Research on Precise Modeling of CFRP Milling Force Considering Bottom Edge of Tool
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摘要: 针对碳纤维复合材料(CFRP)铣削提出了一种切削力精确建模方法,即考虑刀具底刃切削作用的铣削力机械模型,通过实验识别底刃和侧刃的切削力并分析了切削力变化规律,建立了切削力系数关于瞬时切削厚度、纤维切削角及切削速度的BP神经网络模型,进一步实现了对铣削力的预测。单向板和多向板的铣削验证实验表明考虑刀具底刃因素可以提高切削力预测的准确性,同时也验证了BP神经网络在CFRP切削力建模中的可行性。Abstract: A mechanistic based cutting force model was proposed for predicting forces in milling of carbon fiber reinforced polymer composite (CFRP), in which the effects of the cutting edges on the tool periphery and bottom were both considered. Through experiments, the force contributions by peripheral edges and bottom edges were recognized and analyzed. The influences of the instantaneous chip thickness, fiber cutting angle and cutting speed on the specific cutting forces were recognized and modeled based on BP neural network. The proposed approach shows better agreement with the experimental. The result shows the prediction accuracy of force can be improved when the bottom of cutter blade was incorporated in the model. The feasibility of BP neural network for cutting force modeling was also verified.
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[1] Puw H Y, Hocheng H. Milling force prediction for fiber reinforced thermoplastics[J]. American Society of Mechanical Engineers, 1993,45(10):97-108 [2] Sheikh-Ahmad J Y. Machining of polymer composites[M]. New York:Springer, 2009 [3] Sheikh-Ahmad J, Twomey J, Kalla D, et al. Multiple regression and committee neural network force prediction models in milling FRP[J]. Machining Science and Technology, 2007,11(3):391-412 [4] Kalla D, Sheikh-Ahmad J, Twomey J. Prediction of cutting forces in helical end milling fiber reinforced polymers[J]. International Journal of Machine Tools and Manufacture, 2010,50(10):882-891 [5] Wan M, Zhang W H, Yang Y. Phase width analysis of cutting forces considering bottom edge cutting and cutter runout calibration in flat end milling of titanium alloy[J]. Journal of Materials Processing Technology, 2011,211(11):1852-1863 [6] Dang J W, Zhang W H, Yang Y, et al. Cutting force modeling for flat end milling including bottom edge cutting effect[J]. International Journal of Machine Tools and Manufacture, 2010,50(11):986-997 [7] Martellotti M E. An analysis of the milling process[J]. Transactions of the ASME, 1941,63(8):677-700 [8] Budak E, Altintas Y, Armarego E J A. Prediction of milling force coefficients from orthogonal cutting data[J]. Journal of Manufacturing Science and Engineering, 1996,118(2):216-224 [9] Altintas Y. Manufacturing automation[M]. Cambridge:Cambridge University Press, 2000 [10] Karpat Y, Bahtiyar O, Deĝer B. Mechanistic force modeling for milling of unidirectional carbon fiber reinforced polymer laminates[J]. International Journal of Machine Tools and Manufacture, 2012,56:79-93 [11] Karpat Y, Polat N. Mechanistic force modeling for milling of carbon fiber reinforced polymers with double helix tools[J]. CIRP Annals, 2013,62(1):95-98 [12] Henerichs M, Voβ R, Kuster F, et al. Machining of carbon fiber reinforced plastics:influence of tool geometry and fiber orientation on the machining forces[J]. CIRP Journal of Manufacturing Science and Technology, 2015,9:136-145 [13] Wang D H, Ramulu M, Arola D. Orthogonal cutting mechanisms of graphite/epoxy composite. Part I:unidirectional laminate[J]. International Journal of Machine Tools and Manufacture, 1995,35(12):1623-1638 [14] 王刚,万敏,刘虎,等.粒子群优化模糊系统的铣削力建模方法[J].机械工程学报,2011,47(13):123-130 Wang G, Wan M, Liu H, et al. Modeling of milling force by using fuzzy system optimized by particle swarm algorithm[J]. Journal of Mechanical Engineering, 2011,47(13):123-130(in Chinese) [15] 李伟,何鹏举,杨恒,等.基于粗糙集和改进遗传算法优化BP神经网络的算法研究[J].西北工业大学学报,2012,30(4):;01-606 Li W, He P J, Yang H, et al. An effective backpropagation algorithm for optimizing BP neural network based on rough set and modified genetic algorithm[J]. Journal of Northwestern Polytechnical University, 2012,30(4):;01-606(in Chinese)
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