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Modeling thermal regulation in thin vascular systems: A mathematical analysis

Kalyana B. Nakshatrala

TL;DR

The paper develops a reduced-order, two-dimensional mathematical framework for thermal regulation in thin vascular systems, allowing the inlet temperature to differ from ambient. Through a Galerkin weak formulation, it establishes minimum, maximum, and comparison principles that yield pointwise and global bounds on temperature, including mean and outlet values, and demonstrates well-posedness (with and without nonlinear radiation). It reveals that standard efficiency metrics can violate intuitive bounds and proposes temperature-based alternatives for both active cooling and active heating. The results provide qualitative guarantees and design guidance for synthetic vascular thermal-regulation devices, with extensions to nonlinear radiation and special-case analyses offering insights into how inlet, ambient, and heat-source configurations shape performance.

Abstract

Mimicking vascular systems in living beings, designers have realized microvascular composites to achieve thermal regulation and other functionalities, such as electromagnetic modulation, sensing, and healing. Such material systems avail circulating fluids through embedded vasculatures to accomplish the mentioned functionalities that benefit various aerospace, military, and civilian applications. Although heat transfer is a mature field, control of thermal characteristics in synthetic microvascular systems via circulating fluids is new, and a theoretical underpinning is lacking. What will benefit designers are predictive mathematical models and an in-depth qualitative understanding of vascular-based active cooling/heating. So, the central focus of this paper is to address the remarked knowledge gap. \emph{First}, we present a reduced-order model with broad applicability, allowing the inlet temperature to differ from the ambient temperature. \emph{Second}, we apply mathematical analysis tools to this reduced-order model and reveal many heat transfer properties of fluid-sequestered vascular systems. We derive point-wise properties (minimum, maximum, and comparison principles) and global properties (e.g., bounds on performance metrics such as the mean surface temperature and thermal efficiency). These newfound results deepen our understanding of active cooling/heating and propel the perfecting of thermal regulation systems.

Modeling thermal regulation in thin vascular systems: A mathematical analysis

TL;DR

The paper develops a reduced-order, two-dimensional mathematical framework for thermal regulation in thin vascular systems, allowing the inlet temperature to differ from ambient. Through a Galerkin weak formulation, it establishes minimum, maximum, and comparison principles that yield pointwise and global bounds on temperature, including mean and outlet values, and demonstrates well-posedness (with and without nonlinear radiation). It reveals that standard efficiency metrics can violate intuitive bounds and proposes temperature-based alternatives for both active cooling and active heating. The results provide qualitative guarantees and design guidance for synthetic vascular thermal-regulation devices, with extensions to nonlinear radiation and special-case analyses offering insights into how inlet, ambient, and heat-source configurations shape performance.

Abstract

Mimicking vascular systems in living beings, designers have realized microvascular composites to achieve thermal regulation and other functionalities, such as electromagnetic modulation, sensing, and healing. Such material systems avail circulating fluids through embedded vasculatures to accomplish the mentioned functionalities that benefit various aerospace, military, and civilian applications. Although heat transfer is a mature field, control of thermal characteristics in synthetic microvascular systems via circulating fluids is new, and a theoretical underpinning is lacking. What will benefit designers are predictive mathematical models and an in-depth qualitative understanding of vascular-based active cooling/heating. So, the central focus of this paper is to address the remarked knowledge gap. \emph{First}, we present a reduced-order model with broad applicability, allowing the inlet temperature to differ from the ambient temperature. \emph{Second}, we apply mathematical analysis tools to this reduced-order model and reveal many heat transfer properties of fluid-sequestered vascular systems. We derive point-wise properties (minimum, maximum, and comparison principles) and global properties (e.g., bounds on performance metrics such as the mean surface temperature and thermal efficiency). These newfound results deepen our understanding of active cooling/heating and propel the perfecting of thermal regulation systems.
Paper Structure (20 sections, 10 theorems, 103 equations, 6 figures, 1 table)

This paper contains 20 sections, 10 theorems, 103 equations, 6 figures, 1 table.

Key Result

Theorem 3.1

Let $f(\mathbf{x}) \in L_2(\Omega)$ and $q_{\mathrm{p}}(\mathbf{x}) \in L_2(\Gamma^{q})$, and $\vartheta(\mathbf{x}) \in C^{1}(\Omega\setminus\Sigma) \cap C^{0}(\overline{\Omega})$ be a solution of the Galerkin weak formulation. If then the solution field $\vartheta(\mathbf{x})$ satisfies the following lower bound:

Figures (6)

  • Figure 1: This figure illustrates a vascular-based thermal regulation setup. The three-dimensional body with thickness $d$ is denoted by $\mathcal{B}$, the mid-surface is by $\Omega$, and the vasculature is by $\Sigma$.
  • Figure 2: The vasculature $\Sigma$ divides the domain into two subdomains, denoted by $-$ and $+$. The concomitant outward unit normals for these subdomains at a spatial point $\mathbf{x}$ are denoted by $\widehat{\mathbf{n}}^{-}(\mathbf{x})$ and $\widehat{\mathbf{n}}^{+}(\mathbf{x})$. The arc-length, denoted by $s$, is used to parameterize the curve $\Sigma$ with $s = 0$ denoting the inlet while $s = 1$ the outlet. The unit tangent vector at $\mathbf{x}$ along increasing $s$ is denoted by $\widehat{\mathbf{t}}(\mathbf{x})$.
  • Figure 3: The figure show the energy balance for a differential segment $\mathrm{d}s$ of the vasculature $\Sigma$. The regions on the either side of the vasculature are denoted by "$+$" and "$-$".
  • Figure 4: This figure illustrates one of the main findings of this paper: the outlet temperature can be lower than the inlet temperature (i.e., $\vartheta_{\mathrm{outlet}} \leq \vartheta_{\mathrm{inlet}}$) even under a heat source. (A) A pictorial description of the boundary value problem, showing the vasculature and the locations of the inlet and outlet. Only one-fourth of the domain is exposed to a constant heat source as indicated. All the lateral boundaries are adiabatic. (B) The temperature field in the domain is shown, indicating the inlet and outlet temperatures.
  • Figure 5: This figure shows that the widely used definition for efficiency could render a value greater than unity. (A) A pictorial description of the boundary value problem. The parameters used in this simulation are the same as provided in Table \ref{['Table:ROM_Qualitative_Simulation_parameters']} except for $\vartheta_{\mathrm{inlet}} = 280 \; \mathrm{K}$ and the applied heat flux $f_0 = 500$$\mathrm{W/m^2}$ is over the entire domain. The calculated efficiency is $\eta^{e} = 1.24$ (cf. Eq. \ref{['Eqn:ROM_standard_efficiency_general']}). (B) The profile of the difference between the spatial temperature field and the ambient temperature (i.e., $\vartheta(\mathbf{x}) - \vartheta_{\mathrm{amb}}$) is shown. There are regions where this difference is negative, implying that the heat flows into the body from the ambient space. At the same time, there are other regions where this difference is positive. It so happens that the net heat transfer is into the system from the ambient space. Given that the lateral boundaries are adiabatic, energy balance implies that the flowing fluid extracts this heat from the ambient besides the heat from the heater, rendering the efficiency $\eta^{e}$ greater than the unity.
  • ...and 1 more figures

Theorems & Definitions (20)

  • Theorem 3.1: A minimum principle
  • proof
  • Corollary 3.2: Non-negative solutions
  • proof
  • Theorem 3.3: A maximum principle
  • proof
  • Theorem 3.4: A comparison principle
  • proof
  • Theorem 3.5: Uniqueness of solutions
  • proof
  • ...and 10 more