Brett G. Diehl, A. Castro, Lars Jaquemetton, D. Beckett
In situ melt pool monitoring is a set of technologies widely deployed on industrial, metals-based laser powder bed fusion (LPBF) additive manufacturing (AM) systems. This study investigates the use of a calibrated tungsten ribbon lamp as a reference standard to calibrate a photodetector based, on-axis melt pool monitoring system. Calibration demonstrates two functions: (a) enable a reference for measuring and ensuring system repeatability, and (b) enable reference to physical temperature values based on the measured photodetector signals. The second function is explored in this paper. A regression-based model is derived based on bichromatic Planck thermometry theory. The calibrated tungsten lamp is then placed within a LPBF system, and resulting photodetector signals are measured at different lamp temperature set points to calibrate the model. Finally, several additional characterization tests and their results are presented verifying the temporal response of the lamp, measurement noise as a function of sampling time, and spectroscopic measurements of the LPBF optics and their potential effect on temperature calibration. A framework is also developed to normalize temperature readings across the build plate to remove location-dependent optical artifacts.
{"title":"Thermal Calibration of Ratiometric, On-Axis Melt Pool Monitoring Photodetector System Using Tungsten Strip Lamp","authors":"Brett G. Diehl, A. Castro, Lars Jaquemetton, D. Beckett","doi":"10.32548/2022.me-04271","DOIUrl":"https://doi.org/10.32548/2022.me-04271","url":null,"abstract":"In situ melt pool monitoring is a set of technologies widely deployed on industrial, metals-based laser powder bed fusion (LPBF) additive manufacturing (AM) systems. This study investigates the use of a calibrated tungsten ribbon lamp as a reference standard to calibrate a photodetector based, on-axis melt pool monitoring system. Calibration demonstrates two functions: (a) enable a reference for measuring and ensuring system repeatability, and (b) enable reference to physical temperature values based on the measured photodetector signals. The second function is explored in this paper. A regression-based model is derived based on bichromatic Planck thermometry theory. The calibrated tungsten lamp is then placed within a LPBF system, and resulting photodetector signals are measured at different lamp temperature set points to calibrate the model. Finally, several additional characterization tests and their results are presented verifying the temporal response of the lamp, measurement noise as a function of sampling time, and spectroscopic measurements of the LPBF optics and their potential effect on temperature calibration. A framework is also developed to normalize temperature readings across the build plate to remove location-dependent optical artifacts.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49665215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Kenderian, Tait D. McLouth, Dhruvish Y. Patel, Julian R. Lohser
To understand the thermal history of parts manufactured in a laser powder bed fusion system, eight thermocouple sensors were imbedded at key locations with respect to the parts being built. The design comprised eight vertical cylinders 2.54 cm (1 in.) and 1.27 cm (0.5 in.) in diameter and four 2.54 cm (1 in.) horizontal cylinders. The temperature signature collected at the eight locations reveals the time intervals of depositing and melting each layer and the cooling trend associated with the stoppage required for filter cleaning. The temperature profile also reveals a fast rate of heat accumulation at the start of the process. As more layers are melted and the part becomes taller, the dissipation path for heat deposited by the laser increases prior to reaching the build plate. The heat accumulation, therefore, increases rapidly at first, then decreases, plateaus, and then drops slightly toward the end. Distortions due to residual stresses and resultant part separation from the build plate can be deduced from the thermal signature as detected by the thermocouple sensors. This allows the manufacturer to make adjustments or abort the process if necessary. Otherwise, these distortions that render the part a reject are discovered hours or days later upon completion of the additively manufactured part.
