A Neural Network-Based Method for Optimizing the Ply Angle of a Composite Propeller

A composite material and neural network technology, which is applied in the optimization of the layup angle to maximize the propulsion efficiency of the composite propeller of ships and ships, and the field of layup angle optimization of the composite propeller, which can solve the problem of not carefully considering the back pitch, trim and angle of the blade. Changes in pitch, dependence on finite element software, lack of versatility and other problems, to achieve the effect of saving computing resources and time, simple calculation, and small amount of calculation

Active Publication Date: 2022-04-19
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, the existing ply angle optimization method is too computationally intensive, relies too much on finite element software and is not universal, and does not carefully consider the changes in side tilt, pitch and pitch of the blade after fluid-solid interaction

Method used

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  • A Neural Network-Based Method for Optimizing the Ply Angle of a Composite Propeller
  • A Neural Network-Based Method for Optimizing the Ply Angle of a Composite Propeller
  • A Neural Network-Based Method for Optimizing the Ply Angle of a Composite Propeller

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Embodiment 1

[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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Abstract

The invention relates to a method for optimizing the ply angle of a composite material propeller based on a neural network, and belongs to the technical field of impeller machinery simulation. The present invention establishes the finite element model of the composite material propeller, performs two-way fluid-solid coupling calculation with the composite material propeller computational fluid dynamics model, and obtains the corresponding open water characteristic curve; Preprocess the hydrodynamic performance data, build a highly nonlinear fitting BP neural network based on numerical calculation software, and then use the gradient descent algorithm to train the constructed neural network, and finally obtain the The BP neural network of the mapping law between efficiencies; according to the trained BP neural network, optimize and predict the combination of ply angles, analyze the obtained efficiency data to obtain the maximum network prediction value and the corresponding ply angle combination, that is, based on Composite propeller ply angle optimization realized by neural network.

Description

technical field [0001] The invention relates to a method for optimizing the ply angle of a composite material propeller based on a neural network, in particular to a method for optimizing a ply angle that can maximize the propulsion efficiency of a composite material propeller of a ship, and belongs to the technical field of impeller machinery simulation. Background technique [0002] Traditional metal propellers have high manufacturing and processing costs, poor damping performance, are prone to noise, and the blades are prone to corrosion, which directly affects the service life of the propeller and the survival and attack capabilities of military ships. Composite materials have high specific strength, high specific modulus, corrosion resistance, fatigue resistance, good damping and vibration reduction, good damage safety and designable performance, etc., and have been widely used in the fields of aerospace and civil engineering. With the development of my country's naval ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23G06F30/17G06N3/12G06F119/14G06F111/10G06F113/26
CPCG06N3/08G06N3/044G06N3/045
Inventor 吴钦曲毅田茂宇张晶王国玉
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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