An Enhancement of Contour Welding Precision Using Image Processing

碩士 === 國立臺北科技大學 === 電能轉換與控制產業碩士專班 === 102 === In this study, image processing technology is used to record images of the seam and the welding track is then designed to follow the contour of the seam. The track data is then transmitted to the server XY Table for emulation verifications to confirm the...

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Main Authors: Song-Di Lin, 林松締
Other Authors: Kuang-Yow Lian
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/2478qc
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spelling ndltd-TW-102TIT057750052019-05-15T21:42:06Z http://ndltd.ncl.edu.tw/handle/2478qc An Enhancement of Contour Welding Precision Using Image Processing 利用影像處理改進焊道循邊控制精度 Song-Di Lin 林松締 碩士 國立臺北科技大學 電能轉換與控制產業碩士專班 102 In this study, image processing technology is used to record images of the seam and the welding track is then designed to follow the contour of the seam. The track data is then transmitted to the server XY Table for emulation verifications to confirm the precision and absence of error in the welding contour. Throughout the course of the experiments, it was discovered that inadequate image resolution lowered the precision of the weld run, thus a variable-focus lens, which is adjustable and provides high resolution, and back-lighting was used to capture the image. The shooting was conducted in a dark room facility that was built in the lab to prevent interference from peripheral light sources. An experimental ensemble like this enables the team to take clearly identifiable images of the seam between objects. In the experiment, objects tested were specifically shapes with straight-lined and partial straight-lined cuts whose lengths reach up to multiples of ten centimeters. During image processing, NI Vision first desaturated colored images to gray-scale, producing 8-bitimages of black or white gradients. Then the seam widths between solids were measured via image processing to see if the measurements have exceeded the expected values. Results were then displayed on the PC screen. The results available (here) were collected over a long period of time by analyzing seam widths of defective products, inducing maximum and minimum welding values suitable for the measured seam width of each image. Whether a product is good or defective can be determined with this data. During every process of capturing an image the Pattern Matching step is included to diagnose any displacement. It is followed by generating the welding track of the contour on the image. Due to the fact that no welding machine has been designed for this specific topic, the team makes use of XY Table with synchronized dual-axis module for welding track tests. First of all, mount a felt tip pen Y Axis hand, place the tested object on the platform and then the XY Table will draw the welding track on the seam of the object image according to the welding track that has been displayed on the PC so that track simulation can be verified.This study successfully reached its target of designing a system that can decrease the time spent adjusting fixed object mechanism and the welding blowpipe. Also, the system can raise welding quality while lower tendencies for defects. Kuang-Yow Lian 練光祐 2014 學位論文 ; thesis 65 zh-TW
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description 碩士 === 國立臺北科技大學 === 電能轉換與控制產業碩士專班 === 102 === In this study, image processing technology is used to record images of the seam and the welding track is then designed to follow the contour of the seam. The track data is then transmitted to the server XY Table for emulation verifications to confirm the precision and absence of error in the welding contour. Throughout the course of the experiments, it was discovered that inadequate image resolution lowered the precision of the weld run, thus a variable-focus lens, which is adjustable and provides high resolution, and back-lighting was used to capture the image. The shooting was conducted in a dark room facility that was built in the lab to prevent interference from peripheral light sources. An experimental ensemble like this enables the team to take clearly identifiable images of the seam between objects. In the experiment, objects tested were specifically shapes with straight-lined and partial straight-lined cuts whose lengths reach up to multiples of ten centimeters. During image processing, NI Vision first desaturated colored images to gray-scale, producing 8-bitimages of black or white gradients. Then the seam widths between solids were measured via image processing to see if the measurements have exceeded the expected values. Results were then displayed on the PC screen. The results available (here) were collected over a long period of time by analyzing seam widths of defective products, inducing maximum and minimum welding values suitable for the measured seam width of each image. Whether a product is good or defective can be determined with this data. During every process of capturing an image the Pattern Matching step is included to diagnose any displacement. It is followed by generating the welding track of the contour on the image. Due to the fact that no welding machine has been designed for this specific topic, the team makes use of XY Table with synchronized dual-axis module for welding track tests. First of all, mount a felt tip pen Y Axis hand, place the tested object on the platform and then the XY Table will draw the welding track on the seam of the object image according to the welding track that has been displayed on the PC so that track simulation can be verified.This study successfully reached its target of designing a system that can decrease the time spent adjusting fixed object mechanism and the welding blowpipe. Also, the system can raise welding quality while lower tendencies for defects.
author2 Kuang-Yow Lian
author_facet Kuang-Yow Lian
Song-Di Lin
林松締
author Song-Di Lin
林松締
spellingShingle Song-Di Lin
林松締
An Enhancement of Contour Welding Precision Using Image Processing
author_sort Song-Di Lin
title An Enhancement of Contour Welding Precision Using Image Processing
title_short An Enhancement of Contour Welding Precision Using Image Processing
title_full An Enhancement of Contour Welding Precision Using Image Processing
title_fullStr An Enhancement of Contour Welding Precision Using Image Processing
title_full_unstemmed An Enhancement of Contour Welding Precision Using Image Processing
title_sort enhancement of contour welding precision using image processing
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/2478qc
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