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ROBUST EVALUATION OF DATUMS FOR FEATURES OF SIZE USING A SEQUENTIAL LINEAR PROGRAMMING APPROACH

机译:使用顺序线性规划方法对大小特征的基准稳健评估

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ANSI (1994) defines datums as any theoretically exact point, axis or a plane from which location and geometric characters of features of a part are established. Currently these datums are established using minimization of least square error technique resulting in an approximate estimation. This leads to production and acceptance of parts that deviate from the specification, hence affecting the functionality of the part. In this paper we present an algorithm for evaluating the datums of features of size under regardless of feature size (RFS) material condition. The non-linear optimization problem of datum evaluation has been reduced to a sequence of linear programs. An iterative procedure has been proposed to arrive at a local optimal solution starting with the least square value. As this procedure involves solving a sequence of linear programs, a faster, robust and near optimal solution is guaranteed. Examples and results are provided to illustrate the effectiveness of the procedure.
机译:ANSI(1994)将基准定义为任何理论上精确的点,轴或飞机,从中建立了部分的特征的位置和几何特征。目前,使用最小化最小的误差技术来建立这些基准,从而产生近似估计。这导致生产和接受偏离规范的零件,因此影响部分的功能。在本文中,我们介绍了一种用于评估大小的特征的数据的算法,无论特征尺寸(RFS)材料条件如何。基准评估的非线性优化问题已减少到一系列线性程序。已经提出了一种迭代程序来达到以最小二乘值开始的局部最佳解决方案。由于此过程涉及解决一系列线性程序,保证更快,稳健,近的最佳解决方案。提供了实施例和结果以说明程序的有效性。

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