2 results about "Relative thickness" patented technology

This invention discloses a high lift-to-drag ratio, long-endurance, low-speed airfoil, revealing its maximum relative camber, maximum relative thickness, and the curve equations satisfied by its upper and lower edges. The origin of the coordinate system containing the airfoil is defined as the leading edge of the chord. The X-axis coincides with the chord line, pointing from the leading edge to the trailing edge of the airfoil. The Y-axis is perpendicular to the X-axis, pointing in the direction of the airfoil's curvature. The chord length is defined as C; therefore, the maximum relative camber is 6%C, and the maximum relative thickness is 4.5%C. The airfoil of this invention exhibits a higher lift-to-drag ratio and a higher lift coefficient while maintaining a lower drag coefficient. It reduces the weight of the wing structure, and its thin, curved shape results in a smaller internal wing cavity, optimizing aircraft weight while concentrating stress on the structure.

Method (1) for the generation of a sequence of layers for a glass surface, said sequence of layers comprising, according to a layering position, layers selected from glasses, coatings, plastic interlayers, gaps with air and / or argon, opaque elements and shields or a combination thereof each having its own thickness, comprises the steps of a) providing a machine learning generative artificial intelligence algorithm based on a conversational model, said artificial intelligence algorithm being trained to generate a sequence of layers for a glass surface necessary to make a glass surface by selecting one or more layers, a relative thickness for each selected layer and a layering position; b) providing by input on a user device (10) one or more initial statements relating to a glass surface design, said initial statements comprising performance parameters required for the glass surface selected from optical, energetic, static, acoustic, usage parameters or a combination thereof; c) processing the statements provided by means of said artificial intelligence algorithm so as to generate said sequence of layers, said sequence of layers being representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm, said artificial intelligence algorithm being resident in a processing unit (20) in signal communication with the user device (10), d) generating by means of said artificial intelligence algorithm a final sequence of layers representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm.