| Code |
16155
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| Year |
3
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| Semester |
S1
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| ECTS Credits |
1,5
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| Workload |
PL(15H)
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| Scientific area |
MECÂNICA COMPUTACIONAL
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Entry requirements |
It is assumed that students are familiar with thermodynamic analysis
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Learning outcomes |
To equip students with the ability to autonomously solve Applied Thermodynamics problems whose solutions cannot be obtained through simple mathematical analysis, using numerical and computational methods. This implies:
• Developing skills to solve Applied Thermodynamics problems using numerical methods.
• Being able to analyze a thermodynamic problem, identify relevant variables and relationships, and design a suitable numerical algorithm to solve it.
• Implementing algorithms in computer programs using high-level languages (e.g., Matlab or Fortran).
• Applying techniques such as interpolation, numerical integration, and solution of linear systems of equations to thermodynamic problems.
• Simulating processes and thermodynamic cycles, optimizing parameters, and critically interpreting the results obtained.
• Using commercial tools, such as EES (Engineering Equation Solver), to validate their own codes and explore more complex problems
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Syllabus |
• Numerical interpolation and extrapolation (linear, polynomial, piecewise).
• Numerical integration (trapezoidal rule, Simpson’s rule, Gaussian quadrature).
• Numerical solution of systems of linear algebraic equations (Gaussian elimination, matrix methods, or built-in solvers).
• Calculation of thermodynamic properties (u, h, s) when cp(T)) or cv(T) are given as functions of temperature.
• Analysis of processes involving compression or expansion of gases with variable properties.
• Optimization of thermodynamic cycles and calculation of efficiency as a function of governing parameters.
• Use of EES (Engineering Equation Solver) to validate numerical codes and explore advanced thermodynamics problems (e.g., flame temperature, dissociation equilibrium).
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Main Bibliography |
• Fundamentos de Termodinâmica Aplicada, Paulo Pimentel de Oliveira, 2ª Edição de 2015, Lidel Editora, Lisboa.
• Yunus A. Çengel, Michael A. Boles, Thermodynamics: An Engineering Approach, 8th Edition, McGraw-Hill, 2015
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Teaching Methodologies and Assessment Criteria |
The evaluation of this course is based on two main components: quizzes/frequency tests and computational assignments (TPCs) or digital thermodynamic experiments.
Final grade: 0.25 × Quizzes + 0.75 × TPCs/Digital Experiments.
To access the exam: Quizzes = 7/20 and TPCs = 7/20.
To pass: Final grade = 9/20, with Quizzes = 9/20 and TPCs = 9/20.
all of TPCs must be submitted, and 80% attendance is required.
only the QUIZZES are possible to be improved during the exam and the Final grade at the exam will be:
Final grade= 0.25 × EXAM + 0.75 × TPCs/Digital Experiments.
TPCs are individual, evaluated through reports, simulation files, and if necessary, an additional examination of the reports will be requested.
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Language |
Portuguese. Tutorial support is available in English.
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