Constructal distribution of multi-layer insulation
Open accessAbstract
Here, we show how to distribute multiple layers of insulation along a nonisothermal enclosure so that the total heat loss is minimal. The types and total amounts of insulation materials are fixed. Variables are the thicknesses of the insulation layers, their relative amounts, the temperature of the insulated surface, and the cross-sectional area of the enclosure. We show that, first, the structure of the multi-layer insulation must be such that the thicknesses of all the layers vary in the same way in the longitudinal direction x. Second, the x dependence of the enclosure cross-sectional area has a significant effect on the heat loss reduction associated with using the distributed insulation design. Greater reductions in heat loss are obtained when the enclosure is tapered such that it is narrower in the direction of the warm end. Third, the x dependence of the temperature distribution along the insulated wall has a significant effect on the reduction in heat loss through reduction in heat loss through the multi-layer insulation. Greater reductions are obtained when the wall temperature distribution is more convex. Even greater reductions in heat loss are possible when the three design features summarized previously are implemented simultaneously. Copyright © 2011 John Wiley & Sons, Ltd.
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Multi-layer insulation is considered the most effective way of heat insulation in high vacuum cryogenic systems and is widely utilized in these systems.
“Multi-layer insulation is considered as the most effective way of heat insulation in high vacuum cryogenic systems and is widely utilized in these systems [1,2,3].”
From Design of a multi-layer insulation(MLI) measurement system with a G-M cryocooler (2019) · cites this paper as [2]
The Introduction (page unavailable) studies multi-layer insulation for heated enclosures, particularly reheating furnaces. Neither it nor the Conclusions (page unavailable) addresses high-vacuum cryogenic systems or says multi-layer insulation is their most effective or widely used option; searches for those terms found no supporting passage. (LLM, conf=0.77)
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Research works printed but not linked: 24
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Cited by
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Design of a multi-layer insulation(MLI) measurement system with a G-M cryocooler
Li, X., Xu, D., Shen, F., Liu, H., & Li, L. (2019) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/502/1/012075 · Cited by 7 · see citing works
- Authors
- Kang, D.-H., Lorente, S., & Bejan, A.
- Affiliations
- Duke University (US)
- Université Toulouse III - Paul Sabatier (FR)
- Corresponding author
- Bejan, Adrian
- Venue
- International Journal of Energy Research
- Publisher
- Hindawi Limited
- Published
- 2011-09-19
- Volume
- 37
- Issue
- 2
- Pages
- 153-160
- ISSN
- 0363-907X (ISSN-L)
- OpenAlex
- W1797257030
- Cited by
- 30
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 7 · 2016: 3 · 2015: 3 · 2014: 5 · 2012: 3
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Energy Research (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Heat Transfer and Numerical Methods
- Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Keywords
- multilayer insulation, constructal design, heat loss reduction, wall temperature distribution, cross-sectional area variation, thermal insulation design
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