Matteo Moscheni, Erik Maartensson, Matthew Robinson, Chris Marsden, Adrian Rengle, Travis Kelly Gray, Andrea Scarabosio, Elena Vekshina, Xin Zhang
{"title":"ST40 中的红外热成像反转","authors":"Matteo Moscheni, Erik Maartensson, Matthew Robinson, Chris Marsden, Adrian Rengle, Travis Kelly Gray, Andrea Scarabosio, Elena Vekshina, Xin Zhang","doi":"arxiv-2409.04278","DOIUrl":null,"url":null,"abstract":"A new tool for infra-red thermographic inversion on Tokamak Energy's\nspherical tokamak, ST40, is developed in-house and here presented. Functional\nAnalysis of Heat Flux (FAHF) is written in Python, and configured for multi-2D\nthermographic inversions, solving the heat conduction equation within the\ndivertor tiles via the finite difference method, and leveraging an explicit\ntime-marching scheme. Using infra-red camera data of the highest effective\nspatial resolution available, FAHF ultimately outputs the plasma perpendicular\nheat flux on the divertor, crucial quantity in any edge plasma investigation.\nIn the present work, the internal numerics of the tool is first successfully\nverified by formal time and space convergence analyses, and corroborated by an\nenergy balance assessment. A significant sensitivity of the perpendicular heat\nflux computed by FAHF to the user-selected spatial resolution is then\nevidenced. However, a precise heat flux is proved to be recoverable by ensuring\na sufficiently high resolution. Last, the appropriateness of the model/geometry\nsimplifications adopted in FAHF is successfully confirmed, by means of\ncomparison against COMSOL Multiphysics simulations. FAHF is hence conclusively\nproven to qualify as a precise and accurate tool for infra-red thermographic\ninversions.","PeriodicalId":501274,"journal":{"name":"arXiv - PHYS - Plasma Physics","volume":"66 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Infra-red thermographic inversion in ST40\",\"authors\":\"Matteo Moscheni, Erik Maartensson, Matthew Robinson, Chris Marsden, Adrian Rengle, Travis Kelly Gray, Andrea Scarabosio, Elena Vekshina, Xin Zhang\",\"doi\":\"arxiv-2409.04278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new tool for infra-red thermographic inversion on Tokamak Energy's\\nspherical tokamak, ST40, is developed in-house and here presented. Functional\\nAnalysis of Heat Flux (FAHF) is written in Python, and configured for multi-2D\\nthermographic inversions, solving the heat conduction equation within the\\ndivertor tiles via the finite difference method, and leveraging an explicit\\ntime-marching scheme. Using infra-red camera data of the highest effective\\nspatial resolution available, FAHF ultimately outputs the plasma perpendicular\\nheat flux on the divertor, crucial quantity in any edge plasma investigation.\\nIn the present work, the internal numerics of the tool is first successfully\\nverified by formal time and space convergence analyses, and corroborated by an\\nenergy balance assessment. A significant sensitivity of the perpendicular heat\\nflux computed by FAHF to the user-selected spatial resolution is then\\nevidenced. However, a precise heat flux is proved to be recoverable by ensuring\\na sufficiently high resolution. Last, the appropriateness of the model/geometry\\nsimplifications adopted in FAHF is successfully confirmed, by means of\\ncomparison against COMSOL Multiphysics simulations. FAHF is hence conclusively\\nproven to qualify as a precise and accurate tool for infra-red thermographic\\ninversions.\",\"PeriodicalId\":501274,\"journal\":{\"name\":\"arXiv - PHYS - Plasma Physics\",\"volume\":\"66 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Plasma Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.04278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Plasma Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.04278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new tool for infra-red thermographic inversion on Tokamak Energy's
spherical tokamak, ST40, is developed in-house and here presented. Functional
Analysis of Heat Flux (FAHF) is written in Python, and configured for multi-2D
thermographic inversions, solving the heat conduction equation within the
divertor tiles via the finite difference method, and leveraging an explicit
time-marching scheme. Using infra-red camera data of the highest effective
spatial resolution available, FAHF ultimately outputs the plasma perpendicular
heat flux on the divertor, crucial quantity in any edge plasma investigation.
In the present work, the internal numerics of the tool is first successfully
verified by formal time and space convergence analyses, and corroborated by an
energy balance assessment. A significant sensitivity of the perpendicular heat
flux computed by FAHF to the user-selected spatial resolution is then
evidenced. However, a precise heat flux is proved to be recoverable by ensuring
a sufficiently high resolution. Last, the appropriateness of the model/geometry
simplifications adopted in FAHF is successfully confirmed, by means of
comparison against COMSOL Multiphysics simulations. FAHF is hence conclusively
proven to qualify as a precise and accurate tool for infra-red thermographic
inversions.