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Implementing a Successful NDT Education Program: Planning, Design, Resources, Curriculum, and Evaluation 实施一个成功的无损检测教育项目:规划、设计、资源、课程和评估
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-09-01 DOI: 10.32548/2021.me-04203
Tracie Clifford
Implementing a new program is often the most challenging stage of an education organization. The seasoned project manager or entrepreneur knows the maintenance of a program, process evaluation, and prioritizing actions into the next phase of planning are the signs of a robust program. This is the same process for the implementation and maintenance of a nondestructive testing (NDT) program. This paper will focus on the critical considerations for the design, implementation, and maintenance of an NDT program in community colleges. In addition, the paper will describe the measures needed to assess the program’s effectiveness and the student learning outcomes for technicians.
实施一个新项目通常是教育机构最具挑战性的阶段。经验丰富的项目经理或企业家都知道,计划的维护、过程评估以及将行动的优先级划分到计划的下一个阶段是稳健计划的标志。这与实施和维护无损检测(NDT)程序的过程相同。本文将重点关注社区大学无损检测项目的设计、实施和维护的关键考虑因素。此外,本文将描述评估该计划的有效性和技术人员的学生学习成果所需的措施。
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引用次数: 0
New Pathways to NDT: 21st Century Technical Education Connects High School Students to Real-World Careers 无损检测的新途径:21世纪技术教育将高中生与现实世界的职业联系起来
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-09-01 DOI: 10.32548/2021.me-04251
J. Ross
High schools in the United States are taking a fresh look at the future of career and technical education with the implementation of new learning pathways that lead directly to the workforce, including the nondestructive testing (NDT) industry. These programs directly connect high school curriculums with post-secondary education and employment, reaching kids as young as junior high.This resurgence in technical education can be traced to the current demand for “new collar” jobs—jobs that require a post-secondary degree, although not necessarily a four-year college degree. The demand for new collar jobs continues to increase, as millions of jobs requiring only a high school diploma have disappeared. Harvard’s influential Pathways to Prosperity report, released in 2011, warned that nearly two-thirds of new jobs of the 2010s would require more than a high school education—yet only 40% of Americans had obtained an associate’s or bachelor’s degree by their mid-20s (Harvard 2011). In response, a new vision of 21st century vocational training is emerging across the United States. Vocational education has traditionally taught students how to weld or how to fix a car. Today’s career and technical education encompasses a wide variety of industries and skills. Students are learning to code software, design websites, or operate robots and artificial intelligence systems that have replaced manual labor jobs across much of the economy. Through new technical and career programs, high school students have the opportunity to learn valuable skills, gain job experience and support from participating sponsor companies and mentors, and complete coursework to graduate with a high school diploma and, often, an associate’s degree as well.This article explores new high school technical and career programs in Texas, Minnesota, and North Carolina that specifically provide a pathway to careers in NDT. These new initiatives are fueled by the desires of students, parents, and educators for options outside of the traditional four-year college path, as well as urgent workforce needs within industry. Support from local industry and academia (such as community colleges) are essential to the success of the programs.
