Modeling Thermal Storage in Wax-Impregnated Foams with a Pore-Scale Submodel

Jackson, Galen R.; Smith, Kyle C.; McCarthy, Patrick C.; Fisher, Timothy S.

doi:10.2514/1.t4523

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…To predict the effective thermal conductivities of composite materials, the factors, including the thermal conductivity, size, and distribution of the inclusion, that may affect the effective thermal conductivities should be considered [111]. The effective medium theory [112] is one of the traditional methods to predict the effective thermal conductivities of composite materials.…”

Section: Maxwell Schemementioning

confidence: 99%

Optimal Design of Functionally Graded Parts

Nayak

Armani

2022

Metals

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Several additive manufacturing processes are capable of fabricating three-dimensional parts with complex distribution of material composition to achieve desired local properties and functions. This unique advantage could be exploited by developing and implementing methodologies capable of optimizing the distribution of material composition for one-, two-, and three-dimensional parts. This paper is the first effort to review the research works on developing these methods. The underlying components (i.e., building blocks) in all of these methods include the homogenization approach, material representation technique, finite element analysis approach, and the choice of optimization algorithm. The overall performance of each method mainly depends on these components and how they work together. For instance, if a simple one-dimensional analytical equation is used to represent the material composition distribution, the finite element analysis and optimization would be straightforward, but it does not have the versatility of a method which uses an advanced representation technique. In this paper, evolution of these methods is followed; noteworthy homogenization approaches, representation techniques, finite element analysis approaches, and optimization algorithms used/developed in these studies are described; and most powerful design methods are identified, explained, and compared against each other. Also, manufacturing techniques, capable of producing functionally graded materials with complex material distribution, are reviewed; and future research directions are discussed.

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Section: Maxwell Schemementioning

confidence: 99%

Optimal Design of Functionally Graded Parts

Nayak

Armani

2022

Metals

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“…In a phase transition, changes in volume are neglected for convenience, and hence the geometry remains a rigid container. Using an approach similar to the enthalpy method (Jackson and Fisher, 2015), an effective specific heat c p,eff is introduced. We consider a temperature window around the true melting point in which the lower side temperature T m1 and the higher side temperature T m2 are critical.…”

Section: Modeling Of Phase-change Materials Lumped Mass Modelmentioning

confidence: 99%

Ragone Relations for Thermal Energy Storage Technologies

2019

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The Ragone relation is a facile approach to assess and compare electro-chemical battery performance in terms of two critical performance parameters: power density and energy density. This power and energy nexus is equally relevant for thermal energy storage materials for thermal management applications that require a balance between energy storage capacity and on-demand cooling or heating rates. Here, thermal energy storage is evaluated for sensible heating and for phase-change materials (PCMs). We propose an analytic expression using a lumped mass model for thermal storage through an analogy with heat diffusion that allows for intuitive mapping of materials and components in power-energy space. In addition, a previously proposed figure-of-merit, η q , describing the intrinsic capability of PCMs to rapidly absorb or discharge heat is placed in the context of the thermal Ragone (power-energy) relation. This figure of merit serves as a proxy for the cooling power of PCMs and single-phase materials to store thermal energy. Thus, η q plotted against energy density can serve graphically to illustrate performance tradeoffs between different thermal storage materials, as well as composites composed of different materials.

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Response of Phase-Change-Material-Filled Porous Foams Under Transient Heating Conditions

Jackson

Fisher

2016

Journal of Thermophysics and Heat Transfer

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Modeling Thermal Storage in Wax-Impregnated Foams with a Pore-Scale Submodel

Cited by 5 publications

References 25 publications

Optimal Design of Functionally Graded Parts

Optimal Design of Functionally Graded Parts

Ragone Relations for Thermal Energy Storage Technologies

Response of Phase-Change-Material-Filled Porous Foams Under Transient Heating Conditions

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