Pedram Shoa, A. Hemmat, M. Gheysari, R. Amirfattahi
{"title":"Effect of micro climatic indices on the accuracy of thermographic plant water status monitoring, case study of a semi-arid area","authors":"Pedram Shoa, A. Hemmat, M. Gheysari, R. Amirfattahi","doi":"10.1080/17686733.2020.1768496","DOIUrl":"https://doi.org/10.1080/17686733.2020.1768496","url":null,"abstract":"ABSTRACT Plant water stress can be remotely monitored by means of thermography due to its increasing effect on plant temperature. For a more accurate estimation of plant water status, its temperature should be normalised against environmental conditions. In this paper, the aim was to investigate a recently proposed method of normalisation using artificial reference surfaces, different measurement times in a day and different capturing directions regarding to solar trail. At three different times of the day, frontal images were captured from the sunlit side of the olive canopies in two azimuth directions. Two different stress indices of crop water stress index (CWSI) and stomatal conductance index (IG) were calculated using Tc and the temperatures of wet and dry reference surfaces. Trees in different stress levels discriminated better via mean canopy temperature (Tc) of morning measurements. At this time, Tc also provided higher correlated indices with stomatal conductance (SC) rather than those indices calculated based on Tc measured at noon and afternoon. Comparing two measurement directions, the first direction provided Tc with higher correlated indices at morning but the second direction at afternoon. In the most of the measurement conditions, stress indices calculated with air temperature plus five degrees as dry reference temperature had higher correlation with SC.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"283 - 299"},"PeriodicalIF":2.5,"publicationDate":"2020-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1768496","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49156186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thermoelastic effect in compacted steel wire ropes under uniaxial loading","authors":"Piotr Szade, Mariusz Szot, B. Kubiś","doi":"10.1080/17686733.2020.1768495","DOIUrl":"https://doi.org/10.1080/17686733.2020.1768495","url":null,"abstract":"ABSTRACT The aim of the research presented in this work was to verify the occurrence of the thermoelastic effect in compacted steel wire ropes for future research applications and TSA methods. It was examined using a Testo 890 thermal camera during tests consisting of 10 cycles of loading of rope samples to levels under the yield stress, performed on a tensile strength machine. Average measured changes of temperature caused by a 1000 MPa change of stress were 0.8 K during loading and 1.0 K during unloading. It was found that rapid unloading caused temperature changes that were closer to the theoretical values calculated for an isotropic body and adiabatic conditions. Probable reasons for those differences were investigated. Furthermore, temperatures of samples recorded after each cycle of loading were analysed. Heating of samples during cycles of elastic elongation was observed, pointing to exothermal processes taking place in the internal structure of the ropes. Application of IR cameras to detect dynamic load changes using the thermoelastic effect in steel wire ropes was proposed and evaluated. Usage of described novelty method in inspection of steel wire ropes during the operation was discussed.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"252 - 268"},"PeriodicalIF":2.5,"publicationDate":"2020-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1768495","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44155270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Theoretical basics of radiant heat transfer – practical examples of calculation for the infrared (IR) used in infrared thermography measurements","authors":"W. Minkina","doi":"10.1080/17686733.2020.1738164","DOIUrl":"https://doi.org/10.1080/17686733.2020.1738164","url":null,"abstract":"ABSTRACT The article presents the theoretical basics and definitions of radiant heat transfer with practical examples of calculation for the infrared (IR) used in infrared thermography measurements. In order to illustrate the practical possibilities of using the theoretical basics described for radiant heat transfer, the article presents some original, useful and practical examples including author’s methods regarding these calculations.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"269 - 282"},"PeriodicalIF":2.5,"publicationDate":"2020-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1738164","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42391907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Defect detection mechanisms with induction and conduction thermography: current flow and defect-specific warming","authors":"Johannes Ludwig Vrana, M. Goldammer","doi":"10.1080/17686733.2019.1635350","DOIUrl":"https://doi.org/10.1080/17686733.2019.1635350","url":null,"abstract":"ABSTRACT Active thermography with electromagnetic excitation, is a reliable non-destructive evaluation method with a wide range of applications. It allows detecting inhomogeneities, like cracks, at or close to the surface of conductive components fast and reliable utilizing infrared imaging. Electric current can be used in two ways for thermography: In induction thermography a current is coupled to the component by passing an AC current through a coil which is close to the inspected component, while in conduction thermography the current is coupled directly into the component. Over the past years the basics of electromagnetic excitation, including the influence of the material of the component to be tested and the necessary post-processing algorithms have been studied. In this paper parameter studies on a comprehensive variety of defect models and their detection mechanisms are presented. Starting with delamination type defects, both within a component and between a coating and the component. Continuing with crack type defects open to the surface, like the well-known slot and notch type cracks, contact-point and ‘area of reduced conductivity’ type cracks. For those types’ parameters like depth, width, length, inductor position, rotation, inclination, and conductivity are discussed. The paper concludes with sub-surface cracks and cracks hidden under non-conductive coatings.