms810437. aspx [2015-08-06].

[14] S. Akhter and J. Roberts, Multi-Core Programming: Increasing Performance through Software Multi-threading, Intel Press, (2006).