ASNT 30th Research Symposium Conference Proceedings最新文献

{"title":"Fusion of Multi Frequency Nearfield Imaging data for Dielectric Composite Materials Evaluation","authors":"Xuhui Huang, Lei Peng, Subrata Mukherjee, C. Hamilton, Xiaodong Shi, Vijay Srinivason, Eric Davis, Y. Deng","doi":"10.32548/rs.2022.042","DOIUrl":"https://doi.org/10.32548/rs.2022.042","url":null,"abstract":"Composite material usage is rapidly increasing within various industries due to their unique properties. Though having better damage tolerance and corrosion resistance than metals, the presence of defects in composites may significantly affect the material’s integrity and strength. This paper presents a multi-frequency nearfield microwave imaging system tailored to evaluate multi-layered composite materials. The system employs data fusion techniques utilizing multi-frequency signals while improving image quality. Results show the system’s penitential for accurately detecting multiple common defects within composite materials, making it a great material evaluation tool for practical applications.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128686790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Signal Event Extraction by the Apex-shifted Radon Transform","authors":"Augustine E Loshelder, Jiaze He, M. Harb","doi":"10.32548/rs.2022.043","DOIUrl":"https://doi.org/10.32548/rs.2022.043","url":null,"abstract":"Complex structures, such as composite laminates with irregular shapes or with structural reinforcements, pose unique challenges for ultrasonic inspection. These material and geometric complexities interact with the ultrasonic waves and can bury damage-scattered waves in the time-space domain. An Apex-shifted Radon Transform is proposed in this research to convert these signals to an apex time-curvature-apex offset domain (τ − q − y). Through this process, the energy of damage-scattered events can be compressed to localized regions at their apex location for easy extraction. This method shows potential in complex signal extraction and is promising as a tool for damage detection in complex structures without using baseline subtraction.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125541437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NDE Data Fusion between Inconsistent Geometries","authors":"Lijie Liu, Weijun Shen, A. Krishnamurthy, S. Holland, Zhan Zhang","doi":"10.32548/rs.2022.016","DOIUrl":"https://doi.org/10.32548/rs.2022.016","url":null,"abstract":"Data fusion in the NDE digital thread and digital twin requires spatial registration, but in many cases, as-designed and as-built geometries are different. Because of the additional prior knowledge of geometry and topology, a 3D CAD modeling context shows great potential to seamlessly integrate different kinds of NDE data in the digital thread. Non-Uniform Rational B-splines (NURBS) are the standard representation of surfaces in a CAD system. Recently, a differentiable NURBS framework was developed with mathematical formulations of the NURBS derivatives with respect to the input parameters. Using this framework, we perform gradient-based optimization. However, it is still challenging to transform the NDE data to a usable reference CAD geometry with a consistent as-built CAD model and a measured point cloud to support data fusion applications. We have tested this approach on a bar geometry as proof of concept. Our preliminary results show that the approach can fit the distorted surfaces to the measured NDE data well without introducing gaps between the surfaces of the CAD model.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124471428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microwave Characterization of Metal Powder Composites for Powder Property Characterization in Additive Manufacturing (AM)","authors":"Joseph Filbert, Aaronb Barvincak, M.T. Al Qaseer, R. Zoughi","doi":"10.32548/rs.2022.041","DOIUrl":"https://doi.org/10.32548/rs.2022.041","url":null,"abstract":"Common additive manufacturing (AM) methods use metal powder feedstock. The properties of the metal powder such as, particle size distribution (PSD), morphology, and presence of surface oxides or other contaminants, can adversely affect the quality of the final built part. Microwave material characterization techniques potentially offer effective ways by which to evaluate such metal properties. To assess sensitivity of microwave signals to the properties of metal powder used in AM, different types of metal powder were incorporated into resin composite samples, whose dielectric properties were then measured using the completely filled-waveguide technique at both X-band (8.2-12.4 GHz) and Ka-band (26.5-40 GHz). These measurements revealed that microwave signals are sensitive to changes in the metal powder properties. The findings open the door for future investigations by which optimized techniques can be devised to do the same in an in-line manner during the AM process.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133511821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autonomous Ultrasonic Thickness Measurement using a Steel Climbing Mobile Robot Integrated with Martlet Wireless Sensing","authors":"Yuto Otsuki, S. Nguyen, Hung M. La, Yang Wang","doi":"10.32548/rs.2022.029","DOIUrl":"https://doi.org/10.32548/rs.2022.029","url":null,"abstract":"This paper reports the recent development towards autonomous ultrasonic thickness measurement on steel bridge members through the novel integration of a magnet-wheeled steel climbing bicycle robot and a wireless ultrasonic sensing device named Martlet. The compact Martlet wireless device has been designed to attain accurate thickness measurement through the combination of high-voltage excitation, filtering/amplification of the received ultrasonic signal, and high-speed analog-to-digital conversion (~80 MHz). To achieve autonomous inspection, the Martlet ultrasonic device is carried by the steel climbing bicycle robot along with a dual element transducer. The developed mobile sensing system successfully obtains accurate thickness measurement in laboratory testing.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133305093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasonic internal friction measurements of void swelling in AISI 304 stainless steel nuclear reactor reflector blocks","authors":"P. Panetta, Alexandria Podolski, F. Garner, Joe Wall","doi":"10.32548/rs.2022.036","DOIUrl":"https://doi.org/10.32548/rs.2022.036","url":null,"abstract":"Fast neutron irradiation in light water nuclear reactors changes the microstructure and thus the physical properties of internal components made from austenitic stainless steel. Irradiation causes formation of nanometer sized voids causing both dimensional changes in the components (void swelling) as well as microstructure changes and subsequent degradation to the mechanical properties resulting in embrittlement. Irradiation embrittlement is controlled by chemical segregation, carbide and gamma prime precipitation, formation of voids, bubbles, and dislocation loops, and dislocation pileups in the materials. This work focuses on developing ultrasonic NDE methods to measure irradiation embrittlement and the degree of void swelling of nuclear reactor components.