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"17 1","pages":"130 - 151"},"PeriodicalIF":2.5,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2019.1635350","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44226758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thermal imaging as a tool for process modelling: application to a flight rotary kiln","authors":"L. Le Guen, F. Huchet","doi":"10.1080/17686733.2019.1611222","DOIUrl":"https://doi.org/10.1080/17686733.2019.1611222","url":null,"abstract":"ABSTRACT The rotary kiln is widely used for the thermal treatment of granular materials in various industries. A better understanding of the heat transfer phenomena, both inside and outside of the industrial rotary kiln, will lead to developing sustainable production techniques, such as materials recycling and heat waste recovery. The present paper summarises two complementary works based on infrared measurements. The first, by Le Guen et al. [5], was conducted at the industrial scale and sought to correlate the external wall temperature with the thermal behaviour of rotary kilns. The second, by Huchet et al. [17], was performed at the pilot scale in order to derive the external heat transfer coefficient into heat waste recovery. A combination of these two approaches, based on a physical model of the full system at a large scale, is provided while the inherent energy efficiencies are calculated from the logarithmic mean temperature difference.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"17 1","pages":"79 - 95"},"PeriodicalIF":2.5,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2019.1611222","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45779181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical modelling and experimental evaluation of the composites using active infrared thermography with forced cooling","authors":"B. Szymanik, T. Chady, K. Gorący","doi":"10.1080/17686733.2019.1625243","DOIUrl":"https://doi.org/10.1080/17686733.2019.1625243","url":null,"abstract":"ABSTRACT Active infrared thermography is one of the methods of non-destructive testing widely used in modern industry. One of the basic advantages of this particular method is its versatility – it can be used for most of the materials regardless of their physical properties. Therefore, this technique is used for non-destructive testing of the composite structures, which lately became extremely important in many industry branches. In the case of the active thermography, the needed temperature difference is usually obtained by delivering the energy to the system (i.e. heating). However, this approach is not always possible and safe for the tested materials. In this article, we suggest applying cooling to achieve a temperature difference within the tested sample. First, we will present the results of the numerical modelling of the cooling process (and cooling combined with heating) in the layered composite structures, subsequently verified in a series of experiments.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"17 1","pages":"107 - 129"},"PeriodicalIF":2.5,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2019.1625243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47883895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. G. de Lima, Rêydila Barbosa, Mayara Pazin de Andrade Santos, B. Chee, W. L. Esteves Magalhães, D. Devine, M. Nugent
{"title":"Effect of unidirectional freezing using a thermal camera on polyvinyl (alcohol) for aligned porous cryogels","authors":"G. G. de Lima, Rêydila Barbosa, Mayara Pazin de Andrade Santos, B. Chee, W. L. Esteves Magalhães, D. Devine, M. Nugent","doi":"10.1080/17686733.2020.1732735","DOIUrl":"https://doi.org/10.1080/17686733.2020.1732735","url":null,"abstract":"ABSTRACT Unidirectional freeze casting for polymers and ceramics has been performed extensively; however, the mechanisms involved in unidirectional freezing are not thoroughly understood and therefore, in this study, polyvinyl (alcohol) hydrogels were freeze-thawed by unidirectional freezing and the resultant freezing profile was investigated using thermal imagery to comprehend the physical mechanism involved in the production of these aligned cryogels. The approach used follows a slight variation from what is currently used in literature, by enclosing the mould with insulating materials and leaving one side with a metal encasing for a fast freezing flow from the direction of the desired aligned of the structure. This method was cost-effective and simple; however, it was able to induce unidirectional freezing resulting in two distinct structures. These structures exhibited a cellular region interspersed with a fibrous and porous morphology. The method developed without the need of a freeze-dryer was confirmed to produce a unidirectional freezing which can be used for future studies.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"177 - 186"},"PeriodicalIF":2.5,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1732735","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41516449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Müller, A. Adibekyan, K. Anhalt, C. Baltruschat, B. Gutschwager, S. König, E. Kononogova, C. Monte, M. Reiniger, S. Schiller, D. Taubert, D. Urban, J. Hollandt
