US2009083007A1PendingUtilityA1
System, method, and computer program product for determining wall thickness in graphic model
Est. expiryNov 19, 2023(expired)· nominal 20-yr term from priority
G06T 17/20G06F 30/23
48
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Claims
Abstract
A system, method, and computer program product for measuring wall thickness. After an internal body topology of the model is generated, the topology is traversed between wall elements to determine wall thickness.
Claims
exact text as granted — not AI-modified1 . A method for determining the thickness of a wall of a graphic model, comprising:
loading a graphic model; generating a surface mesh on the faces of the model; generating an internal body topology of the graphic model, corresponding to the surface mesh; identifying a first element in a first wall side of the graphic model traversing the internal body topology to identify a second element in a second wall side of the graphic model; measuring the distance between the first element and the second element; and storing a wall thickness, the wall thickness corresponding to the measured distance.
2 - 3 . (canceled)
4 . The method of claim 1 , wherein the traversal direction is along the normal vector of the mesh element using the 3D grid mapping topology for efficient searching.
5 . The method of claim 1 , wherein the traversal range is guided by the normal vector of the mesh element and is within a range of angles using the 3D grid mapping topology for efficient searching.
6 . The method of claim 1 , wherein the mesh points are projected onto the faces to achieve accurate results.
7 - 10 . (canceled)
11 . A data processing system having at least a processor and accessible memory, comprising:
means for loading a graphic model; means for generating a surface mesh on the faces of the model; means for generating an internal body topology of the graphic model, corresponding to the surface mesh; means for identifying a first element in a first wall side of the graphic model means for traversing the internal body topology to identify a second element in a second wall side of the graphic model; means for measuring the distance between the first element and the second element; and means for storing a wall thickness, the wall thickness corresponding to the measured distance.
12 - 13 . (canceled)
14 . The data processing system of claim 11 , wherein the traversal direction is along the normal vector of the mesh element using the 3D grid mapping topology for efficient searching.
15 . The data processing system of claim 11 , wherein the traversal range is guided by the normal vector of the mesh element and is within a range of angles using the 3D grid mapping topology for efficient searching.
16 . The data processing system of claim 11 , wherein the mesh points are projected onto the faces to achieve accurate results.
17 - 20 . (canceled)
21 . A computer program product tangibly embodied in a machine-readable medium, comprising:
instructions for loading a graphic model; instructions for generating a surface mesh on the faces of the model; instructions for generating an internal body topology of the graphic model, corresponding to the surface mesh; instructions for identifying a first element in a first wall side of the graphic model instructions for traversing the internal body topology to identify a second element in a second wall side of the graphic model; instructions for measuring the distance between the first element and the second element; and instructions for storing a wall thickness, the wall thickness corresponding to the measured distance.
22 - 23 . (canceled)
24 . The computer program product of claim 21 , wherein the traversal direction is along the normal vector of the mesh element using the 3D grid mapping topology for efficient searching.
25 . The computer program product of claim 21 , wherein the traversal range is guided by the normal vector of the mesh element and is within a range of angles using the 3D grid mapping topology for efficient searching.
26 . The computer program product of claim 21 , wherein the mesh points are projected onto the faces to achieve accurate results.
27 - 30 . (canceled)Join the waitlist — get patent alerts
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