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Iranian Journal of Chemistry and Chemical Engineering، جلد ۴۴، شماره ۶، صفحات ۱۷۲۴-۱۷۵۶
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژههای فارسی مقاله |
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| عنوان انگلیسی |
Investigation and Characterization of Pipe Defects and Techniques, and Challenges Toward the Protection of Environmental Protection |
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| چکیده انگلیسی مقاله |
Pipes have been used for many years to transport fluids safely. Historically, pipes have been used in many different ways; however, many internal and external parameters affect the use of pipes, such as leakage, chemical corrosion, fatigue, and sediment. Additionally, pipe environments and soil components, such as humidity, can cause problems. All these factors are sources of risks that affect the installation and maintenance costs of the pipelines. This paper provides pipelines, users with
a comprehensive description of pipe defects, their type, and their potential cause, which can be used as a reliable reference to recognize and predict pipe defects and make proper arrangements to avoid catastrophic incidents. Therefore, pipelines and their inspection methods are examined from multiple perspectives, including material composition, design, applications, and overall performance. Besides, pipelines, defect causes visual changes, making visual inspection methods valuable to the manufacturing sector and inspectors. However, in all inspections, the pipe length, size, internal diameter, location, and toxic environment around the pipes are the main limitations of assessments. To improve defect recognition, completely categorized defect types, shapes, and pipelines, defect diagnostic systems are introduced and compared to the concept of defect shape and diagnostic platforms. As stated in this review, steel, concrete, and PVC are the most commonly used pipeline materials, with welding defects, cracks, and corrosion as major concerns. Vision-based robotic inspection, AI-driven analytics, and advanced modeling improve defect detection and predictive maintenance. Integrating these technologies enhances pipelines, monitoring, safety, and longevity. Additionally, vision-based inspection systems can leverage defect categorization to develop a standardized image database, expanding the capabilities of existing systems. Finally, a review of recent and essential analytical research and some areas that still need more work are presented. In particular, they can offer researchers opportunities for their future research. |
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| کلیدواژههای انگلیسی مقاله |
Pipelines,inspection,image processing,Inspection Robots,Weld Cracks,Porosity/Blowholes,Undercutting |
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| نویسندگان مقاله |
Ata Jahangir Moshayedi |
School of Information Engineering, Jiangxi University of Science and Technology, No. 86, Hongqi Ave, Ganzhou, Jiangxi,341000, P.R. CHINA
Raheleh Nowzari |
Department of Mechanical Engineering, Istanbul Aydin University, 34295, Sefakoy, Istanbul, TURKEY
Maryam Taherinezhad |
Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, CANADA
Hamid Esmaeili Najafabadi |
Department of Electrical and Software Engineering, University of Calgary, CANADA
Amir Sohail Khan |
School of Information Engineering, Jiangxi University of Science and Technology, No. 86, Hongqi Ave, Ganzhou, Jiangxi,341000, P.R. CHINA
Mazyar Ghadiri Nejad |
Department of Industrial Engineering, Cyprus International University, 99258 Nicosia, TRNC, TURKEY
Negin Ghanbari |
Department of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, I.R. IRAN
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| نشانی اینترنتی |
https://ijcce.ac.ir/article_723968_204766b13fe4d1ec6b96898c24cdf63c.pdf |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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