Composite material propeller layering angle optimization method based on neural network
A composite material and neural network technology, applied to the optimization of the ply angle for maximizing the propulsion efficiency of the ship's composite propeller, and in the field of composite propeller ply angle optimization, it can solve the problem of large amount of calculation and no careful consideration of the blade rear skew , pitch and pitch changes, lack of versatility, etc.
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[0044] The present embodiment discloses in conjunction with accompanying drawing, take SEIUN-MARU large skew ship propeller (HSP) as embodiment, the specific embodiment of the present invention is as follows Figure 1-3 shown. The fiber composite material marine propeller ply angle optimization method disclosed in this implementation is realized by the following steps:
[0045] Step 1: Use the ACP module in the WorkBench platform to define the angles of each layer of the composite laminate with the middle surface of the metal propeller blade as the symmetry center to complete the fiber composite layer (unidirectional or braided layer), and import the metal The pressure surface and suction surface models of the propeller blades are used to constrain the shape of the composite material layup, and finally the establishment of the finite element model of the composite material propeller is realized.
[0046] Step 2: Import the finite element model of the composite propeller estab...
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