MATEC Web Conf.
Volume 167, 20182018 3rd International Conference on Mechanical, Manufacturing, Modeling and Mechatronics (IC4M 2018) – 2018 3rd International Conference on Design, Engineering and Science (ICDES 2018)
|Number of page(s)||6|
|Section||Engineering Modeling and Mechatronics|
|Published online||23 April 2018|
Research on the Dimensional Accuracy Measurement Method of Cylindrical Spun Parts Based on Machine Vision
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
a Corresponding author: firstname.lastname@example.org
b Corresponding author: email@example.com
c Corresponding author: firstname.lastname@example.org
d Corresponding author: email@example.com
e Corresponding author: firstname.lastname@example.org
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%.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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