Processing noisy cutting force data for reliable calibration of a ball-end milling force model
Processing noisy cutting force data for reliable calibration of a ball-end milling force model
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DOI：
10.1016/j.measurement.2005.06.001
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发表时间：
2005-09
期刊：
影响因子：
5.6
通讯作者：
A. Azeem;Hsi-Yung Feng;P. Orban
中科院分区：
文献类型：
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作者：
A. Azeem;Hsi-Yung Feng;P. Orban
机床振动是机械加工中常见的现象，常常会引起切削力测量的噪声。如果经验切削力模型直接用于确定经验模型参数，则这些噪声测量数据会影响经验切削力模型的标定精度。本文研究了利用噪声切削力数据对球头铣削力模型进行可靠标定的问题。首先用多项式函数拟合切削力信号的相关段，以减小信号波动。然后用迭代两步法求解切削力模型的经验参数。本文提出并实现了两种具有鲜明特点的求解方法：正向求解方法和反向求解方法。前者是一种直接求解方法，适用于噪声水平相对较低的切削力数据。后一种方法虽然是一种近似求解方法，但对力数据中增加的噪声幅度具有更强的容忍度。论证和评价了这两种求解方法在从有噪声的切削力数据中可靠地确定球头铣削力模型的有效经验参数的适用性。
Machine tool vibrations are common in machining and often result in noisy cutting force measurement. These noisy measurement data compromise the calibration accuracy of empirical cutting force models if they are directly used to determine the empirical model parameters. In this paper, reliable calibration of a ball-end milling force model from noisy cutting force data is addressed. The pertinent section of a noisy cutting force signal measured from a model calibration test cut is first fitted to a polynomial function to reduce signal fluctuation. The empirical parameters of the cutting force model are then solved using an iterative two-stage numerical procedure. Two solution methods with distinct characteristics have been developed and implemented in the present work: the forward and the backward solution method. The former method is a direct solution method and applicable to cutting force data with relatively low levels of noise. The latter method, although an approximate solution method, is more tolerant to the increased noise magnitude in the force data. The applicability of these two solution methods for reliably determining valid empirical parameters of the ball-end milling force model from noisy cutting force data was demonstrated and evaluated.