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41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
# Radial Quadrangle 1D2D example
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import salome
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salome.salome_init()
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import GEOM
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from salome.geom import geomBuilder
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geompy = geomBuilder.New(salome.myStudy)
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import SMESH, SALOMEDS
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from salome.smesh import smeshBuilder
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smesh = smeshBuilder.New(salome.myStudy)
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# Create face from the wire and add to study
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Face = geompy.MakeSketcher("Sketcher:F 0 0:TT 20 0:R 90:C 20 90:WF", [0, 0, 0, 1, 0, 0, 0, 0, 1])
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geompy.addToStudy(Face,"Face")
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edges = geompy.SubShapeAllSorted(Face, geompy.ShapeType["EDGE"])
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circle, radius1, radius2 = edges
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geompy.addToStudyInFather(Face, radius1,"radius1")
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geompy.addToStudyInFather(Face, radius2,"radius2")
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geompy.addToStudyInFather(Face, circle,"circle")
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# Define geometry for mesh, and Radial Quadrange algorithm
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mesh = smesh.Mesh(Face)
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radial_Quad_algo = mesh.Quadrangle(algo=smeshBuilder.RADIAL_QUAD)
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# The Radial Quadrange algorithm can work without any hypothesis
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# In this case it uses "Default Nb of Segments" preferences parameter to discretize edges
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mesh.Compute()
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# The Radial Quadrange uses global or local 1d hypotheses if it does
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# not have its own hypotheses.
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# Define global hypotheses to discretize radial edges and a local one for circular edge
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global_Nb_Segments = mesh.Segment().NumberOfSegments(5)
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local_Nb_Segments = mesh.Segment(circle).NumberOfSegments(10)
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mesh.Compute()
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# Define own parameters of Radial Quadrange algorithm
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radial_Quad_algo.NumberOfLayers( 4 )
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mesh.Compute()
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