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Modeling and identification of cutting forces in milling of Carbon Fibre Reinforced Polymers

机译:碳纤维增强聚合物研磨中切割力的建模与识别

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摘要

Mechanistic cutting force models are commonly used to compute milling forces in terms of the machining parameters such as feedrate, axial, and radial depths of cut. In isotropic (e.g. metallic) materials, the parameters of mechanistic models are treated as constants which which are identified using well-established experimental procedures. Mechanics of chip formation in anisotropic Carbon Fibre Reinforced Polymers (CFRP) varies depending on fibre cutting angle, which continuously changes as the tool rotates in milling operations. To address this variation, a mechanistic model with parameters that depend on fibre cutting angle is proposed. Also, a new experimental method is presented to identify the parameters of the proposed model. The model parameters are assumed to be periodic functions of fibre cutting angle, and the Fourier coefficients of the periodic function are identified from the milling forces measured during a set of milling operations at various feedrates and fibre orientations. The experimental validation of the presented force modelling approach confirms its accuracy to predict forces in milling of Unidirectional as well as Multi-directional CFRP.
机译:机械切割力模型通常用于计算诸如饲料,轴向和径向深度的加工参数的铣削力。在各向同性(例如金属)材料中,机械模型的参数被视为使用良好的实验程序鉴定的常数。各向异性碳纤维增强聚合物(CFRP)中芯片形成的机制根据纤维切割角而变化,随着工具在研磨操作中旋转而连续变化。为了解决这种变化,提出了一种依赖于光纤切割角的参数的机制模型。此外,提出了一种新的实验方法来识别所提出的模型的参数。假设模型参数是光纤切割角的周期性函数,并且周期性函数的傅里叶系数由在各种馈送和纤维方向上的一组铣削操作期间测量的铣削力识别。所提出的力建模方法的实验验证证实了其准确性,以预测铣削单向和多向CFRP的铣削力。

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