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The Software Development Of Coaxiality Error Measuring Equipment Based On Non-diffracting Beam

Posted on:2012-11-19Degree:MasterType:Thesis
Country:ChinaCandidate:Z H YangFull Text:PDF
GTID:2218330362955907Subject:Precision instruments and machinery
Abstract/Summary:PDF Full Text Request
Concentricity error is positioning error, The tolerance zone is a reference axis for axis, with tolerance values for diameter cylinder. With the shafting alignment, precision machine tools, and large aircraft manufacturing in the rapid development of technology, There is the higher demand of Concentricity measurement. In order to be able to accurately measure the degree of long distance coaxial shaft, The paper proposes a non-diffracting beam benchmark coaxial measurement system.In this paper, coaxial measurement system is described in detail. This paper has developed a non-diffracting beam coaxial measurement system of the overall program, with CCD Detector, Standard measuring devices, Control System, mage processing software and so on. The paper analyzed the role and function of the software in the measurement system, And said that getting the non-diffracting image center is the key to Software systems and the whole measurement system. With the advantage of the non-diffracting beam, This paper analyzed the importance of system software, researched the characteristics of the image that the system collected, improved the software part of the measurement system.This paper analyzed the images that measurement system collected, This paper summarizes some important characteristics of the non-diffracting image images. It provides a great help for the follow-up studying of Image processing algorithms. This paper analyzed that there is the limitations and shortcomings with the Hough transform and local generalized symmetry transform algorithm applying to the image. This paper presents a fast method for high precision, with the section images features of Bessel image.This article describes the overall process of image processing to strike in the algorithm. First, The original image format conversion, convert to grayscale; Second, use the gravity method get the initial Center; Third, get and save extreme image in horizon and vertical; Fourth, Calculated from the average distance between the two arc and excluded the gross error of the extremum; Fifth, getting more accurate initial center; Sixth, getting the feature points of arc, fitting curve, Calculate the center coordinates.The paper shows the proposed algorithm processing speed, accuracy is higher. The experimental results that this error evaluation algorithm obtained compared with the old algorithm results, it shows the availability and accuracy of the system.
Keywords/Search Tags:Extreme method, Ellipse fitting, shafting alignment, Concentricity measurement, evaluated error, Bessel curve
PDF Full Text Request
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