ADVANCED METHODS FOR OPTIMIZATION OF MACHINE THERMOFLUIDODYNAMICS

Second cycle degree in MECHANICAL ENGINEERING

Campus: PADOVA

Language: English

Teaching period: First Semester

Lecturer: ERNESTO BENINI

Number of ECTS credits allocated: 9


Syllabus
Prerequisites: For a better understanding of the topics covered it is recommended that the student has attended basic courses on fluid machines.
Examination methods: Conventional viva
Course unit contents: Mathematical calculus, maxima and minima in bounded vector functions of several variables. Single- and multi-objective optimality. Classical and advanced optimization methods: deterministic, stochastic and pseudo-stochastic algorithms. Gradient algorithms, genetic-evolutionary algorithms, simulated annealing, fuzzy logic. Hybrid methods. Constraints in optimization problems. Functional optimization of fluid machines and their components. Calculation models for rotodynamic machines. Numerical models and experimental models. Interface between optimization algorithms and performance codes in turbomachines. Applications: optimization of compressible and incompressible flow turbo machinery; optimization of 2D cascades, optimization of rotor - stator interaction; 3D optimization of both rotating and stationary blades; optimization of internal combustion engines.