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132320822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-Destructive Evaluation of Track Stability Using Doppler Lidar Systems","authors":"M. Ahmadian, Ahmad Radmehr, Sayedmohammad Hosseini","doi":"10.32548/rs.2022.022","DOIUrl":"https://doi.org/10.32548/rs.2022.022","url":null,"abstract":"An approach for non-destructive evaluation of revenue service track stability using Doppler Lidar measurements is provided. The Lidar system is installed onboard a track geometry car for non-contact measurement of the track lateral and vertical movement in response to the weight of the rolling wheel. The deployment of such velocity-based sensors could result in early and timely detection of track infrastructure stability issues, specifically any reduced vertical (tangent track) and lateral (curved track) stiffness, which could diminish the track’s dynamic stability margin. Two Lidar systems along with supporting instrumentation are installed in the cab of a track geometry car that is commonly used for evaluating and recording the condition of revenue service track. The recorded measurements include left and right rail lateral, vertical and longitudinal (down track) velocities, GPS position, and axle-mounted tachometer speed. Using a precise calibration sequence, the exact beam angles between the lenses and track are calculated from the Lidar measurements. The calibration constants are included in the calculations to ensure agreement between the left- and right-rail velocities, the track center-line speed, and speed measurements with onboard instruments (e.g., tachometer, GPS sensors). The recorded data are processed to ensure that the analyzed data represent the components of the measurements that are essential to the track condition. The GPS Velocity data and numerical interpolations are used to clean any Lidar drop-in and drop-outs where the signal drops below the noise floor for the measurements. In addition, the velocity data are scaled such that the left and right rails have the same forward velocities on a tangent track, as would be expected. To retrieve the lateral component of the Lidar signal, a high-pass filter is first applied to remove the effect of the longitudinal velocity on the recorded data. An unsupervised machine learning technique is developed to identify potentially unstable track segments using an automated data analysis process in Python. A visualization platform is also created to show the analyzed segments on the Google Map to accommodate any visual inspection or track maintenance. The study indicates promising results for early detection of track movement that could develop, in time, into track instability.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133906310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Machine Learning Framework for Rail Neutral Temperature Estimation using Impulse Vibrational Responses","authors":"Yuning Wu, Chi-Luen Huang, Sangmin Lee, Keping Zhang, Xuan Zhu, J. Popovics, M. Dersch","doi":"10.32548/rs.2022.021","DOIUrl":"https://doi.org/10.32548/rs.2022.021","url":null,"abstract":"Longitudinal rail force management of continuous welded rail (CWR) is important for safe and efficient railroad operation. A key parameter to measure and monitor is the rail neutral temperature (RNT) or the stress-free temperature. The team proposed a supervised learning framework to estimate the RNT using impulse vibrational responses from CWRs. We first established an instrumented field site on a revenue-service line and collected impulse vibrational response data covering a wide range of temperature and thermal stress. Then, we trained a data-driven model that uses rail temperatures and modal frequencies as the input for in-situ RNT prediction. The results demonstrated that the proposed framework could provide RNT estimation with a reasonable precision (±5 ºF)","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115588361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Scale Mixed Modality Microstructure Assessment for Titanium (M4AT) Data","authors":"J. Wertz, M. Cherry, Laura Homa, Nick Lorenzo, E. Blasch","doi":"10.32548/rs.2022.040","DOIUrl":"https://doi.org/10.32548/rs.2022.040","url":null,"abstract":"The capability of a material depends on multiscale physical properties. In many cases, state-of-the-art material characterization methods for micro-to-mesoscale features require extensive preparation or destructive analysis. These shortcomings limit their use for quality control of component-scale parts, as extensive preparation or destructive analysis are prohibitively expensive or impossible for real-time assessment. One example is the detection and characterization of critical microtexture regions in titanium, where the state-of-the-art sensing method is both damaging and constrained to a laboratory environment. New sensing approaches that achieve the capability of laboratory-based characterization methods without destructive assessment offer promise for manufacturing, inspection, and assembly. A potential solution is to develop novel data fusion algorithms to compliment existing nondestructive evaluation techniques.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114200510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corroborating Laser Shock Interface Characterization with Peel Testing","authors":"James Smith, Bradely Benefiel, S. Evans, C. C. Merriman, Kennth Johnson, T. Roosendaal","doi":"10.32548/rs.2022.037","DOIUrl":"https://doi.org/10.32548/rs.2022.037","url":null,"abstract":"Currently, there is no established testing technique that can characterize the aluminum-cladding interface of fuel plates. The Laser Shock and Peel test methods are two interface characterization techniques that are being developed at Idaho National Laboratory and Pacific Northwest National Laboratory to measure the bond strength of the cladding-cladding interface. The commercial fabrication process to bond two aluminum substrates together for a new nuclear plate fuel system being developed for U.S. research reactors is undergoing a scale-up process. The interface strengths within the resulting plates need to be characterized to ensure the production process will produce claddings that will contain the swelling of the nuclear fuel foil and the resulting fission gasses. , respectively, to perform these measurements. In absence of a standard technique, The goal of our work is to corroborate the two characterization techniques with data from a number of samples with variable bond strength.","PeriodicalId":367504,"journal":{"name":"ASNT 30th Research Symposium Conference Proceedings","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122653842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}