{"title":"Thermocouple Process Monitoring for Additive Manufacturing","authors":"S. Kenderian, Tait D. McLouth, Dhruvish Y. Patel, Julian R. Lohser","doi":"10.32548/2022.me-04243","DOIUrl":"https://doi.org/10.32548/2022.me-04243","url":null,"abstract":"To understand the thermal history of parts manufactured in a laser powder bed fusion system, eight thermocouple sensors were imbedded at key locations with respect to the parts being built. The design comprised eight vertical cylinders 2.54 cm (1 in.) and 1.27 cm (0.5 in.) in diameter and four 2.54 cm (1 in.) horizontal cylinders. The temperature signature collected at the eight locations reveals the time intervals of depositing and melting each layer and the cooling trend associated with the stoppage required for filter cleaning. The temperature profile also reveals a fast rate of heat accumulation at the start of the process. As more layers are melted and the part becomes taller, the dissipation path for heat deposited by the laser increases prior to reaching the build plate. The heat accumulation, therefore, increases rapidly at first, then decreases, plateaus, and then drops slightly toward the end. Distortions due to residual stresses and resultant part separation from the build plate can be deduced from the thermal signature as detected by the thermocouple sensors. This allows the manufacturer to make adjustments or abort the process if necessary. Otherwise, these distortions that render the part a reject are discovered hours or days later upon completion of the additively manufactured part.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44335451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Cook, Nancy Huang, R. Smithson, C. Kube, A. Beese, A. Argüelles
Binder jet metallic additive manufacturing (AM) is a popular alternative to powder bed fusion and directed energy deposition because of lower costs, elimination of thermal cycling, and lower energy consumption. However, like other metallic AM processes, binder jetting is prone to defects like porosity, which decreases the adoption of binder-jetted parts. Binder-jetted parts are sometimes infiltrated with a low melting temperature metal to fill pores during sintering; however, the infiltration is impacted by the part geometry and infiltration environment, which can cause infill nonuniformity. Furthermore, using an infiltration metal creates a complicated multiphase microstructure substantially different than common wrought materials and alloys. To bring insight to the binder jet/infiltration process toward part qualification and improved part quality, spatially dependent ultrasonic wave speed and attenuation techniques are being applied to help characterize and map porosity in parts made by binder jet AM. In this paper, measurements are conducted on binder-jetted stainless steel and stainless steel infiltrated with bronze samples. X-ray computed tomography (XCT) is used to provide an assessment of porosity.
{"title":"Ultrasonic Characterization of Porosity in Components Made by Binder Jet Additive Manufacturing","authors":"O. Cook, Nancy Huang, R. Smithson, C. Kube, A. Beese, A. Argüelles","doi":"10.32548/2022.me-04266","DOIUrl":"https://doi.org/10.32548/2022.me-04266","url":null,"abstract":"Binder jet metallic additive manufacturing (AM) is a popular alternative to powder bed fusion and directed energy deposition because of lower costs, elimination of thermal cycling, and lower energy consumption. However, like other metallic AM processes, binder jetting is prone to defects like porosity, which decreases the adoption of binder-jetted parts. Binder-jetted parts are sometimes infiltrated with a low melting temperature metal to fill pores during sintering; however, the infiltration is impacted by the part geometry and infiltration environment, which can cause infill nonuniformity. Furthermore, using an infiltration metal creates a complicated multiphase microstructure substantially different than common wrought materials and alloys. To bring insight to the binder jet/infiltration process toward part qualification and improved part quality, spatially dependent ultrasonic wave speed and attenuation techniques are being applied to help characterize and map porosity in parts made by binder jet AM. In this paper, measurements are conducted on binder-jetted stainless steel and stainless steel infiltrated with bronze samples. X-ray computed tomography (XCT) is used to provide an assessment of porosity.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46833848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Curved glass fiber–reinforced polymer (GFRP) composites are superior to alloy-steel pipes due to their excellent corrosive resistance properties, finding wide applications in the transportation of petrochemicals, chemical storage tanks, and power and water-treatment plants. Among the defects found in GFRP pipes, internal pitting or wall loss is one of the most severe, caused by material deterioration and the friction of small particles in the transfer fluid. This study investigates these in-service discontinuities using a pulsed thermal nondestructive evaluation technique. The paper focuses on the quantification of defect depth using the temperature peak contrast derivative and defect sizing using the full width at half maximum method. Further, the paper investigates the ability of pulsed thermography to estimate pitting or wall-loss defects at various depths and sizes through simulation and experimentation. Thermographic signal reconstruction images are used for quantification of defects at a deeper depth. The results of the present study are then compared with well-established ultrasonic C-scan results.
