Inverse Radiative Heat Transfer
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Existing thermal indices applied with pigs normally include two or three environmental parameters, which are unilateral from the perspective of heat exchange.
“they normally include two or three environmental parameters, which are unilateral from the perspective of heat exchange [22,23]”
From Modeling of Heat Stress in Sows—Part 1: Establishment of the Prediction Model for the Equivalent Temperature Index of the Sows (2021) · cites this paper as [23]
The total heat dissipation of the sow is affected by convective heat transfer, radiation heat transfer, heat conduction and respiratory heat transfer, and these forms of heat dissipation are affected by environmental factors such as air temperature, relative humidity, and airflow velocity.
“The total heat dissipation of the sow will be affected by the sow’s convective heat transfer, radiation heat transfer, heat conduction and respiratory heat transfer [22,23,29], and those forms of heat dissipation will be affected by environmental factors such as air temperature, relative humidity airflow velocity and so on.”
From Modeling of Heat Stress in Sows—Part 1: Establishment of the Prediction Model for the Equivalent Temperature Index of the Sows (2021) · cites this paper as [23]
The heat dissipation process of the sow is not only related to the ambient temperature.
“but the heat dissipation process of the sow is not only related to the ambient temperature [22,23,29]”
From Modeling of Heat Stress in Sows—Part 1: Establishment of the Prediction Model for the Equivalent Temperature Index of the Sows (2021) · cites this paper as [23]
The high computational costs of radiative transfer calculations are because numerical schemes such as the Discrete Ordinate Method require angular discretization in addition to spatial discretization.
“The reason for the high computational costs of radiative transfer calculations is that numerical schemes as the Discrete Ordinate Method (DOM) require an angular discretization in addition to the discretization of space [115,200].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [200]
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- Authors
- Modest, M. F.
- Affiliations
- University of California, Merced (US)
- Corresponding author
- Modest, Michael F
- ORCID
- Modest, Michael F
- Venue
- Radiative Heat Transfer
- Publisher
- Elsevier
- Published
- 2013
- Pages
- 779-802
- OpenAlex
- W2586138158
- Cited by
- 741
- References
- 105
- Citations by year
- 2026: 61 · 2025: 67 · 2024: 53 · 2023: 86 · 2022: 86 · 2021: 83 · 2020: 82 · 2019: 67 · 2018: 53 · 2017: 30 · 2016: 22 · 2015: 12 · 2014: 35 · 2013: 1 · 2012: 1
- FWCI
- 74.10
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Radiative Heat Transfer Studies
- Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
- Physical Sciences › Engineering › Computational Mechanics › Heat Transfer and Numerical Methods
- Keywords
- radiation intensity, radiative heat flux, radiative properties, temperature field reconstruction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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