{"title":"Non-contact temperature measurement at the Physikalisch-Technische Bundesanstalt (PTB)","authors":"I. Müller, A. Adibekyan, K. Anhalt, C. Baltruschat, B. Gutschwager, S. König, E. Kononogova, C. Monte, M. Reiniger, S. Schiller, D. Taubert, D. Urban, J. Hollandt","doi":"10.1080/17686733.2020.1734392","DOIUrl":"https://doi.org/10.1080/17686733.2020.1734392","url":null,"abstract":"ABSTRACT At the Physikalisch-Technische Bundesanstalt, the National Metrology Institute of the Federal Republic of Germany, the traceability of non-contact temperature measurement to the International Temperature Scale (ITS-90) is realised without gaps over a temperature range from −170°C to 3000°C. In this paper the main calibration facilities for the calibration of radiation thermometers at temperatures above 1000°C and measurement of spectral radiance, the calibration of radiation thermometers at temperatures below 1000°C, the calibration of infrared thermographic cameras together with a method developed at PTB to correct the non-uniform response of sensor arrays, the calibration of infrared hyperspectral imagers for remote sensing, and emissivity measurement for industry and remote sensing are described. These facilities are tailored for different temperature ranges and different spectral ranges to meet the demand of industry and research for precise, practical non-contact temperature measurement.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"187 - 212"},"PeriodicalIF":2.5,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1734392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46977946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effectiveness of active dynamic and passive thermography in the detection of maxillary sinusitis","authors":"Jaspreet Singh, A. Arora","doi":"10.1080/17686733.2020.1736456","DOIUrl":"https://doi.org/10.1080/17686733.2020.1736456","url":null,"abstract":"ABSTRACT This paper presents a novel approach for sinusitis detection by means of thermography. So far, the role of passive static thermography (PST) for diagnosing the sinusitis has been remarked by many studies. But, it has not been proved as an effective approach for sinusitis detection. With this aim, the automatic and active dynamic thermography (ADT) based approach has been proposed. The study has four steps: (a) data acquisition, PST and ADT of 19 control subjects and 16 sinusitis patients; (b) automatic extraction of maxillary regions; (c) thermal data processing; and (d) thermal data analysis. The effectiveness of ADT and PST approach has been evaluated by comparing their outcomes with physical examinations. Consequently, PST shows failure in the detection of maxillary sinusitis, whereas the outcomes of ADT highly correlate with physical examinations. The frequency analysis of ADT data shows 90% accuracy for sinusitis detection with sensitivity and specificity of 77.27% and 95.83%, respectively. In ADT, it has been observed that the thermal profiles of sinusitis patients are significantly different from those of control group during self-warming phase. Hence, the study shows the encouraging results towards the application of ADT in the diagnosis of sinusitis.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"213 - 225"},"PeriodicalIF":2.5,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1736456","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46865667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep learning based thermal image segmentation for laboratory animals tracking","authors":"M. Mazur-Milecka, J. Rumiński","doi":"10.1080/17686733.2020.1720344","DOIUrl":"https://doi.org/10.1080/17686733.2020.1720344","url":null,"abstract":"ABSTRACT Automated systems for behaviour classification of laboratory animals are an attractive alternative to manual scoring. However, the proper animals separation and tracking, especially when they are in close contact, is the bottleneck of the behaviour analysis systems. In this paper, we propose a method for the segmentation of thermal images of laboratory rats that are in close contact during social behaviour tests. For this, we are using thermal imaging – a technology that requires neither light nor human presence. The aim of the study was: (1) an efficiency analysis of deep learning based image segmentation algorithms for the need of laboratory rats images, (2) analysis of different methods of original thermal data conversion to grey scale images for the purpose of the segmentation, (3) evaluation of the image data range impact on segmentation results using deep learning networks. We have trained U-Net and V-Net architectures with images obtained from different temperature ranges. The results indicate, that networks trained on images containing a narrow range of temperature data equal to animals’ body temperature or even its part, are able to better perform the object segmentation than networks trained on the original data.","PeriodicalId":54525,"journal":{"name":"Quantitative Infrared Thermography Journal","volume":"18 1","pages":"159 - 176"},"PeriodicalIF":2.5,"publicationDate":"2020-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/17686733.2020.1720344","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49223872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}