美国的高中正在重新审视职业和技术教育的未来,实施新的学习途径,直接导致劳动力,包括无损检测(NDT)行业。这些项目直接将高中课程与高等教育和就业联系起来,覆盖到初中生。技术教育的复苏可以追溯到当前对“新领”工作的需求,这些工作需要大专以上学历,尽管不一定是四年大学学位。随着数百万只需要高中文凭的工作岗位消失,对新领工作的需求继续增加。哈佛大学2011年发布的一份颇具影响力的《通往繁荣之路》报告警告说,2010年代近三分之二的新工作需要高中以上学历,然而只有40%的美国人在25岁左右获得了大专或学士学位(哈佛大学2011年)。作为回应,21世纪职业培训的新愿景正在美国各地出现。职业教育传统上教学生如何焊接或如何修理汽车。今天的职业和技术教育涵盖了各种各样的行业和技能。学生们正在学习编写软件、设计网站,或操作机器人和人工智能系统,这些已经在经济的大部分领域取代了体力劳动。通过新的技术和职业计划,高中生有机会学习有价值的技能,获得工作经验,并从参与的赞助公司和导师那里获得支持,并完成课程,获得高中文凭,通常也会获得副学士学位。本文探讨了德克萨斯州、明尼苏达州和北卡罗来纳州新的高中技术和职业计划,这些计划专门为无损检测职业提供了一条途径。学生、家长和教育工作者希望在传统的四年制大学道路之外有更多的选择,以及行业内迫切的劳动力需求,推动了这些新举措。来自当地工业界和学术界(如社区学院)的支持对项目的成功至关重要。
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引用次数: 0
Identification of Water Pipe Material Based on Stress Wave Propagation: Numerical Investigations 基于应力波传播的水管材料识别:数值研究
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-08-01 DOI: 10.32548/2021.me-04185
P. Aminpour, K. Sjoblom, I. Bartoli
Water utilities have been struggling to replace their aging infrastructure and have increasingly faced crisis related to the presence of lead pipelines that can affect the health of many communities across the United States. Replacement of lead pipelines is a daunting task because often their location is unknown and technologies to discover such hazardous water lines are unreliable. Driven by these needs, the researchers have explored nondestructive evaluation (NDE) strategies based on ultrasonic stress waves as a tool to discover lead pipelines. While such approaches present great potential, the complexity of wave propagation must be understood to develop an effective NDE strategy. This paper discusses the theoretical foundation and complexities of this approach by showing how stress wave propagation is quite different in pipelines of different materials such as lead, steel, copper, and PVC, which are the common materials used to provide drinking water to households. In particular, different stress wave speeds allow for the identification of different pipeline materials. The simulations presented in this study suggest how ultrasonic stress waves could be deployed in the coming years to help discover and replace lead pipelines.
自来水公司一直在努力更换老化的基础设施,并且越来越多地面临与铅管道存在有关的危机,铅管道可能影响美国许多社区的健康。更换铅管道是一项艰巨的任务,因为它们的位置往往是未知的,而且发现这种危险水管的技术也不可靠。在这些需求的推动下,研究人员探索了基于超声波应力波的无损评估(NDE)策略,作为发现铅管的工具。虽然这些方法具有很大的潜力,但必须了解波传播的复杂性,才能制定有效的濒死体验策略。本文讨论了这种方法的理论基础和复杂性,展示了应力波在不同材料(如铅、钢、铜和PVC)的管道中传播的差异,这些管道是家庭饮用水的常用材料。特别是,不同的应力波速度允许识别不同的管道材料。本研究中提出的模拟表明,在未来几年中,超声波应力波可以用来帮助发现和替换铅管道。
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引用次数: 0
Optimizing Probe Active Aperture for Phased Array Weld Inspections 用于相控阵焊接检测的探头有源孔径优化
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-08-01 DOI: 10.32548/2021.me-04220
A. Birring
Phased array ultrasonic testing (PAUT) has become a popular nondestructive technique for weld inspections in piping, pressure vessels, and other components such as turbines. This technique can be used both in manual and automated modes. PAUT is more attractive than conventional angle-beam ultrasonic testing (UT), as it sweeps the beam through a range of angles and presents a cross-sectional image of the area of interest. Other displays are also available depending on the software. Unlike traditional A-scan instruments, which require the reconstruction of B- and C-scan images from raster scanning, a phased array image is much simpler to produce from line scans and easier to interpret. Engineering codes have incorporated phased array technology and provide steps for standardization, scanning, and alternate acceptance criteria based on fracture mechanics. The basis of fracture mechanics is accurate defect sizing. There is, however, no guidance in codes and standards on the selection and setup of phased array probes for accurate sizing. Just like conventional probes, phased array probes have a beam spread that depends on the probe’s active aperture and frequency. Smaller phased array probes, when used for thicker sections, result in poor focusing, large beam spread, and poor discontinuity definition. This means low resolution and oversizing. Accurate sizing for fracture mechanics acceptance criteria requires probes with high resolution. In this paper, guidance is provided for the selection of phased array probes and setup parameters to improve resolution, definition, and sizing of discontinuities.
