AES4AC APPS LIMOV0

	AES=V=
	Licenses of AES=V= can be bought from AES4AC (hinfo@aes4ac.com).
	Flat layout & secundary drawings Flat layout 3 D Contour &Vector (xyz-c-uvw) projection plots	Quasi 3D & secundary drawings 2 D line and symbol (xy) plots 2D vector drawing mode demos Drawings of sectional pressure & geometric distributions at selected spanstation comparing 11 datasets calculated for a transporttype wing at several Mach and AOA combinations

	PURPOSE Visualization & Analysis & Comparison of calculated and experimental data. INPUT Simple & Uniform data input format of multiple data sets Datasets are composed of multiple datasheets. Datasheet have a columnwise tabular format The structure of a sheet can be line, patch,block, random, line segment, triangular, quadrilateral .. OUTPUT Screen Postscript files ppm files OPERATION GUI based on GLUI, GLUT and OpenGL Can also be executed in batch. SPECIALS (Pre and Postprocessing) Warping of datasets by efficient volume spline class methods (FSI data or Digital Pressure Painting). Mollifying of datasets to seed scarse trusted data in an other baseline dataset. The results is cardinal with respect to the trusted data and adheres to the trends of the baseline dataset. Cutting planes (geometric slicer) H continuation of harmonic data Surface Gridding Multiple patches Patch creation/redistribution & assembling Volume Gridding Multiple blocks Hexaeder, tetraeder & prismatic meshes Hyperbolic, elliptic & algebraic generation Elliptic smoothing Analysis Chimera tagging Flutter and Time Trace Analysis PK,PH,K & HK,HH Flutter Analysis Spectral Analysis of Time Traces MIMO identification	GRAPHICS 2d vector drawing mode Multiple figures with multiple datasets 2 D line and symbol (xy) plots 2 D Vector (xy-uv) plots 2 D contour (xy-c) plots 2 D shading (xy-#) plots 3 D line and symbol (xyz) projection plots 3 D Vector (xyz-uvw) projection plots 3 D contour (xyz-c) projection plots 3 D shading (xy-#) projection plot Quasi 3D figures with multiple dataheets Flat layout figures with multiple datasheets. OpenGL visualization mode Multiple datasets (multiple sheets) 3D geometry (xyz) (patches, grids) 3D Vectors/Displacements (uvw) 3D Scalars (c) Contour Lines and Shading & Scatter Symmetric/anti-symmetric extentions, with respect to ground & wall Blanking Et cetera
	OpenGL visualization mode demo OpenGL visualization mode demo Surface pressure, velocity & geometric distributions comparing 11 datasets calculated for a transporttype wing at several Mach and AOA combinations OpenGL visualization mode demo Volume pressure, velocity & geometric distributions comparing 11 datasets calculated for a transporttype wing at several Mach and AOA combinations	Planar Cutting demo The volume data (left) is intersected with 6 cuts (right) which are connected with triangulars The first cut connected with triangulars The first cut as scattered data


	Mollifying There are many occasions in which characteristic data describing A/C systems are scarce/coarse (reduced in order) due to economic reasons (wind tunnel testing, flight testing and Hi-Fi CFD simulations). Examples are tabular data for engines, lift & drag aerodynamic forces, high-fidelity generalised forces needed in flutter certification, Hi-Fi CFD data in optimization processes. Often a correction method or surrogate model is developed to continue/interpolate the data. The mollifyer can be regarded as injecting the valuable (accurate) scarse data in an already existing dataset in a black box manner. The approach is suitable for impact assessment of design changes, starting data for optimization and reverse engineering. Mollifyer demo The upper left data is injected in the baseline data (lower left) resulting in the upper right data. Note that the injected data is invariant for the mollifying.	Mollifyer demo The result is cardinal with respect to the trusted data and adheres to the trends of the baseline dataset. The injected scattered data is visualized after triangularization Contours of the baseline and the mollifyed data
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	Warping Demo The scattered FEM data (left) is warped to the aerodynamic surface (right). The scattered data is also presented at the right.	Warping Demo The scattered FEM data (left) is triangularized. The scattered triangularized data is also presented at the right.

	GRID GENERATION
	A single block grid generated about 5 components. A single block grid generated about 9 components.	A A single block grid generated about 6 components A single block grid generated about transportype AC