{"title":"Second-law Considerations in Monte Carlo Ray-trace and Discrete Green's Function Analysis of Coupled Radiation and Conduction Heat Transfer","authors":"B. Vick, J. Mahan, M. Yarahmadi, K. Priestley","doi":"10.1115/1.4062174","DOIUrl":null,"url":null,"abstract":"\n A new generic Monte Carlo ray-trace (MCRT) engine for computing radiation distribution factors (RDFs) working in tandem with an efficient finite-volume formulation based on discrete Green's functions (DGFs) has facilitated solution of massive (thousands of nodes) coupled radiation and conduction heat transfer problems. The MCRT method produces RDFs whose accuracy depends on the number of rays traced per surface element and the number of surface elements. Solution of pure radiation problems using RDFs is unconditionally stable and the uncertainty of results obtained is well documented in the literature. However, when RDFs are used in conjunction with time-dependent finite-volume conduction formulations based on DGFs, errors result due to local violations of the second law of thermodynamics related to small imbalances in RDF reciprocity. Described is a novel approach to eliminating RDF reciprocity imbalances without violating the first law of thermodynamics. The approach is demonstrated for dynamic thermal analysis of an Earth radiation budget instrument concept composed of 2636 surface elements and a similar number of volume elements.","PeriodicalId":15937,"journal":{"name":"Journal of Heat Transfer-transactions of The Asme","volume":"22 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Heat Transfer-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062174","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
A new generic Monte Carlo ray-trace (MCRT) engine for computing radiation distribution factors (RDFs) working in tandem with an efficient finite-volume formulation based on discrete Green's functions (DGFs) has facilitated solution of massive (thousands of nodes) coupled radiation and conduction heat transfer problems. The MCRT method produces RDFs whose accuracy depends on the number of rays traced per surface element and the number of surface elements. Solution of pure radiation problems using RDFs is unconditionally stable and the uncertainty of results obtained is well documented in the literature. However, when RDFs are used in conjunction with time-dependent finite-volume conduction formulations based on DGFs, errors result due to local violations of the second law of thermodynamics related to small imbalances in RDF reciprocity. Described is a novel approach to eliminating RDF reciprocity imbalances without violating the first law of thermodynamics. The approach is demonstrated for dynamic thermal analysis of an Earth radiation budget instrument concept composed of 2636 surface elements and a similar number of volume elements.
期刊介绍:
Topical areas including, but not limited to: Biological heat and mass transfer; Combustion and reactive flows; Conduction; Electronic and photonic cooling; Evaporation, boiling, and condensation; Experimental techniques; Forced convection; Heat exchanger fundamentals; Heat transfer enhancement; Combined heat and mass transfer; Heat transfer in manufacturing; Jets, wakes, and impingement cooling; Melting and solidification; Microscale and nanoscale heat and mass transfer; Natural and mixed convection; Porous media; Radiative heat transfer; Thermal systems; Two-phase flow and heat transfer. Such topical areas may be seen in: Aerospace; The environment; Gas turbines; Biotechnology; Electronic and photonic processes and equipment; Energy systems, Fire and combustion, heat pipes, manufacturing and materials processing, low temperature and arctic region heat transfer; Refrigeration and air conditioning; Homeland security systems; Multi-phase processes; Microscale and nanoscale devices and processes.