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Profile measurement via circle-line spline fitting

机译:通过圆线样条拟合进行轮廓测量

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摘要

For quality control purposes, it is necessary to measure an object's dimensions, and compare them with a CAD model; this is effectively a reverse engineering task. The specific example addressed in this paper is the measurement and modelling of cold rolled steel profiles. The profile of the steel tubing can be measured with an arrangement of light sectioning heads, whereby the measurement data must be modelled to extract the measured dimensions, e.g., radii, angles, etc. The manufactured tubing is designed such that its profile is composed of only straight lines and circular arcs which are mutually tangent at each vertex. In this paper we develop an algorithm for fitting such a ldquocircle-line splinerdquo by orthogonal distance least squares. We derive the tangency constraints for such a spline and show that the optimization can be performed with constrained Gauss-Newton optimization. Through numerical testing we show that the algorithm effectively models the profile dimensions, and is stable in the presence of measurement noise.
机译:为了进行质量控制,必须测量对象的尺寸,并将其与CAD模型进行比较;这实际上是一项反向工程任务。本文讨论的特定示例是冷轧钢型材的测量和建模。钢管的轮廓可以通过布置轻型切片头来测量,因此必须对测量数据进行建模以提取测量的尺寸,例如半径,角度等。制造的钢管的设计应使其轮廓由以下组成:仅在每个顶点相互切线的直线和圆弧。在本文中,我们开发了一种通过正交距离最小二乘拟合这种ldquocircle-line splinerdquo的算法。我们推导了此类样条的相切约束,并表明可以通过约束高斯-牛顿优化来执行优化。通过数值测试,我们证明了该算法有效地模拟了轮廓尺寸,并且在存在测量噪声的情况下是稳定的。

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