{"title":"HFITS:利用红外热成像技术计算平面热通量的分析工具","authors":"Parham Dehghani, Matthew J. DiDomizio","doi":"10.1016/j.softx.2024.101934","DOIUrl":null,"url":null,"abstract":"<div><div>HFITS is a software tool that supports experimental measurements of heat flux over planar surfaces using infrared thermography. This technique enables spatially and temporally resolved heat flux measurements at a higher resolution than arrays of traditional point sensors. The target audience is researchers and engineers in thermal engineering disciplines. Developed in Python with a graphical front end, the software is accessible both to advanced users as well as to users with a more fundamental knowledge of complex thermogram manipulation and heat transfer analysis methods. HFITS consists of two main components: pre-processing of infrared thermograms (obtained from heat transfer experiments), and inverse heat transfer analysis (to deduce heat flux over the planar surface in those experiments). The software offers comprehensive functionalities, including support for metadata handling, a graphical interface for selection of regions of interest, the ability to import additional temperature measurements to enhance convective heat transfer estimates, and the exporting of both computed field data and contour videos. This open-source software broadens access to advanced experimental and analytical techniques to support thermal analyses in a wide range of engineering and research applications.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"28 ","pages":"Article 101934"},"PeriodicalIF":2.4000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"HFITS: An analysis tool for calculating heat flux to planar surfaces using infrared thermography\",\"authors\":\"Parham Dehghani, Matthew J. DiDomizio\",\"doi\":\"10.1016/j.softx.2024.101934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>HFITS is a software tool that supports experimental measurements of heat flux over planar surfaces using infrared thermography. This technique enables spatially and temporally resolved heat flux measurements at a higher resolution than arrays of traditional point sensors. The target audience is researchers and engineers in thermal engineering disciplines. Developed in Python with a graphical front end, the software is accessible both to advanced users as well as to users with a more fundamental knowledge of complex thermogram manipulation and heat transfer analysis methods. HFITS consists of two main components: pre-processing of infrared thermograms (obtained from heat transfer experiments), and inverse heat transfer analysis (to deduce heat flux over the planar surface in those experiments). The software offers comprehensive functionalities, including support for metadata handling, a graphical interface for selection of regions of interest, the ability to import additional temperature measurements to enhance convective heat transfer estimates, and the exporting of both computed field data and contour videos. This open-source software broadens access to advanced experimental and analytical techniques to support thermal analyses in a wide range of engineering and research applications.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"28 \",\"pages\":\"Article 101934\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024003042\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003042","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
HFITS: An analysis tool for calculating heat flux to planar surfaces using infrared thermography
HFITS is a software tool that supports experimental measurements of heat flux over planar surfaces using infrared thermography. This technique enables spatially and temporally resolved heat flux measurements at a higher resolution than arrays of traditional point sensors. The target audience is researchers and engineers in thermal engineering disciplines. Developed in Python with a graphical front end, the software is accessible both to advanced users as well as to users with a more fundamental knowledge of complex thermogram manipulation and heat transfer analysis methods. HFITS consists of two main components: pre-processing of infrared thermograms (obtained from heat transfer experiments), and inverse heat transfer analysis (to deduce heat flux over the planar surface in those experiments). The software offers comprehensive functionalities, including support for metadata handling, a graphical interface for selection of regions of interest, the ability to import additional temperature measurements to enhance convective heat transfer estimates, and the exporting of both computed field data and contour videos. This open-source software broadens access to advanced experimental and analytical techniques to support thermal analyses in a wide range of engineering and research applications.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.