Termodinâmica Aplicada

O objetivo deste site é disponibilizar os recursos computacionais da disciplina de Termodinâmica Aplicada do Departamento de Engenharia Química e de Petróleo da UFF (Universidade Federal Fluminense). No site é disponibilizado um breve tutorial sobre python, jupyter e scilab, julia e octave. Os códigos são separados em tópicos, de acordo com os temas mostrados no Conteúdo, disponibilizado no tópico seguinte. Veja também o meu canal no youtube CodeLine#py.

Conteúdo

Capítulo 1 - Introdução e Conceitos Básicos

1.1 Introdução e Conceitos Básicos

1.2 Enegria Interna 1.3 Entalpia 1.4 Capacidade Calorífica 1.5 Processos 1.1 Getting Started with Python and Jupyter Notebooks 1.2 Python Basics 1.3 Python Conditionals and Libraries 1.4 Python Numeric Integration Revisited Chapter 2.0 Process Modeling 2.1 Process Variables 2.2 Gravity Drained Tank 2.3 Blending Tank Simulation 2.4 Continuous Product Blending 2.5 Hare and Lynx Population Dynamics 2.6 Exothermic Continuous Stirred Tank Reactor 2.7 Fed-Batch Bioreactor 2.8 Model Library Chapter 3.0 Linearization 3.1 Step Response of a Gravity Drained Tank 3.2 Linear Approximation of a Process Model 3.3 Linear Approximation of a Multivariable Model 3.4 Fitting First Order plus Time Delay to Step Response 3.5 One Compartment Pharmacokinetics 3.6 Second Order Models 3.7 Interacting Tanks 3.8 Manometer Models and Dynamics 3.9 Modeling and Control of a Campus Outbreak of Coronavirus COVID-19 Chapter 4.0 PID Control 4.1 Implementing PID Controllers with Python Yield Statement 4.2 PID Control with Setpoint Weighting 4.3 PID Control with Bumpless Transfer 4.4 PID Control with Anti-Reset-Windup 4.5 Realizable PID Control 4.6 PID Controller Tuning 4.10 PID Control - Laboratory 4.11 Implementing PID Control in Nonlinear Simulations 4.12 Interactive PID Control Tuning with Ziegler-Nichols Chapter 5.0 Frequency Domain Control Design 5.1 Getting Started with Transfer Functions 5.2 Closed-Loop Transfer Functions for Car Cruise Control 5.3 Creating Bode Plots 5.4 Controller Tuning Rules in Frequency Domain 5.5 Baroreflex as a Linear Control System Chapter 6.0 Optimization 6.1 Unconstrained Scalar Optimization 6.2 Linear Production Model 6.3 Linear Programming 6.4 Linear Production Model in Pyomo 6.4 Linear Programming in Pyomo 6.6 Linear Blending Problem 6.7 Design of a Cold Weather Fuel 6.8 Gasoline Blending 6.99 Pyomo Examples Chapter 7.0 Simulation and Optimal Control 7.1 Simulation and Optimal Control in Pharmacokinetics 7.2 Soft Landing a Rocket 7.3 Simulation in Pyomo 7.4 Simulation of an Exothermic CSTR 7.5 First Order System in Pyomo 7.6 Path Planning for a Simple Car 7.7 Transient Heat Transfer in Various Geometries 7.8 Path Constraints Chapter 8.0 Predictive Control 8.1 Zero-Order Hold and Interpolation

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