This goal of this project is the optimization of a CLT propeller for increased efficiency. The design approach is based on a parametric description of the propeller blade and an in-house developed Panel Method/Boundary Element Method aimed to evaluate the performance of the propellers selected by a genetic optimization algorithm in the software modeFRONTIER.
This thesis aims to demonstrate the possibility of designing a meta-material to match a nonlinear deformation response. Application of this method was successful in generating a meta-material to meet the response of the rubber pad in an M1 Abrams tank. The optimization method using modeFRONTIER can serve as a framework for future designers to develop meta-materials for nonlinear targeted responses
This paper presents heat transfer enhancement of multilouvered fin compact heat exchangers with delta winglets vortex generators by using surrogate-based optimization. The optimization procedure is a combination of Artificial Neural Networks with Non-Dominated Sorting Genetic Algorithm (NSGA-II) in modeFRONTIER. Two Reynolds numbers and two different geometries were investigated..
A comprehensive approach for multi-objective design optimization of extrusion dies is illustrated in this work. A three-bridges porthole die, used to produce thick round tube profiles, was selected as test case. This approach using modeFRONTIER for optimization can provide an effective process for practical productions to be used at the die and process design stage, in order to maximize process performances both for die makers and extruders.
The objective of this thesis was to propose biaxial tensile tests on a cruciform specimen to identify strain-rate dependent hardening models of sheet metals from quasi-static to intermediate strain rates. The in-plane biaxial testing procedures and parameter identification strategy have been validated on AA5086 and applied to identify rate-dependent hardening laws for DP600 steel. The optimization procedure was carried out in modeFRONTIER.
This thesis presents the results of an optimization study of the geometry and layout of the sail-plan (genoa and mainsail) of a 12 meter prototype boat called Mefistofele. The goal is to maximize the ratio between boat speed and sail-plan surface, considering different upwind sailing conditions.
A two-stage inverse analysis technique is proposed to identify the friction coefficients during hot compression test of aluminum alloy AA6N01 and its material parameters in the strain-compensated Arrhenius-type constitutive model. By means of modeFRONTIER, FEM simulation and error calculation are integrated in this study.
This study proposes a multi-level decoupled method for the design optimization of wind turbine blades. The method reduces the design space by employing a two-level optimization process: the high-level is for the entire blade, while the low-level is for sections of the blade. It is shown that the multi-level method using modeFRONTIER converges faster at the beginning of the optimization, generates more smooth design alternatives, and finds better optimum designs than its single-level counterpart.
The employment of small combined cycles as a valid alternative to ORC systems for Combined Heat and Power from biomass is feasible in the near future and can guarantee competitive thermodynamic performances. Two design optimizations were performed according to two different configurations, employing the Immersed Particle heat exchanger and Nickel Alloy heat exchanger. Thermal efficiency and electrical efficiency were selected as the objectives to be maximized by the optimization algorithm in modeFRONTIER.
This Master’s thesis developed a thermal analysis model of a diesel piston that is used in Volvo Cars engines, which enhances the possibilities to determine the complete thermal loads of the car engine and can be used as a boundary condition when performing combustion CFD-simulation.