Abstract
Inappropriate cutting force often causes tool failures, poor surface quality, and even machine breakdowns. It can be overcome by optimizing some cutting parameters, in particular, feed-rate. To optimize feed-rate, we propose a system which consists of three tasks: Optimization task, Process control task and Knowledge Based Evaluation (KBE) task. STEP-NC data model is used to perform the tasks. Given the nominal powers, the cutting force can be estimated based on the higher-level production information such as material work-piece properties, tool materials and geometries, and machine capabilities. The information together with the STEP-NC data model enables us to optimize the feed-rate via Optimization task, where EXPRESS language is used for constructing the data model. The actual feed-rate is attained by verifying the optimized feed-rate under actual cutting force condition based on the Process control task at shop-floor. Finally, the actual feed-rate is recorded and evaluated in the KBE task.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aggarwal, A., Singh, H.: Optimization of machining techniques: A retrospective and literature review. Sadhana 30(6), 699–711 (2005)
Boud, F., Gindy, N.N.Z.: Application of multi-sensors for monitoring tool/workpiece condition in broaching. International Journal of Computer Integrated Manufacturing 21(6), 715–729 (2008)
Byrne, G., Dornfeld, D., Inasaki, I., Ketteler, G., Konig, W., Teti, R.: Tool Condition Monitoring (TCM): The Status of Research and Industrial Application (Keynote Papers). Annals of the CIRP 44(2), 541–567 (1995)
Chang, T.C., Chen, J.C.: Fuzzy nets based on-line cutting power recognition in milling operations. The International Journal of Advanced Manufacturing Technology 15, 231–237 (1999)
El-Hofy, H.: Fundamentals of Machining Processes: conventional and non-conventional processes, pp. 160–182. Taylor and Francis, Boca Raton (2007)
Henriques, E.: Towards the integration of process and production planning: an optimization model for cutting parameters. The International Journal of Advanced Manufacturing Technology 28, 117–128 (2006)
Ismail, F., Kubica, E.G.: Active suppression of chatter in peripheral milling: Part I. A statistical indicator to evaluate the spindle speed modulation method. The International Journal Advanced Manufacturing Technology 10, 299–310 (1995)
ISO 10303-11: 1994. Industrial automation systems and integration - Product data representation and exchange - Part 11: Description methods: The EXPRESS language reference manual
ISO 10303-21: 1994.Industrial automation systems and integration - Product data representation and exchange - Part 21: Implementation methods: Clear text encoding of the exchange structure
ISO 14649-10:2003. Industrial automation systems and integration Physical device control-Data model for computerized numerical controllers-Part 10: General process data, ISO TC 184/SC 1, May 23 (2003)
ISO 14649-11:2003.Industrial automation systems and integration Physical device control-Data model for computerized numerical controllers-Part 11: Process data for milling, ISO TC 184/SC 1, May 23 (2003)
ISO 14649-111:2001.Data model for Computerized Numerical Controllers: Part 111 - Tools for milling
Kim, S.-J., Lee, H.-U., Cho, D.-W.: Feedrate scheduling for indexable end milling process based on an improved cutting force model. International Journal of Machine Tools and Manufacture 46(12-13), 1589–1597 (2006)
Kumar, S., Nassehi, A., Newman, T.S., Allen, R.D., Tiwari, M.K.: Process control in CNC manufacturing for discrete components: A STEP-NC compliant framework. Robotics and Computer-Integrated Manufacturing 23(6), 667–676 (2007)
Lamikiz, A., de Lopez Lacalle., L.N., Sanchez, J.A., Bravo, U.: Cutting force integration at the CAM stage in the high-speed milling of complex surfaces. International Journal of Computer Integrated Manufacturing 18(7), 586–600 (2005)
Lee, H.-U., Cho, D.-W.: Development of a reference cutting force model for rough milling feedrate scheduling using FEM analysis. International Journal of Machine Tools and Manufacture 47(1), 158–167 (2007)
Li, Z.Z., Zhang, Z.H., Zheng, L.: Feedrate optimization for variant milling process based on cutting force prediction. The International Journal of Advanced Manufacturing Technology 24(7-8), 541–552 (2004)
Liang, M., Yeap, T., Hermansyah, A., Rahmati, S.: Fuzzy control of spindle torque for industrial CNC machining. International Journal of Machine Tools and Manufacture 43, 1497–1508 (2003)
Liang, S.Y., Hecker, R.L., Landers, R.G.: Machining process monitoring and control: the state of the art. J. Mfg Sci. Engng 126, 297–310 (2004)
Lim, E.E.M., Menq, C.-H.: Integrated for precision machining of complex surfaces. Part 1: Cutting-path and federate optimization. International Journal of Machine Tools and Manufacture 37(1), 61–75 (1997)
Proctor, F.M., Kramer, T.R., Michaloski, J.L.: Canonical Machining Commands. Intelligent Systems Division National Institute of Standards and Technology Administration U.S. Department of Commerce Gaithersburg, Maryland 20899 (1997)
Satishkumar, S., Asokan, P., Kumanan, S.: Optimization of depth of cut in multi-pass turning using nontraditional optimization technique. The International Journal of Advanced Manufacturing Technology 29, 230–238 (2006)
Sencer, B., Altintas, Y., Croft, E.: Feed optimization for five-axis CNC machine tools with drive constraints. International Journal of Machine Tools and Manufacture 48(7-8), 733–745 (2008)
Smithey, D.W., Kapoor, S.G., DeVor, R.E.: A New Mechanistic Model For Predicting Worn Tool Cutting Forces. Machining Science and Technology 5(1), 23–42 (2001)
Soliman, E., Ismail, F.: A Control system for chatter Avoidance by ramping the spindle speed. Transactions of the ASME 120, 674–683 (1998)
Soliman, E., Ismail, F.: Chatter suppression by adaptive speed modulation. International Journal of Machine Tools and Manufacture 37(3), 355–369 (1997)
Wosnik, M., Kramer, C., Selig, A., Klemm, P.: Enabling feedback of process data by use of STEP-NC. International Journal of Computer Integrated Manufacturing 19(6), 559–569 (2006)
Xu, X.: Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control: Principles and Implementations. In: Information Science Reference IGI global, 1st edn., New York, pp. 311–325 (2009)
Xu, L.: STEP-NC in support of machining Process optimization. In: Xu, X., Nee, A.Y.C. (eds.) Advanced Design and Manufacturing Based on STEP, pp. 171–196. Springer, Heidelberg (2009)
Zhang, J.Y., Liang, S.Y., Yao, Y., Chen, J.M., Huang, J.L.: Evolutionary optimization of machining processes. International Journal of Manufacturing 17, 203–215 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ridwan, F., Xu, X.W., Liu, G. (2010). Generic Feed-Rate Optimization Based on a Predicted Power Force Model. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-10430-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10429-9
Online ISBN: 978-3-642-10430-5
eBook Packages: EngineeringEngineering (R0)