1,720,985 research outputs found
Dataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" part 2- PoETS
No full textDataset supporting the University of Southampton Doctoral Thesis "Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles" and also a publication by Laminn McLay, Andras Sobester, James Scanlan
TITLE: PoETS: A Proposed Powertrain Topology Encoding Scheme
JOURNAL: AIAA SCITECH 2023 Forum, https://arc.aiaa.org/doi/10.2514/6.2023-1363
This dataset contains:
OSGF40-engine_data.csv
battery_data_combined.csv
motors.csv
engine_name_with_willans_power_calculation.csv
fuelcell.csv
propeller_name.csv
pv.csv
Related projects:
Steps towards mixed energy optimisation of Uncrewed Aerial Vehicles - https://doi.org/10.1017/aer.2023.61
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Exploiting patterns in the Kulfan transformations of supercritical airfoils
No full textFor a parametric airfoil to be genuinely useful in preliminary design optimization it has to satisfy a number of requirements. Perhaps most importantly the number of design variables has to be small and the design space defined by them has to exclude geometrically unrealistic shapes. Ideally, the design variables should also have intuitive significance, that is, they should be directly linked to geometrical or aerodynamic features. Furthermore, it is advantageous to have a multi-level parameterisation built into the same mathematical form, to allow design searches with increasing level of detail. Here we propose two general methods for generating airfoils that satisfy these criteria by exploiting certain patterns in the Kulfan (or class-shape function) transformations of families of existing airfoils. We illustrate the two methods by constructing concise parametric airfoils based on the NASA SC(2) family of supercritical section
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Self-designing parametric geometries
No full textThe thesis of this paper is that script-based geometry modelling offers the possibility of building `self-designing' intelligence into parametric airframe geometries. We show how sophisticated heuristics (such as optimizers and complex decision structures) can be readily integrated into the parametric geometry model itself using a script-driven modelling architecture. The result is an opportunity for optimization with the scope of conceptual design and the fidelity of preliminary design. Additionally, the proposed `self-design' philosophy of using an integrated design heuristic to construct much of the geometry is a good mechanism for de-constraining the design space, as we can take the design variables as a starting point from which we generate a feasible design, wherever possible. We illustrate these ideas through the parametric geometry model of a twin-engined light aircraft
Four suggestions for better parametric geometries
No full textThe key challenge in building a parametric geometry for any stage stage of the aircraft design process is finding the right balance between the often competing objectives of conciseness, robustness and flexibility. This paper proposes four ways, in which the tensions between these objectives may be addressed. First, we describe a framework for parameterizing geometries at the concept selection level, using a hierarchical encoding. Second, we advocate the clear separation of shape and scale as part of the aerodynamic design process, leading to a non-dimensional shape design phase and a scaling based on performance constraint analysis. Third, we suggest improving flexibility without major robustness compromises by using functionals, instead of parametric functions, to describe the shapes of various components of a geometry. Finally, we discuss geometry-attached curvilinear coordinates as a means of simplifying the parameterization of complicated geometrie
Co-operation in an Autonomous, Decentralised, Unmanned Air System for Atmospheric Research
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