Crack Detection and Geometry Measurements using Digital Image Processing
Digital image processing (DIP), is the use of a digital computer to process digital images through an algorithm. In this work DIP used to perform crack/defect Detection and geometry measurements in terms of angle, length, and width by building a MATLAB code. In this research, the test of tensile we...
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| Format: | Article |
| Language: | English |
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University of Diyala
2021-03-01
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| Series: | Diyala Journal of Engineering Sciences |
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| Online Access: | https://djes.info/index.php/djes/article/view/803 |
| _version_ | 1811183149587103744 |
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| author | Dhia A. Alazawi Zaid S. Hammoudi Mohanad N. Mohammed |
| author_facet | Dhia A. Alazawi Zaid S. Hammoudi Mohanad N. Mohammed |
| author_sort | Dhia A. Alazawi |
| collection | DOAJ |
| description |
Digital image processing (DIP), is the use of a digital computer to process digital images through an algorithm. In this work DIP used to perform crack/defect Detection and geometry measurements in terms of angle, length, and width by building a MATLAB code. In this research, the test of tensile were applied on two flat samples, the two flat samples are painted in a speckle pattern on the tested surface to use DIP features. The DIP gives a low-cost optical, and an appropriate technique to detect crack/defect as well as geometry measurements with the load increment in terms of angle, length and width without any contact with the tested surfaces. The tests directed for both of flat Aluminum alloy and Copper alloy specimens. In order to guarantee the efficiency of the planned DIP systems, the comparison is considered between the test results of this technique with the measurements gained by actual physical by using calibrated digital vernier calliper (IP 54) to measure the length of the crack with 0-300 mm range and 0.01 mm resolution. The DIP obtained percentage of accuracy varies from (97) % to (99) % by comparison with the measurements gained by actual physical way.
Conclusions
• Tensile tests have been carried out for two cracked/defected specimens. The tests applied for both flat Aluminum alloy and Copper alloy plates. The DIP percentage of accuracy differs from (97) % to (99) % by comparing with the actual physical measurements.
• The DIP technique can be developed in Structural Research laboratories, and make it possible to perform and work with the fatigue testing and/or crack propagation without human surveillance.
• The measuring of crack geometry can be easily used by the developed program, it just needs an operator who is familiar with this kind of testing.
• DIP had successfully used in the determination of the actual crack position, and it allows us to measure the actual length, width, and angle of the crack/defect.
• For quick and reliable surface defect inspection, the DIP program for crack detection is effective technique using instead of the slower traditional human inspection method. Automatic crack detection is very useful for Non-destructive testing (NDT). By manual investigation, it is hard to evaluate deterioration accurately [24]. The automatic crack detection can be implemented using some of the NDT procedures like (i) Radiographic, (ii) Ultrasonic (UT), (iii) Laser, and (iv) Infrared and thermal.
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| first_indexed | 2024-04-11T09:41:55Z |
| format | Article |
| id | doaj.art-406d01762911461ebd6eb8981dfb9598 |
| institution | Directory Open Access Journal |
| issn | 1999-8716 2616-6909 |
| language | English |
| last_indexed | 2024-04-11T09:41:55Z |
| publishDate | 2021-03-01 |
| publisher | University of Diyala |
| record_format | Article |
| series | Diyala Journal of Engineering Sciences |
| spelling | doaj.art-406d01762911461ebd6eb8981dfb95982022-12-22T04:31:10ZengUniversity of DiyalaDiyala Journal of Engineering Sciences1999-87162616-69092021-03-0114110.24237/djes.2021.14102Crack Detection and Geometry Measurements using Digital Image ProcessingDhia A. Alazawi0Zaid S. Hammoudi1Mohanad N. Mohammed2Department of Mechanical Engineering, College of Engineering, University of DiyalaDepartment of Mechanical Engineering, College of Engineering, University of DiyalaDepartment of Computer Engineering, College of Engineering, University of Diyala Digital image processing (DIP), is the use of a digital computer to process digital images through an algorithm. In this work DIP used to perform crack/defect Detection and geometry measurements in terms of angle, length, and width by building a MATLAB code. In this research, the test of tensile were applied on two flat samples, the two flat samples are painted in a speckle pattern on the tested surface to use DIP features. The DIP gives a low-cost optical, and an appropriate technique to detect crack/defect as well as geometry measurements with the load increment in terms of angle, length and width without any contact with the tested surfaces. The tests directed for both of flat Aluminum alloy and Copper alloy specimens. In order to guarantee the efficiency of the planned DIP systems, the comparison is considered between the test results of this technique with the measurements gained by actual physical by using calibrated digital vernier calliper (IP 54) to measure the length of the crack with 0-300 mm range and 0.01 mm resolution. The DIP obtained percentage of accuracy varies from (97) % to (99) % by comparison with the measurements gained by actual physical way. Conclusions • Tensile tests have been carried out for two cracked/defected specimens. The tests applied for both flat Aluminum alloy and Copper alloy plates. The DIP percentage of accuracy differs from (97) % to (99) % by comparing with the actual physical measurements. • The DIP technique can be developed in Structural Research laboratories, and make it possible to perform and work with the fatigue testing and/or crack propagation without human surveillance. • The measuring of crack geometry can be easily used by the developed program, it just needs an operator who is familiar with this kind of testing. • DIP had successfully used in the determination of the actual crack position, and it allows us to measure the actual length, width, and angle of the crack/defect. • For quick and reliable surface defect inspection, the DIP program for crack detection is effective technique using instead of the slower traditional human inspection method. Automatic crack detection is very useful for Non-destructive testing (NDT). By manual investigation, it is hard to evaluate deterioration accurately [24]. The automatic crack detection can be implemented using some of the NDT procedures like (i) Radiographic, (ii) Ultrasonic (UT), (iii) Laser, and (iv) Infrared and thermal. https://djes.info/index.php/djes/article/view/803Crack/Defect detectionDigital image processingCrack/Defect geometry measurements;Aluminum plateCopper plate |
| spellingShingle | Dhia A. Alazawi Zaid S. Hammoudi Mohanad N. Mohammed Crack Detection and Geometry Measurements using Digital Image Processing Diyala Journal of Engineering Sciences Crack/Defect detection Digital image processing Crack/Defect geometry measurements; Aluminum plate Copper plate |
| title | Crack Detection and Geometry Measurements using Digital Image Processing |
| title_full | Crack Detection and Geometry Measurements using Digital Image Processing |
| title_fullStr | Crack Detection and Geometry Measurements using Digital Image Processing |
| title_full_unstemmed | Crack Detection and Geometry Measurements using Digital Image Processing |
| title_short | Crack Detection and Geometry Measurements using Digital Image Processing |
| title_sort | crack detection and geometry measurements using digital image processing |
| topic | Crack/Defect detection Digital image processing Crack/Defect geometry measurements; Aluminum plate Copper plate |
| url | https://djes.info/index.php/djes/article/view/803 |
| work_keys_str_mv | AT dhiaaalazawi crackdetectionandgeometrymeasurementsusingdigitalimageprocessing AT zaidshammoudi crackdetectionandgeometrymeasurementsusingdigitalimageprocessing AT mohanadnmohammed crackdetectionandgeometrymeasurementsusingdigitalimageprocessing |