{"title":"Characterization of Wall-Loss Defects in Curved GFRP Composites Using Pulsed Thermography","authors":"R. Gomathi, M. Ashok, M. Menaka, B. Venkatraman","doi":"10.32548/2022.me-04160","DOIUrl":"https://doi.org/10.32548/2022.me-04160","url":null,"abstract":"Curved glass fiber–reinforced polymer (GFRP) composites are superior to alloy-steel pipes due to their excellent corrosive resistance properties, finding wide applications in the transportation of petrochemicals, chemical storage tanks, and power and water-treatment plants. Among the defects found in GFRP pipes, internal pitting or wall loss is one of the most severe, caused by material deterioration and the friction of small particles in the transfer fluid. This study investigates these in-service discontinuities using a pulsed thermal nondestructive evaluation technique. The paper focuses on the quantification of defect depth using the temperature peak contrast derivative and defect sizing using the full width at half maximum method. Further, the paper investigates the ability of pulsed thermography to estimate pitting or wall-loss defects at various depths and sizes through simulation and experimentation. Thermographic signal reconstruction images are used for quantification of defects at a deeper depth. The results of the present study are then compared with well-established ultrasonic C-scan results.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43429942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chenggeng Li, Zhenhua Chen, Wei-bing Chen, Chao-feng Lu
The impact damage imposed on carbon fiber–reinforced polymer (CFRP) materials used in aircraft fuselage may seriously affect flight safety. An ultrasonic testing method can be used to inspect for damage; however, in some cases of invisible or barely visible impact damage, linear ultrasound may not provide a clear indication of the underlying damage. Accordingly, a nonlinear Lamb wave technique was developed in this study to detect invisible impact damage (IID). First, a nonlinear Lamb wave testing platform was set, as well as damage areas with different impact energies. Second, the anisotropic propagation of Lamb waves was studied to determine the wave mode and the distribution of the transducers, and the linear parameters of the Lamb waves were determined. Last, three types of characteristic parameters of nonlinear Lamb waves were obtained for damage detection. As revealed from the results, the linear ultrasonic parameters of A0 mode Lamb waves can be applied to the detection of macro surface cracks, and the frequency shift, relative nonlinearity coefficient (RNC), and fluctuation coefficient of RNCs are highly sensitive to the detection of IID. Thus, a combination of nonlinear S0 Lamb waves and linear A0 Lamb waves can be used for IID and macro surface crack detection, respectively.
{"title":"Study on Nonlinear Lamb Wave Test for Invisible Impact Damage on CFRP Laminates","authors":"Chenggeng Li, Zhenhua Chen, Wei-bing Chen, Chao-feng Lu","doi":"10.32548/2022.me-04191","DOIUrl":"https://doi.org/10.32548/2022.me-04191","url":null,"abstract":"The impact damage imposed on carbon fiber–reinforced polymer (CFRP) materials used in aircraft fuselage may seriously affect flight safety. An ultrasonic testing method can be used to inspect for damage; however, in some cases of invisible or barely visible impact damage, linear ultrasound may not provide a clear indication of the underlying damage. Accordingly, a nonlinear Lamb wave technique was developed in this study to detect invisible impact damage (IID). First, a nonlinear Lamb wave testing platform was set, as well as damage areas with different impact energies. Second, the anisotropic propagation of Lamb waves was studied to determine the wave mode and the distribution of the transducers, and the linear parameters of the Lamb waves were determined. Last, three types of characteristic parameters of nonlinear Lamb waves were obtained for damage detection. As revealed from the results, the linear ultrasonic parameters of A0 mode Lamb waves can be applied to the detection of macro surface cracks, and the frequency shift, relative nonlinearity coefficient (RNC), and fluctuation coefficient of RNCs are highly sensitive to the detection of IID. Thus, a combination of nonlinear S0 Lamb waves and linear A0 Lamb waves can be used for IID and macro surface crack detection, respectively.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46375850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While various common alloys, such as steels, titaniums, and more recently aluminums, have been tested and inspected using X-ray fluorescence spectroscopy (XRF) for decades, uncommon and niche alloys can produce surprising and unusual results. The ability to identify the base metal, major alloying elements, and trace materials in these alloys is critical to XRF testing and inspection procedures. Modern XRF instruments and software can quickly and easily characterize standard and common alloys, such as low-carbon steel, grade 5 titanium, and 6000 series aluminum; detected signals from the metals are generally discrete and strongly pronounced. Less common alloys, such as nickel superalloys and uraniums, present a greater analytical hurdle for rapid on-site testing, grading, and inspection. These exotic materials contain either weaker signals from the alloying elements or nonunique signatures, preventing accurate quantification. Standardization adjustments through software improvements increase the testing accuracy for these uncommon alloys, bringing their results in line with those from more traditional alloys. By modulating the detection energies of interest, the robust calculation can greatly surpass standard, out-of-the-box performance without the need for any inspector input. These improvements can provide greater inspection accuracy on a wider variety of rare and valuable alloys into the future.
