The aim of this paper is to present a new model library developped as a new test case to benchmark optimization algorithms and Multidisciplinary Design Optimization (MDO) formulations. It introduces the MARILib software (Multidisciplinary Airplane Research Integrated Library). MARILib's first objective is to provide models for research on a wide range of aircraft concepts, from business jets to super jumbos, and also some unconventional configurations, through an Overall Aircraft Design (OAD) approach. The second objective is to share a new benchmark test case for MDO strategies, which does not raise intellectual property issues. The third objective is to describe a case study for educational and training purposes. MARILib will be available as Open Source.
Touch technologies tend to replace the existing pilot-system interfaces in airliner cockpits. The use of touch screens offers many advantages for pilots and manufacturers. However it also presents major potential risks for air safety. In this paper, we explore the design space of future touch-based flight control panels for aircraft pilots. We attempt to design gestures that are more physical and robust in unstable conditions and require less visual focus, based on directional gestures and layouts that leverage spatial and proprioceptive skills. We observed the use of the control panel during a real flight in turbulent conditions. This let us explore the limits of touch-based interaction techniques in degraded contexts of use and to explore how tangible properties found in tangible and embodied interaction could help design these gestures. This also let us better understand the blurred frontier between touchbased and tangible interaction, and to reflect on interaction design principles in degraded contexts through the iterative building of an explicit design space.
The aim of this paper is to model and propagate operational uncertainties in view of its integration in a multidisciplinary optimization methodology for aircraft robust design. From databases relative to one specific type of long-range airplane, we analyze the variations of four flight parameters (altitude, speed, temperature and range), and build the associated statistical distributions. Then, using an uncertainty propagation methodology, we identify the distribution of operational costs.
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