相控阵超声检测(PAUT)已成为管道、压力容器和其他部件(如涡轮机)焊缝检测的一种流行的无损技术。这种技术可以在手动和自动模式下使用。PAUT比传统的角光束超声检测(UT)更有吸引力,因为它可以将光束扫过一系列角度,并呈现感兴趣区域的横截面图像。其他显示也可根据软件。传统的a扫描仪器需要从光栅扫描中重建B和c扫描图像,与之不同的是,相控阵图像更容易从线扫描中产生,也更容易解释。工程规范已经纳入了相控阵技术,并提供了标准化、扫描和基于断裂力学的替代验收标准的步骤。断裂力学的基础是精确的缺陷尺寸。然而,在规范和标准中没有关于选择和设置相控阵探头以实现精确尺寸的指导。就像传统探头一样,相控阵探头的波束传播取决于探头的有效孔径和频率。较小的相控阵探头,当用于较厚的截面时,会导致聚焦不良,光束扩散大,不连续定义差。这意味着低分辨率和超大尺寸。断裂力学验收标准的精确尺寸要求具有高分辨率的探头。本文为相控阵探头的选择和设置参数提供了指导,以提高不连续点的分辨率、清晰度和尺寸。
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引用次数: 0
In Situ Metallography Applications in the Pipeline Industry 原位金相技术在管道工业中的应用
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-08-01 DOI: 10.32548/2021.me-04240
B. Amend, M. Gould, P. Veloo, O. Oneal, R. González, N. Switzner
The Merriam-Webster Dictionary defines metallography as “a study of the structure of metals, especially with the microscope.” The structure of a steel visible at high magnification can reveal information about how the steel was formed or heat-treated, the general “quality” of the steel, whether any observed discontinuities originated during manufacturing or while the component was in service, and the extent to which properties may be consistent across the wall thickness. Microstructural features such as grain size, the amount and distribution of inclusions, and the types and amounts of different microstructural phases are known to influence a material’s properties. In some cases, the observed attributes are qualitatively characterized. In other cases, manual or digital image analysis facilitates quantitative descriptions of attributes such as grain size, the percent of a selected phase, or inclusions that are present. Typically, small sections are cut from the pipe or other component and metallographic sample preparation and examination are performed in a laboratory. When destructive sampling is impractical, the specimen preparation, visual examination, and related photo documentation can be performed nondestructively in the field. That process is known as “in situ metallography” and is the subject of this paper.
