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.
Evaluation of the impacts of the Objective Function definition in Aircraft Conceptual Design
In this paper, the authors present a successive derivation of basic equations in order to enlighten the implicit relationships between some of the most common objective functions employed in aircraft conceptual design. A design framework was employed to optimize a case study of a mid-range business jet. For this reference case, four objective functions were explored in three different optimization problem formulations.
Concentrated Solar Power plant piping optimization for gaseous Heat Transfer Fluid
ModeFrontier software was exploited in the optimization of the peripheral portion of a CSP plant based on Airlight parabolic trough collectors, which were modeled in Simscape using a custom domain for gases with temperature dependent properties. A second step involved annual simulation of the plant which included the solar power radiation variation and the thermal energy storage models. MOGA and MOPSO algorithms were employed to maximize the total revenues of the plant.
Optimization of a single stage double suction centrifugal pump
In this study, the optimization of a double-suction centrifugal pump is developed and run with the objective being the maximization of its hydraulic efficiency. The optimization of the pump is performed by means of the modeFRONTIER optimization platform using MOGA II and ANSYS CFX software was used for CFD simulations.
Fluid dynamics Optimization of racing engine inlet ducts at Aprilia Racing
A two-step optimization procedure of intake valves and intake ports of the Aprilia RS-GP motorbike is presented in this work. Parametric geometry design, automatic mesh generation and three-dimensional CFD analysis are coupled with different optimization techniques – using the platform modeFRONTIER. The objective is the improvement of fluid dynamic efficiency of valve and port while simultaneously guaranteeing their feasibility.
Characterization of Aerodynamic Design Spaces for Adjustable Tractor Surfaces
A method for the characterization of the aerodynamics benefit of a generic aerodynamic drag reduction device was presented in this work. CFD simulations were carried out using a Lattice-Boltzmann based method and coupled with modeFRONTIER for the creation of multiple Kriging Response Surfaces. The methodology was further refined by obtaining positioning maps for multiple tractor configurations.
Innovative methodologies for Robust Design Optimization with large number of uncertainties using modeFRONTIER
This paper describes the methodologies that have been developed by ESTECO during the first phase of the UMRIDA European Project, conducted in the fields of Uncertainty Management and Robust Design Optimization, implemented in the software platform modeFRONTIER. Aeronautical test cases proposed by UMRIDA consortium are used to verify the validity of the methodologies.
Multi-objective optimization of a bottoming Organic Rankine Cycle (ORC) of gasoline engine using swash-plate expander
In this paper, a thermo-economic model of the ORC system coupled to a gasoline engine is presented. This model is based on energy balances and economic criteria of the different components of the ORC system. The main objective of this work is to evaluate this thermo-economic model as a tool to optimize a multiobjective problem using a Genetic Algorithm.
Multi-objective Optimization of a Data Center Modeling Using Response Surface
In the present paper, a multi-objective optimization process that utilizes a Genetic Algorithm is used in a response surface methodology based on radial basis function, with the aim of significantly reducing the engine running time of a model data center. A range of the design parameters is optimized to search for the best combinations that satisfy both of the two objectives.
Multi-objective Optimization of a V6 3.0L diesel engine under different operative conditions
This study couples optimizer modeFRONTIER and GT-SUITE in the configuration of an engine model. The aim is to improve performance over a wide range of operating conditions including full load, part load and transient maneuvers. The choice of the final optimum has been made thanks to the MCDM tool.