Free Download Thermodynamics and Heat Transfer (Mechanical Engineering Essentials with Python) by Jamie Flux
English | September 9, 2024 | ISBN: N/A | ASIN: B0DGK7DLW9 | PDF | 5.00 Mb
Key Features:
– A comprehensive guide to essential topics in thermodynamics and heat transfer.
– Step-by-step Python code accompanies each chapter, allowing for hands-on learning and the ability to simulate complex scenarios.
– Clear explanations of complex equations and principles make advanced concepts accessible.
– Application-focused approach to bridge the gap between theory and practice.
What You Will Learn:
– Gain insights into the Zeroth Law of Thermodynamics and the concept of temperature equilibrium.
– Comprehend the Ideal Gas Law and its applications in calculating thermodynamic properties.
– Explore the principles of the First Law of Thermodynamics for energy conservation.
– Calculate work and understand its effects on system energy with the Work-Energy Principle.
– Delve into the modes of heat transfer: conduction, convection, and radiation.
– Master the Thermal Conductivity Equation for quantifying conductive heat transfer.
– Apply Fourier’s Law to steady-state heat conduction analysis.
– Utilize Newton’s Law of Cooling in convective transfer applications.
– Determine flow regimes using the Reynolds Number.
– Design efficient systems with Heat Exchanger Design Equations.
– Analyze entropy and irreversibility through the Second Law of Thermodynamics.
– Calculate theoretical efficiency using the Carnot Cycle.
– Determine entropy changes across various processes.
– Bridge thermodynamic properties with Maxwell’s Relations.
– Predict phase transitions using the Clausius-Clapeyron Equation.
– Navigate humidity calculations with the Psychrometric Chart.
– Utilize Thermodynamic Property Tables for engineering problem-solving.
– Analyze the Rankine Cycle for steam power applications.
– Evaluate Heat Pump and Refrigeration Cycles with efficiency coefficients.
– Understand Thermodynamic Potentials like Gibbs free energy.
– Apply Finite Difference Methods for complex heat transfer problems.
– Conduct Energy Balance Analysis for open systems.
– Simplify analysis with the Lumped Capacitance Method.
– Evaluate Heat Transfer in Insulated Pipes.
– Explore Stefan-Boltzmann Law for thermal radiation effects.
– Study radiation’s spectral distribution with Planck’s Law.
– Solve Transient Heat Conduction problems analytically and numerically.
– Simplify complex problems using Dimensional Analysis.
– Compute Nusselt Numbers for various convective heat configurations.
– Master the equations governing Boiling and Condensation.
– Design and analyze Heat Pipe systems.
– Formulate Thermal Resistances Networks for system analysis.
– Assess energy degradation with Entropy Generation and perform Exergy Analysis.
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