{"title":"Improvement of Exotic Material Verification Using XRF","authors":"Joshua H. Litofsky","doi":"10.32548/2022.me-04268","DOIUrl":"https://doi.org/10.32548/2022.me-04268","url":null,"abstract":"While various common alloys, such as steels, titaniums, and more recently aluminums, have been tested and inspected using X-ray fluorescence spectroscopy (XRF) for decades, uncommon and niche alloys can produce surprising and unusual results. The ability to identify the base metal, major alloying elements, and trace materials in these alloys is critical to XRF testing and inspection procedures. Modern XRF instruments and software can quickly and easily characterize standard and common alloys, such as low-carbon steel, grade 5 titanium, and 6000 series aluminum; detected signals from the metals are generally discrete and strongly pronounced. Less common alloys, such as nickel superalloys and uraniums, present a greater analytical hurdle for rapid on-site testing, grading, and inspection. These exotic materials contain either weaker signals from the alloying elements or nonunique signatures, preventing accurate quantification. Standardization adjustments through software improvements increase the testing accuracy for these uncommon alloys, bringing their results in line with those from more traditional alloys. By modulating the detection energies of interest, the robust calculation can greatly surpass standard, out-of-the-box performance without the need for any inspector input. These improvements can provide greater inspection accuracy on a wider variety of rare and valuable alloys into the future.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49132764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yavuz Selim Balcioglu, B. Sezen, M. S. Gok, Sezai Tunca
Intelligent production requires improved data analytics and better technological possibilities to improve system performance and decision making. With the widespread use of the machine learning process, a growing need has arisen for processing extensive production data, equipped with high volumes, high speed, and high diversity. At this point, deep learning provides advanced analysis tools for processing and analyzing extensive production data. The deep convolutional neural network (DCNN) displays state-of-the-art performance on many grounds, including metal manufacturing surface defect detection. However, there is still space for improving the defect detection performance over generic DCNN models. The proposed approach performed better than the associated methods in the particular area of surface crack detection. The defect zones of disjointed results are classified into their unique classes by a DCNN. The experimental outcomes prove that this method meets the durability and efficiency requirements for metallic object defect detection. In time, it can also be extended to other detection methods. At the same time, the study will increase the accuracy quality of the features that can make a difference in the deep learning method for the detection of surface defects.
{"title":"Image Processing with Deep Learning: Surface Defect Detection of Metal Gears through Deep Learning","authors":"Yavuz Selim Balcioglu, B. Sezen, M. S. Gok, Sezai Tunca","doi":"10.32548/2022.me-04230","DOIUrl":"https://doi.org/10.32548/2022.me-04230","url":null,"abstract":"Intelligent production requires improved data analytics and better technological possibilities to improve system performance and decision making. With the widespread use of the machine learning process, a growing need has arisen for processing extensive production data, equipped with high volumes, high speed, and high diversity. At this point, deep learning provides advanced analysis tools for processing and analyzing extensive production data. The deep convolutional neural network (DCNN) displays state-of-the-art performance on many grounds, including metal manufacturing surface defect detection. However, there is still space for improving the defect detection performance over generic DCNN models. The proposed approach performed better than the associated methods in the particular area of surface crack detection. The defect zones of disjointed results are classified into their unique classes by a DCNN. The experimental outcomes prove that this method meets the durability and efficiency requirements for metallic object defect detection. In time, it can also be extended to other detection methods. At the same time, the study will increase the accuracy quality of the features that can make a difference in the deep learning method for the detection of surface defects.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47712180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article is a companion piece for my first article published in the April 2020 issue of Materials Evaluation (https://doi.org/10.32548/2020.me-04136). While that article provided a broad overview of neutron radiography, this article delves deeper into the mechanics of neutron radiation and provides more examples of its applications in the field of nondestructive testing.
