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  • Collaborative Multidisciplinary Design Optimization for Conceptual Design of Complex Products

    This thesis explores the prospect of applying MDO in the conceptual design (CD) phase. MDO will serve as an enabler to apply higher fidelity models (HFMs) earlier and thus raise the level of concept information. The thesis provides guidelines to overcome technical and organizational barriers to implementing MDO and HFMs in practical engineering settings. A guideline for CMDO implementation is proposed for design engineers with limited prior knowledge in MDO.

  • Axial turbine preliminary design optimization

    In turbomachinery design, many geometric parameters and design variables are considered in the process. In this optimization of an axial turbine, softwares Axial NRec and modeFRONTIER were coupled in order to handle the inlet blade angles at mid and tip span by the NSGA II genetic algorithm. The results showed feasible arrangements in the nozzle and rotor blades and efficiency was notably improved.

  • Aerodynamic Optimization of High Speed Propellers

    In this thesis work, the focus is on the optimization of a new blade type Boxprop, a newly developed part used in aero-engines. The proposed design approach presents an optimization framework, a geometric parametrization, geometry creation, and mesh generation, in order to optimize the Boxprop concept by means of genetic algorithms.

  • Design of Radial Turbines Operating in the Organic Rankine Cycle Using Optimization and CFD

    This thesis proposes a methodology for the development of an appropriate tool for the design of radial turbines that are used in subcritical Organic Rankine Cycles (ORC). The integration of CFD techniques, construction of response surfaces using Radial Basis Function (RBF) and genetic algorithms form the proposed design process.

  • Optimization of a Turbo Charger Compressor at BorgWarner using AxCent and modeFRONTIER

    This work presents a numerically optimized design approach to turbo charger radial compressor development for commercial diesel applications. The design optimization includes both aerodynamic and structural components, combined via a “loosely coupled” iterative procedure. The primary goal of the design is to maximize total to static efficiency at various operating conditions, while also preserving or expanding the overall operating range of the compressor, and doing so with a structurally sound geometry.

  • A New Automated Underhood Thermal Management CFD DoE Workflow with ModeFRONTIER

    Ford engineers are challenged to find a cost efficient cooling system concept for the underhood thermal management that suits different powertrains and environments, respecting standards (NACA duct) and without compromising the vehicle’s aerodynamic performance. From a thermodynamics perspective, the problem to address regards the high temperatures deriving from the friction inside the PTU (Power Take-off Unit) and surrounding parts which can cause the oil to overheat.

  • Numerical Multi-objective Optimization of an Innovative Totally Enclosed Fan Cooled Induction Motor

    The objective was to maximize the power of a TEFC (Totally Enclosed Fan Cooled) induction machine considering the API & SHELL performance and technical constraints and minimize the specific power cost in the oil and gas market segment. 

  • Coupled Evolutionary Shape Optimization and Reverse Engineering in Product Design and Virtual Prototyping

    Developing products from existing designs and optimizing for better performance and cost reduction could shorten time to market while enhancing quality standards. Researchers developed a systematic procedure by starting with a 3D scan of the existing design, defining shape the parameters, and then developing an evolutionary optimization model.

  • Optimization of Wind Farm Layout Using Genetic Algorithm

    This paper describes the development of a layout optimization algorithm of wind farms. Given the wind’s condition, and the combination of the characteristics and number of wind turbines, it determines the optimal position of each turbine, so that the wind farm’s efficiency is maximized.


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