Abstract
Prediction of cutting force plays an essentially important role in the selection of optimum cutting parameters and investigation of cutting mechanisms. In this work, an extended octree is presented to represent the workpiece and tool swept volume to acquire the cutting depth and cutting width with high precision so that the cutting forces can be predicted precisely. The algorithm of acquisition of cutting width and cutting depth in flat-end milling is described. A framework of cutting force prediction based on virtual machining was established and a demonstration system was developed consequently. The simulated values of cutting width and cutting depth show good consistency with the theoretically calculated data.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Shaw MC (1984) Metal cutting principles. Oxford University Press, Oxford
Li JG, Zhao H, Yao YX, Liu CQ (2007) Off-line optimization on NC machining based on virtual machining. Int J Adv Manuf Technol (in press). DOI 10.1007/s00170-006-0915-6
Li ZZ, Zhang ZH, Zheng L (2004) Feedrate optimization for variant milling process based on cutting force prediction. Int J Adv Manuf Technol 24(7–8):541–552
Zhang C, Zhou LS, Yu ZY, An LL, Zhou RY (2005) Multi-objective and varying parameter optimization of machining parameters based on NC simulation data. J Comput Aided Des Comput Graphics 17(5):1039–1044
Karunakaran KP, Vivekananda Shanmuganathan P, Gupa N, Issac M (2000) Swept volume of a generic cutter. P I Mech Eng B 214(10):915–939
Park JW, Shin YH, Chung YC (2005) Hybrid cutting simulation via discrete vector model. Comput Aided Des 37:419–430
Jang D, Kim K, Jung J (2000) Voxel-based virtual multi-axis machining. Int J Adv Manuf Technol 16:709–713
Li ZZ, Zheng M, Zheng L (2003) A solid model-based milling process simulation and optimization system integrated with CAD/CAM. J Mater Process Technol 138:513–517
Fussell BK, Jerard RB, Hemmett JG (2001) Robust feedrate selection for 3-axis NC machining using discrete models. J Manuf Sci Eng 123:214–224
Jerard RB, Fussell BK, Ercan MT (2001) On-line optimization of cutting conditions for NC machining. 2001 NSF design, manufacturing & industrial innovation research conference, Tampa, Florida, USA, pp 1–11
Roy U, Xu Y (1998) 3-D object decomposition with extended octree model and its application in geometric simulation of NC machining. Robot Comput Integr Manuf 14:317–327
Yuan M, Yu Y, Wang XC (2001) Geometry simulation of EDM–NC machining based on blending octree model. J Mod Mach Tools 9:9–12
Jing HJ, Yao YX, Li JG, Hu JY (2004) Method of determining integration limit for cutting force model of flat end milling process. J Tool Technol 38:11–13
Yoon MC, Kim YG (2004) Cutting dynamic force modelling of endmilling operation. J Mater Process Technol 155–156:1383–1389
Jing HJ (2005) Research on virtual machining technology for off-line error compensation. Doctoral Dissertation, Harbin Institute of Technology
Kennedy J, Eberhart RC (1995) Particle swarm optimization. Proceedings of the 1995 IEEE international conference on neural networks, Perth, Australia, pp 1942–1948
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, J.G., Yao, Y.X., Xia, P.J. et al. Extended octree for cutting force prediction. Int J Adv Manuf Technol 39, 866–873 (2008). https://doi.org/10.1007/s00170-007-1277-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-007-1277-4