{"title":"Mechanics of Neutron Radiation and Applications in the Field","authors":"Willow Ascenzo","doi":"10.32548/2022.me-04265","DOIUrl":"https://doi.org/10.32548/2022.me-04265","url":null,"abstract":"This article is a companion piece for my first article published in the April 2020 issue of Materials Evaluation (https://doi.org/10.32548/2020.me-04136). While that article provided a broad overview of neutron radiography, this article delves deeper into the mechanics of neutron radiation and provides more examples of its applications in the field of nondestructive testing.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42459914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In 1931, a professional photographer named Giuseppe Enri pointed his camera at a piece of cloth called the Shroud of Turin. How was this image formed? When was it made? Who made it? Is this an image of a real person? Could this be an image of the man known as Jesus Christ? Could this be the authentic burial cloth of Jesus? These are just a few of the questions that arise. This article provides an overview of the Shroud, including its images, history, materials, and previous testing. It also includes the author’s hypothesis to explain the main mysteries of the Shroud, including image formation, carbon dating, and features of the blood on the Shroud. The purpose of this article is to encourage the development of a program for future testing of the Shroud. There are rumors the Shroud may go on exhibition in Turin, Italy, in 2025. To help obtain authorization for further scientific testing possibly following the exhibition in 2025, a comprehensive testing program should be developed for the Shroud to take advantage of advances in technology since the last extensive testing in 1978.
{"title":"The Mysteries of the Shroud of Turin","authors":"R. Rucker","doi":"10.32548/2022.me-02022","DOIUrl":"https://doi.org/10.32548/2022.me-02022","url":null,"abstract":"In 1931, a professional photographer named Giuseppe Enri pointed his camera at a piece of cloth called the Shroud of Turin. How was this image formed? When was it made? Who made it? Is this an image of a real person? Could this be an image of the man known as Jesus Christ? Could this be the authentic burial cloth of Jesus? These are just a few of the questions that arise. This article provides an overview of the Shroud, including its images, history, materials, and previous testing. It also includes the author’s hypothesis to explain the main mysteries of the Shroud, including image formation, carbon dating, and features of the blood on the Shroud. The purpose of this article is to encourage the development of a program for future testing of the Shroud. There are rumors the Shroud may go on exhibition in Turin, Italy, in 2025. To help obtain authorization for further scientific testing possibly following the exhibition in 2025, a comprehensive testing program should be developed for the Shroud to take advantage of advances in technology since the last extensive testing in 1978.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47487682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Informatization is defined as the process by which information technologies, such as the World Wide Web and other communication technologies, have transformed economic and social relations to such an extent that cultural and economic barriers are minimized. What does this mean for nondestructive testing and evaluation (NDT/E)? In short: informatization in NDT and NDE has happened and will continue to happen, independent of whether individuals or companies like it or not. However, we can shape it—together.
{"title":"NDE Outlook: Informatization of NDT and NDE","authors":"Johannes Ludwig Vrana","doi":"10.32548/2022.me-800122","DOIUrl":"https://doi.org/10.32548/2022.me-800122","url":null,"abstract":"Informatization is defined as the process\u0000by which information technologies,\u0000such as the World Wide Web and other\u0000communication technologies, have\u0000transformed economic and social relations\u0000to such an extent that cultural and\u0000economic barriers are minimized.\u0000What does this mean for nondestructive\u0000testing and evaluation (NDT/E)? In\u0000short: informatization in NDT and NDE\u0000has happened and will continue to\u0000happen, independent of whether individuals\u0000or companies like it or\u0000not. However, we can shape\u0000it—together.","PeriodicalId":49876,"journal":{"name":"Materials Evaluation","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49464629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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