The system of blade's shape measuring

A. A. Gorbachev, V. Korotaev, Dmitri V. Apehtin
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引用次数: 5

Abstract

System that will allow visual and measuring control of blades is proposed. It based on triangulation method of measurement. This method implies using of elements described below: a receiving unit, source of structured light, processing and control unit, the monitor and power supply unit. Geometrical characteristics of the system are calculated. As a result we got numbers of receiving units and sources of structured light needed to monitor blade along its entire length. Theoretical error of system measurement is calculated. It depends on distance to the object, the base between receives unit and sources of structured light, resolution and physical size of image receive. Surface of blade is not flat this fact entails changing distance from object to receive unit. So the error of measurement will be different. The interval for researching was chosen from 90 to 130 mm. Error of measurement have steady upward trend from 0,08 to 0,017 mm all period between chosen distances. The physical model of control method is developed. As a result of its working picture of illuminated metal object was obtained. The program written in MatLab processes experimental picture, find lines of structure light and calculate dislocations of it. Then use this information to make a three-dimensional model of object.
叶片形状测量系统
提出了一种能够实现叶片视觉控制和测量控制的系统。它基于三角测量法进行测量。该方法意味着使用如下所述的元件:接收单元、结构光源、处理和控制单元、监视器和电源单元。计算了系统的几何特性。因此,我们得到了一些接收单元和结构光源,需要沿着整个长度监测叶片。计算了系统测量的理论误差。它取决于与物体的距离,接收单元与结构光源之间的基础,图像接收的分辨率和物理尺寸。叶片表面不是平坦的,这就需要改变从物体到接收单元的距离。所以测量误差是不同的。研究区间为90 ~ 130 mm。在所选距离范围内,测量误差在0.08 ~ 0.017 mm范围内呈稳定上升趋势。建立了控制方法的物理模型。结果得到了被照射金属物体的工作图像。用MatLab编写的程序对实验图像进行处理,找出结构光的线并计算其位错。然后利用这些信息制作一个物体的三维模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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