This paper deals with developing an efficient Robust Design Optimization (RDO) framework. The goal is to obtain an aerodynamic shape that is less sensitive to small random geometry perturbations and to uncertain operational conditions. The initial shape is the RAE2822 airfoil which is parameterized with 10 design variables. The robust design formulation used is based on an expectation measure. ...

The relationship between tolerances of statically measured geometric parameters and the aerodynamic performance of a sample of manufactured airfoils is investigated in this thesis. The objective is to determine which geometric parameters are the best discriminators of performance, and how these best discriminators are affected by changes in design methodology, manufacturing precision, and desir...

In Japan, several projects to increase train speed are underway, requiring a new generation pantograph that achieves further reduction in aerodynamic noise. However, as reduction of pantograph noise usually conflicts with the stabilization of its lift force characteristics, a number of experiments have to be conducted to develop a new type of pantograph. The aeroacoustic and lift force characte...

this work aimed to prepare a nanoemulsion preparation containing budesonide and assess its aerodynamic behavior in comparison with suspension of budesonide. in-vitro aerodynamic performance of the corresponding micellar solution (ie. nanoemulsion preparation without oil) was investigated too. nanoemulsions of almond oil containing budesonide, as a hydrophobic model drug molecule, were prepared ...

Evolutionary Algorithms (EAs) were applied to multidisciplinary transonic wing design optimizations. Aerodynamic performances of the design candidates were evaluated by using the three-dimensional compressive Navier-Stokes equations to guarantee an accurate model of the flow field. The wing structure is modeled on a box-beam to estimate the wing thickness and wing weight. To overcome enormous c...

Game theory and its particular Nash games are gaining importance in multi-objective optimization in engineering problems over the past decade. Among ongoing advances in optimization methods and tools, many applications including mathematical modeling with constraints in different areas remain challenges in industrial design environments. This paper describes a constraint handling algorithm to e...

We introduce and investigate several state-of-the-art shape deformation methods for their use in evolutionary design optimization problems. Starting from classical free-form deformation (FFD) we broaden our investigation to more flexible methods such as direct manipulation FFD and deformations based on radial basis functions. We integrate the different methods into a framework for evolutionary ...

This paper describes an application of Adaptive Range Multiobjective Genetic Algorithms (ARMOGAs) to aerodynamic wing optimization. The objectives are to minimize transonic and supersonic drag coefficients, as well as the bending and twisting moments of the wings for the supersonic airplane. A total of 72 design variables are categorized to describe the wing’s planform, thickness distribution, ...

In aerodynamic design, good performance is generally required under a range of operating conditions, including off-design conditions. This can be achieved throughmultipoint optimization. The desired performance objective and operating conditions must be specified, and the resulting optimization problemmust be solved in such amanner that the desired performance is achieved. Issues involved in fo...