Thermohydrodynamic Programming and Constructal Design in Microsystems

1. Introduction to Constructal Theory in Microsystems

1.1 Overview - Thermohydrodynamic Management in Microsystems

1.1.1 Miniaturization and Design Configuration

1.1.2 Scaling Effects: Constructal Law vs. Fractal Theory

1.1.3 Counterbalances and Heuristics in Microsystems

1.2 Entropy Generation Minimization (EGM)

1.3 Efficiency, Territory and Compactness

1.3.1 Point-to-Point Flow

1.3.2 Management of Imperfections

1.4 Constructal Law, Field Synergy and Entransy

2. Highly Conductive Thermal Inserts and Conjugated Conduction-Convection Design

2.1 Thermal Inserts - Hierarchical Ramification

2.1.1 Rectangular Units

2.1.2 Elemental Construct - Optimum Geometric Configuration

2.1.3 Other Derivatives

2.2 Conjugated Conduction-Convection Design

2.2.1 Staggered Pin Fin Array

2.2.2.Axial Profile Optimization of Pin Fin

2.2.3 T-Type Cavity

2.2.3 Flush-Mounted Discrete Heat Sources

2.2.5 Insulation with Respect to Temperature Peak, Temperature Gradient and Wall Stress

3. Thermo-hydrodynamics for Single Phase Convection in Microchannel Networks

3.1 Thermo-hydrodynamics of Single-phase Convection in Microchannels

3.1.1 Fundamentals of Single-phase Flow in Microchannels

3.1.2 Single-phase Convection Heat Transfer in Microchannels

3.2 Limitation of EGM based Design Optimization: An Exemplary Case on Staggered Pin Fin Array in Microchannels

3.3 Characteristics of Constructal Convection Networks

3.4 Convection Tree Design

3.4.1 Comb-like Point-Area/Volume-Point Heat Sink

3.4.2 Dichotomic Flow Hierarchy from Point Source to Circular Periphery Sink

3.4.3 Boundary Adaptation

3.5 Size Limit for Miniaturization

4. Two-Phase Flow in Micro and Nano Scale

4.1 Vascular Network and Transpiration Tree

4.1.1 Capillary Dynamics

4.1.2 Constructal Capillary Network

4.1.3 Transpiration and Cavitation

4.2 Wick Design for Loop Heat Pipe

4.3 Contact Line Region

4.4 Interfacial Modelling – Many-body Dissipative Particle Dynamics

5. Design Optimization Techniques

5.1 Population-based Pareto Algorithms

5.1.1 Mixed Integer Non-linear Programming

5.1.2 Genetic Algorithm

5.1.3 Particle Swarm Optimization Algorithm

5.1.4 Non-dominated Sorting

5.2 Normal Boundary Intersection & Normalized Normal Constraint