韦氏词典将金相学定义为“对金属结构的研究,尤指用显微镜进行的研究”。高倍放大镜下可见的钢的结构可以揭示有关钢的形成或热处理方式的信息,钢的一般“质量”,是否有在制造过程中或部件使用时产生的观察到的不连续性,以及在多大程度上性能可能在壁厚上一致。微观结构特征,如晶粒尺寸、夹杂物的数量和分布,以及不同微观结构相的类型和数量,都会影响材料的性能。在某些情况下,观察到的属性是定性的。在其他情况下,手动或数字图像分析有助于对诸如粒度、所选相的百分比或存在的内含物等属性的定量描述。通常,从管道或其他部件上切下一小段,并在实验室中进行金相样品制备和检查。当破坏性取样不可行时,标本准备、目视检查和相关的照片记录可以在现场进行无损检测。这一过程被称为“原位金相学”,也是本文的主题。
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引用次数: 1
AI-Enabled Robotic NDE for Structural Damage Assessment and Repair 用于结构损伤评估和修复的人工智能机器人无损检测
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-07-01 DOI: 10.32548/2021.ME-04214
Xiaodong Shi, Anthony Olvera, C. Hamilton, Er-zhuo Gao, Jiaoyang Li, Lucas Utke, A. Petruska, Zheng Yu, L. Udpa, Y. Deng, Hao Zhang
The aim of this paper is to develop the concept and a prototype of an intelligent mobile robotic platform that is integrated with nondestructive evaluation (NDE) capabilities for autonomous live inspection and repair. In many industrial environments, such as the application of power plant boiler inspection, human inspectors often have to perform hazardous and challenging tasks. There is a significant chance of injury, considering the confined spaces and limited visibility of the inspection environment and hazards such as pressurization and improper water levels. In order to provide a solution to eliminate these dangers, the concept of a new robotic system was developed and prototyped that is capable of autonomously sweeping the region to be inspected. The robot design contains systematic integration of components from robotics, NDE, and artificial intelligence (AI). A magnetic track system is used to navigate over the vertical steel structures required for examination. While moving across the inspection area, the robot uses an NDE sensor to acquire data for inspection and repair. This paper presents a design of a portable NDE scanning system based on eddy current array probes, which can be customized and installed on various mobile robot platforms. Machine learning methods are applied for semantic segmentation that will simultaneously localize and recognize defects without the need of human intervention. Experiments were conducted that show the NDE and repair capabilities of the system. Improvements in human safety and structural damage prevention, as well as lowering the overall costs of maintenance, are possible through the implementation of this robotic NDE system.
本文的目的是开发一个智能移动机器人平台的概念和原型,该平台集成了无损评估(NDE)能力,用于自主现场检测和维修。在许多工业环境中,如电厂锅炉检测的应用,人类检查员经常要执行危险和具有挑战性的任务。考虑到密闭空间和检测环境的能见度有限,以及压力和不适当的水位等危险,受伤的可能性很大。为了提供消除这些危险的解决方案,开发了一种新型机器人系统的概念,并制作了原型,该系统能够自动清扫待检查区域。机器人的设计包含了机器人技术、NDE和人工智能(AI)组件的系统集成。磁性轨道系统用于在需要检测的垂直钢结构上导航。在穿过检测区域时,机器人使用无损检测传感器获取数据进行检测和修复。本文设计了一种基于涡流阵列探头的便携式无损检测系统,该系统可定制并安装在各种移动机器人平台上。将机器学习方法应用于语义分割,可以在不需要人工干预的情况下同时定位和识别缺陷。实验结果表明,该系统具有良好的无损检测和修复能力。通过实施这种机器人NDE系统,可以提高人类安全和防止结构损坏,并降低维护的总体成本。
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引用次数: 0
Development of an Innovative Inspection Tool for Superheater Tubes in Fossil Fuel Power Plants 一种新型火电厂过热器管检测工具的研制
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-07-01 DOI: 10.32548/2021.ME-04212
C. Lara, Julie Villamil, A. Abrahão, Aparna Aravelli, Guilherme Daldegan, S. Sarker, Daniel Martinez, D. McDaniel
Fossil fuel power plants are complex systems containing multiple components that require periodic health monitoring. Failures in these systems can lead to increased downtime for the plant, reduction of power, and significant cost for repairs. Inspections of the plant’s superheater tubes are typically manual, laborious, and extremely time-consuming. This is due to their small diameter size (between 1.3 and 7.6 cm) and the coiled structure of the tubing. In addition, the tubes are often stacked close to each other, limiting access for external inspection. This paper presents the development and testing of an electrically powered pipe crawler that can navigate inside 5 cm diameter tubes and provide an assessment of their health. The crawler utilizes peristaltic motion within the tubes via interconnected modules for gripping and extending. The modular nature of the system allows it to traverse through straight sections and multiple 90° and 180° bends. Additional modules in the system include an ultrasonic sensor for tube thickness measurements, as well as environmental sensors, a light detecting and ranging (LiDAR) sensor, and camera. These modules utilize a gear system that allows for 360° rotation and provides a means to inspect the entire internal circumference of the tubes.
