
Number of Journals | 34 |
Number of Issues | 1,306 |
Number of Articles | 9,428 |
Article View | 9,191,999 |
PDF Download | 5,622,621 |
Detecting a defective pin through the image processing in the production line | ||
مکانیک هوافضا | ||
Article 8, Volume 16, Issue 2 - Serial Number 60, June 2020, Pages 87-96 PDF (652.75 K) | ||
Document Type: Manufacturing and Production | ||
Authors | ||
Mostafa Sayahbadkhor1; Alireza Naddaf Oskouei* 2; Masood nasiri lakeh3 | ||
1Faculty of engineering | ||
2Imam Hossein Comprehensive University | ||
3mechanical engineering, Eyvanekey University | ||
Receive Date: 08 March 2019, Revise Date: 28 January 2020, Accept Date: 08 December 2019 | ||
Abstract | ||
Defective pieces detection is one of the processes which is done by workers during production. In this article, a plan was offered for increasing the speed of dimensional controlling of the pin type pieces, before consuming in production line. For this purpose, pin dimensions were determined in the laboratory by computer and the coordinate measuring machine. Also, the dimensions of input pins were recorded by cameras, before using in production. These two groups of data were compared by Matlab software. In the next step, the desired tolerance dimensions were given to the software and the pins with mismatch dimensions were specified. It should be noted that the difference in the output from the software and the measurements by the coordinate measuring device was 0.2 mm. This difference could be decreased by increasing the resolution of the camera. Due to the position of the camera at the top of the work screen, the position of the pins is not limited in angle and shape. In this paper, the time period of control of pin dimensions has significantly decreased in comparison to manual control by manpower. It is also possible to examine the dimensions of several pieces simultaneously. | ||
Keywords | ||
Image Processing; Coordinate Measuring Machine; Experimental Data; Control of Workpiece; Production process | ||
References | ||
| ||
Statistics Article View: 501 PDF Download: 314 |