Nondestructive evaluation of adhesion of pipeline coatings - Phase II

管道涂层附着力的无损评估——第二阶段

• 批准号: 486054-2015
• 负责人: Sinclair, Anthony
• 金额: $ 0.91万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=585365
• 关键词: Nondestructive; evaluation; adhesion; pipeline; coatings

This project is built upon a previously-awarded NSERC Engage Grant conducted in collaboration with ShawCor Ltd. The objective is to develop a fast, reliable, nondestructive technique for measuring the quality of adhesion between an oil or gas pipeline and the protective polymer coating that surrounds it. Pipelines with adequate protection from a polymer coating are susceptible to corrosion that could ultimately lead to pipe failure - this could pose a significant risk in terms of environmental damage, loss of revenue to the company, energy transportation bottlenecks, and personal injury. The first phase of this project led to the identification of two potential techniques for estimating interfacial bond strength between pipe and coating. One method was based on a machine-learning algorithm, by which a software program is "trained" to ass key ultrasonic signatures that indicate damping characteristics of the coated pipe. The second technique is based on applying a vibrational shearing stress on the pipe, to the extent that a weak steel/polymer interface would experience significant deformation. A quick pair of ultrasonic measurements, taken before and after the stress excursion would then identify locations with weak interfacial bonding. Preliminary tests with both of these techniques indicate that they hold the best promise for leading to a viable in-field 9inspection system. In this Engage Plus project, both of these testing options will be evaluated in depth, and result in a final recommended system for industrial application by ShawCor.

该项目是建立在先前授予的NSERC参与赠款与ShawCor有限公司合作进行的目标是开发一个快速，可靠，用于测量石油或天然气管道与其周围的保护性聚合物涂层之间的粘附质量的非破坏性技术。具有足够的聚合物涂层保护的管道容易受到腐蚀，最终可能导致管道失效-这可能在环境破坏、公司收入损失、能源运输瓶颈和人身伤害方面造成重大风险。 该项目的第一阶段导致了两个潜在的技术估计管道和涂层之间的界面结合强度的识别。一种方法是基于机器学习算法，通过该算法，软件程序被“训练”以通过指示涂层管道的阻尼特性的关键超声特征。第二种技术是基于在管道上施加振动剪切应力，达到弱钢/聚合物界面将经历显著变形的程度。在应力偏移之前和之后进行的一对快速超声波测量将识别界面结合薄弱的位置。 这两种技术的初步测试表明，它们最有希望导致一个可行的现场9检查系统。在这个Engage Plus项目中，这两个测试选项都将进行深入评估，并最终推荐ShawCor的工业应用系统。