化石燃料发电厂是一个包含多个组件的复杂系统,需要定期进行健康监测。这些系统的故障可能会导致工厂停机时间增加、电力减少以及维修成本高昂。电厂过热器管道的检查通常是手动的、费力的,而且非常耗时。这是由于它们的小直径尺寸(在1.3和7.6厘米之间)和油管的盘绕结构。此外,这些管道通常堆叠得很近,限制了外部检查的进入。本文介绍了一种电动管道爬行器的开发和测试,该爬行器可以在直径5厘米的管道内航行,并对其健康状况进行评估。爬行器通过相互连接的模块利用管内的蠕动运动来抓握和延伸。该系统的模块化特性使其能够穿过直线段和多个90°和180°弯头。该系统中的附加模块包括用于管厚度测量的超声波传感器、环境传感器、光探测和测距(LiDAR)传感器以及相机。这些模块采用齿轮系统,允许360°旋转,并提供了一种检查管道整个内圆周的方法。
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引用次数: 1
Automated Robotic Systems for Nondestructive Testing of Aerospace Composite Structures 航空复合材料结构无损检测的自动化机器人系统
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-07-01 DOI: 10.32548/2021.ME-04224
Fetzer Barry
Automated robotic systems are becoming prevalent in many aerospace manufacturing applications, such as laser ablation, sanding, drilling, final assembly, and painting. There are significant advantages to using automated robotic systems for inspection purposes as well: versatility, speed, and repeatability, to name a few. This paper explores using an automated robotic system for the nondestructive testing (NDT) of composite parts. It has a focus on phased array ultrasonic testing (PAUT) but highlights modularity principles in the system that are not coupled to a single inspection method. Because of the articulation inherent in multi-axis robots, inspections of contoured structures become straightforward if the system modules are designed correctly. Examples of such modules, and their advantages when interfaced to an automated robotic system, are included in this paper. It is the author’s intent to show how these system modules might maximize robot capabilities for a broad range of aerospace inspections while keeping a simplistic design that is modular, fast, and straightforward to use. When compared to other aerospace manufacturing processes already using automated robotic systems, the use of robots for NDT seems not only prudent but a favorable goal. This paper offers practical building blocks for achieving this goal.
自动化机器人系统在许多航空航天制造应用中变得越来越普遍,例如激光烧蚀、打磨、钻孔、最终装配和涂装。使用自动化机器人系统进行检查也有显著的优点:多功能性、速度和可重复性,仅举几例。本文探讨了利用自动化机器人系统对复合材料零件进行无损检测。它侧重于相控阵超声检测(PAUT),但强调系统中的模块化原则,而不是与单一检测方法相耦合。由于多轴机器人固有的关节,如果系统模块设计正确,轮廓结构的检查变得简单。这些模块的例子,以及它们在与自动化机器人系统接口时的优势,都包括在本文中。这是作者的意图,以显示如何这些系统模块可能最大限度地提高机器人的能力,为广泛的航空航天检查,同时保持一个简单的设计,是模块化的,快速的,直接使用。与其他已经使用自动化机器人系统的航空航天制造过程相比,使用机器人进行无损检测似乎不仅是谨慎的,而且是一个有利的目标。本文为实现这一目标提供了实用的构建模块。
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引用次数: 0
Integrating Electromagnetic Acoustic Transducers in a Modular Robotic Gripper for Inspecting Tubular Components 将电磁声传感器集成到用于检测管状部件的模块化机器人夹具中
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-07-01 DOI: 10.32548/2021.ME-04223
H. Nemati, Fernando Alvidrez, Ankit Das, Nihar Masurkar, Manoj Rudraboina, H. Marvi, E. Dehghan-Niri
