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DYNAMIC CUTTING PROCESS IDENTIFICATION BY DYNAMIC DATA SYSTEM (DDS) MODELS.

机译:通过动态数据系统(DDS)模型进行动态切割过程标识。

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摘要

Anticipating the stochastic nature of the cutting process and the double modulation principle, Dynamic Data System methodology was employed for the dynamic cutting process identification model. Modified Autoregressive Moving Average Vector (MARMAV) modelling approach was chosen for the determination of the dynamic cutting process model. Transfer function of the dynamic cutting processes in the form of the dynamic cutting force coefficients (DCFC) were obtained from the MARMAV models.;The first method considers the cutting process with two inputs, inner and outer modulations, one output, dynamic force component. Consequently, this process has to be handled as a three variable system in relation to the MARMAV modeling approach which leads to the inner and outer modulation dynamics identification. On the other hand, the second method sees the cutting process as a one-input one-output process consisting of the inner modulation and dynamic force component. Accordingly, the MARMAV model uses the bivariate concept for model fitting which gives inner modulation dynamics only. In the latter case, the outer modulation dynamics effect on the cutting process is determined by analyzing the disturbance noise dynamics under the same assumptions.;The identification of the cutting process dynamics was carried out using the actual data collected from an orthogonal turning process of a tubular workpiece under bandlimited white noise excitation. Besides, experimental and analytical works for the two existing typical methods, the shear plane method and the double modulation method, has been carried to determine the dynamic cutting force coefficients.;For comparison purposes, DCFC's in frequency domain were determined by the proposed two methods, as well as by the other two classical methods. It has been shown that the proposed methods are capable of representing the cutting process dynamics with good accuracy.;For the determination of the dynamic cutting force coefficients, two different methods, were proposed according to the input conditions of the cutting process.;Further extension of the proposed method to the non-orthogonal cutting process for which the theoretical work has been given, assures that the proposed method will offer a basis for practical solutions of the general three-dimensional cutting dynamics problem.
机译:考虑到切割过程的随机性和双重调制原理,将动态数据系统方法用于动态切割过程识别模型。选择改进的自回归移动平均矢量(MARMAV)建模方法来确定动态切削过程模型。从MARMAV模型中获得了动态切削力系数(DCFC)形式的动态切削过程的传递函数。第一种方法考虑了具有两个输入的切削过程,即内部和外部调制,一个输出,动态力分量。因此,该过程必须作为与MARMAV建模方法相关的三变量系统进行处理,这会导致内部和外部调制动力学识别。另一方面,第二种方法将切割过程视为由内部调制和动态力分量组成的单输入单输出过程。因此,MARMAV模型使用双变量概念进行模型拟合,从而仅给出内部调制动力学。在后一种情况下,外部调制动力学对切削过程的影响是通过在相同的假设下分析干扰噪声动力学来确定的。切削过程动力学的识别是使用从一个正交车削过程中收集的实际数据进行的。带限白噪声激发下的管状工件。此外,还针对剪切面法和双重调制法这两种现有的典型方法进行了实验和分析工作,以确定动态切削力系数。为了进行比较,通过提出的两种方法确定了频域中的DCFC。 ,以及其他两种经典方法。结果表明,所提出的方法能够较好地表示切削过程的动力学特性。为了确定动态切削力系数,根据切削过程的输入条件,提出了两种不同的方法。该方法相对于已经进行了理论工作的非正交切削过程,确保了该方法将为一般的三维切削动力学问题的实际解决方案提供基础。

著录项

  • 作者

    AHN, TAI YOUNG.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 1982
  • 页码 304 p.
  • 总页数 304
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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