Publisher's Synopsis
Unlock the true potential of advanced thermal modeling and simulation with a comprehensive, code‐driven guide that propels you beyond the basics! Designed for engineers, researchers, and graduate students, this resource transforms complex thermodynamic and heat transfer challenges into manageable, Matlab-coded solutions. Dive into dozens of in‐depth chapters where every concept is paired with full Matlab code examples that let you:
- Solve Nonlinear State Equations: Master numerical root-finding algorithms that crack the complexity of equations of state like van der Waals and Redlich-Kwong.
- Implement Finite Difference and Volume Methods: Build robust simulations for 1D to multi-dimensional heat conduction challenges.
- Model Conjugate Heat Transfer: Seamlessly couple fluid and solid thermal domains for realistic energy exchange simulations.
- Simulate Thermal Cycles: Code complete Brayton, Rankine, Otto, and Diesel cycles for enhanced system performance insights.
- Optimize Thermal Designs: Leverage Matlab's optimization, neural networks, and genetic algorithms to fine-tune heat exchanger networks and energy systems.
- Integrate Symbolic and Numerical Techniques: Simplify and solve intricate radiative heat transfer and energy balance equations with advanced symbolic-numerical integration.
- Automate Parameter Sweeps and Sensitivity Analyses: Execute comprehensive simulations that explore the full design space, ensuring your models are both precise and robust.
Every example in this hands-on guide is meticulously engineered to bridge theory with practical application-empowering you to transform abstract equations into operational, high-precision code. Whether you're refining forced or natural convection models, constructing thermal resistance networks, or embarking on full-cycle thermal simulations, you'll find the cutting-edge tools you need to succeed.