Tubular structures are critical components in infrastructure such as power plants. Throughout their life, they are subjected to extreme conditions or suffer from defects such as corrosion and cracks. Although regular inspection of these components is necessary, such inspection is limited by safety-related risks and limited access for human inspection. Robots can provide a solution for automatic inspection. The main challenge, however, lies in integrating sensors for nondestructive evaluation with robotic platforms. As part of developing a versatile lizard-inspired tube inspector robot, in this study the authors propose to integrate electromagnetic acoustic transducers into a modular robotic gripper for use in automated ultrasonic inspection. In particular, spiral coils with cylindrical magnets are integrated into a novel friction-based gripper to excite Lamb waves in thin cylindrical structures. To evaluate the performance of the integrated sensors, the gripper was attached to a robotic arm manipulator and tested on pipes of different outer diameters. Two sets of tests were carried out on both defect-free pipes and pipes with simulated defects, including surface partial cracking and corrosion. The inspection results indicated that transmitted and received signals could be acquired with an acceptable signal-to-noise ratio in the time domain. Moreover, the simulated defects could be successfully detected using the integrated robotic sensing system.
管状结构是发电厂等基础设施的关键部件。在它们的整个生命周期中,它们都会受到极端条件的影响,或者会出现腐蚀和裂纹等缺陷。尽管有必要对这些部件进行定期检查,但此类检查受到安全相关风险和人员检查受限的限制。机器人可以为自动检测提供解决方案。然而,主要的挑战在于将用于无损评估的传感器与机器人平台集成。作为开发一种受蜥蜴启发的多功能管道检测机器人的一部分,在这项研究中,作者建议将电磁声换能器集成到一个模块化机器人夹具中,用于自动超声波检测。特别是,将带有圆柱形磁体的螺旋线圈集成到一种新型的基于摩擦的夹具中,以在薄圆柱形结构中激发兰姆波。为了评估集成传感器的性能,将夹具连接到机械臂上,并在不同外径的管道上进行测试。对无缺陷管道和具有模拟缺陷(包括表面局部开裂和腐蚀)的管道进行了两组测试。检测结果表明,在时域上可以以可接受的信噪比获取发射和接收信号。此外,使用集成机器人传感系统可以成功地检测模拟的缺陷。
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引用次数: 2
Aerial Robots for Contact-Based Ultrasonic Thickness Measurements for Field Inspections 用于现场检测的接触式超声厚度测量的航空机器人
IF 0.6 4区 材料科学 Q4 Engineering Pub Date : 2021-07-01 DOI: 10.32548/2021.ME-04213
Robert L. Dahlstrom
Aerial robotic systems, also referred to as drones, enable the collection of data on a scale and scope heretofore unimaginable. Field inspections at industrial sites using an aerial robotic inspection system that makes physical contact with a structure or asset as part of a nondestructive testing (NDT) or nondestructive evaluation (NDE) routine is safer than placing humans at elevation and enables more data to be gathered in less time. These aerial robotic systems are highly extensible and agile enabling safer, faster, and better inspections. Robotic inspection systems are forecast to grow exponentially this decade and beyond, as asset owners and service providers realize their economic value creation, increased data collection, and safety contributions.
空中机器人系统,也被称为无人机,能够以迄今无法想象的规模和范围收集数据。作为无损检测(NDT)或无损评估(NDE)常规的一部分,在工业现场使用空中机器人检测系统与结构或资产进行物理接触,这比将人员放在高处更安全,并且可以在更短的时间内收集更多数据。这些空中机器人系统具有高度可扩展性和灵活性,可以实现更安全、更快和更好的检查。随着资产所有者和服务提供商意识到他们创造的经济价值、增加的数据收集和安全贡献,机器人检测系统预计将在未来十年及以后呈指数级增长。
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引用次数: 0
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