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• [1] Chanda, L., Cripps, R. J. (2018). Characterising the effects of shape on tool path motion. International Journal of Machine Tools and Manufacture, 132, 17-35 https://doi.org/10.1016/j.ijmachtools.2018.04.005
• [2] Del Sol, I., Rivero, A., Salguero, J., Fernández-Vidal, S. R., Marcos, M. (2017). Tool-path effect on the geometric deviations in the machining of UNS A92024 aeronautic skins. Procedia Manufacturing, 13, 639-646. https://doi.org/10.1016/j.promfg.2017.09.134
• [3] Zhong, L., Bi, Q., Huang, N., Wang, Y. (2018). Dynamic accuracy evaluation for five-axis machine tools using S trajectory deviation based on R-test measurement. International Journal of Machine Tools and Manufacture, 125, 20-33. https://doi.org/10.1016/j.ijmachtools.2017.11.003
• [4] He, G., Sang, Y., Wang, H., Sun, G. (2018). A profile error evaluation method for freeform surface measured by sweep scanning on CMM. Precision Engineering. https://doi.org/10.1016/j.precisioneng.2018.12.008
• [5] Jia, Z. Y., Zhao, X. X., Ma, J. W., Chen, S. Y., Qin, F. Z., Liu, Z. (2019). Toolpath generation in sub-regional processing with constraint of constant scallop-height at boundary for complex curved surface. Precision Engineering, 55, 217-230. https://doi.org/10.1016/j.precisioneng.2018.09.009
• [6] Lazoglu, I., Manav, C., Murtezaoglu, Y. (2009). Tool path optimization for free form surface machining. CIRP annals, 58(1), 101-104. https://doi.org/10.1016/j.cirp.2009.03.054
• [7] Pezer, D. (2016). Efficiency of Tool Path Optimization Using Genetic Algorithm in Relation to the Optimization Achieved with the CAM Software. Procedia Engineering, 149, 374-379. https://doi.org/10.1016/j.proeng.2016.06.681
• [8] Ma, J. W., Jia, Z. Y., Song, D. N., Wang, F. J., Si, L. K. (2018). Machining error reduction by combining of feed-speed optimization and toolpath modification in high-speed machining for parts with rapidly varied geometric features. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 232(4), 557-571. https://doi.org/10.1177/0954406216688497
• [9] Zhang, X., Zhang, J., Zheng, X., Pang, B., Zhao, W. (2017). Tool orientation optimization of 5-axis ball-end milling based on an accurate cutter/workpiece engagement model. CIRP Journal of Manufacturing Science and Technology, 19, 106-116. http://dx.doi.org/10.1016/j.cirpj.2017.06.003
• [10] Yuen, A., Altintas, Y. (2016). Trajectory generation and control of a 9 axis CNC micromachining center. CIRP Annals, 65(1), 349-352. http://dx.doi.org/10.1016/j.cirp.2016.04.098
• [11] Yi, J., Chu, C. H., Kuo, C. L., Li, X., Gao, L. (2018). Optimized tool path planning for five-axis flank milling of ruled surfaces using geometric decomposition strategy and multi-population harmony search algorithm. Applied Soft Computing, 73, 547-561. https://doi.org/10.1016/j.asoc.2018.08.041
• [12] Tunc, L. T. (2019). Smart tool path generation for 5-axis ball-end milling of sculptured surfaces using process models. Robotics and Computer-Integrated Manufacturing, 56, 212-221. https://doi.org/10.1016/j.rcim.2018.10.002
• [13] Takasugi, K., Asakawa, N. (2018). Parameter-based spiral tool path generation for free-form surface machining. Precision Engineering, 52, 370-379. https://doi.org/10.1016/j.precisioneng.2018.01.013
• [14] Tajima, S., Sencer, B., Shamoto, E. (2018). Accurate interpolation of machining tool-paths based on FIR filtering. Precision Engineering, 52, 332-344. https://doi.org/10.1016/j.precisioneng.2018.01.016
• [15] Tulsyan, S., Altintas, Y. (2015). Local toolpath smoothing for five-axis machine tools. International Journal of Machine Tools and Manufacture, 96, 15-26. http://dx.doi.org/10.1016/j.ijmachtools.2015.04.014
• [16] Tunc, L. T., Budak, E., Bilgen, S., Zatarain, M. (2016). Process simulation integrated tool axis selection for 5-axis tool path generation. CIRP Annals, 65(1), 381-384. http://dx.doi.org/10.1016/j.cirp.2016.04.113
• [17] Yang, J., Chen, Y., Chen, Y., Zhang, D. (2015). A tool path generation and contour error estimation method for four-axis serial machines. Mechatronics, 31, 78-88. http://dx.doi.org/10.1016/j.mechatronics.2015.03.001
• [18] Uchiyama, N. (2013). Estimation of tool orientation contour errors for five-axis machining. Robotics and Computer-Integrated Manufacturing, 29(5), 271-277. http://dx.doi.org/10.1016/j.rcim.2013.01.002
• [19] Ma, J. W., Song, D. N., Jia, Z. Y., Hu, G. Q., Su, W. W., Si, L. K. (2018). Tool-path planning with constraint of cutting force fluctuation for curved surface machining. Precision Engineering, 51, 614-624. https://doi.org/10.1016/j.precisioneng.2017.11.002
• [20] Shahzadeh, A., Khosravi, A., Robinette, T., Nahavandi, S. (2018). Smooth path planning using biclothoid fillets for high speed CNC machines. International Journal of Machine Tools and Manufacture, 132, 36-49. https://doi.org/10.1016/j.ijmachtools.2018.04.003
• [21] Myeong-Woo Cho, Tae-il Seo, Hyuk-Dong Kwon .(2003). Integrated error compensation method using OMM system for profile milling operation . Journal of Materials Processing Technology. 136 88–99
• [22] Rao V.S., Rao P.V.M.. (2006) .Tool deflection compensation in peripheral milling of curved geometries . International Journal of Machine Tools & Manufacture. 46 (2006) 2036–2043 https://doi:10.1016/j.ijmachtools.2006.01.004
• [23] Hsu Y.Y., Wang S.S.(2007). A new compensation method for geometry errors of five-axis machine tools . International Journal of Machine Tools & Manufacture. 47 352–360 https://doi:10.1016/j.ijmachtools.2006.03.008
• [24] Rahou .M, Sebaa .F Cheikh .A .(2017). Study and Modeling of Machining Errors on the NC Machine Tool. International Journal of Mechanical Engineering and Robotics Research, pp. 54-57. https://doi: 10.18178/ijmerr.6.1.54-57
• [25] Rahou, M., Sebaa, F., Cheikh, A. Benmansour, S. A. (2017). Error compensation in machine tools NC. Global Journal of Computer Sciences: Theory and Research. 7(1), 24-30, www.gjcs.eu.