Abstract

A new method for measuring the dimensional accuracy of the cylindrical spun parts based on machine vision was proposed to overcome the artificial deviation and low efficiency of manual measurement. The image acquisition system of machine vision was built up. The methods of image processing and edge extraction of cylindrical spun parts were studied. The straightness and ovality of the cylindrical spun parts were obtained by the proposed new method. The results showed that the edge contour of the cylindrical spun parts extracted by Canny edge detector is better than Sobel and Prewitt edge detector. The dimensional accuracy of the cylindrical spun parts can be obtained accurately by the proposed measurement method based on machine vision. The relative errors of the straightness and ovality between the machine vision and the manual measurement are less than 10%.

Highlights

  • The cylindrical spun parts are one of the most important structural components which are widely used in aviation, aerospace, automotive, defense, energy and electronics industries [1]

  • The measurement method of dimensional accuracy based on machine vision can realize the online measurement, which lay the foundation for the intelligentialize of spinning technology

  • The contour line of the spun part is obtained by linear fitting of the contour points based on least square method, and the distance from each point to the fitting straight line is calculated as shown in Eq.5. es of the cylindrical spun part equals to the difference between the maximum and minimum of the distance

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Summary

Introduction

The cylindrical spun parts are one of the most important structural components which are widely used in aviation, aerospace, automotive, defense, energy and electronics industries [1]. The dimensional accuracy of the spun parts is usually obtained by manual measurement. The artificial deviation is existed and the efficiency is low if the manual measurement was used. No literature was reported about the dimensional accuracy measurement of spun parts based on machine vision. The measurement method of dimensional accuracy based on machine vision can realize the online measurement, which lay the foundation for the intelligentialize of spinning technology. A new measurement method of dimensional accuracy for cylindrical spun part based on machine vision was developed and experimentally tested. The image acquisition system of machine vision for cylindrical spun parts was built up and the image processing method was investigated in details. The straightness and ovality of the cylindrical spun part were automatically calculated

Building up of the machine vision system
Image preprocessing
Edge extraction
Straightness calculation
Ovality calculation
Findings
Summary
Full Text
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