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Unmanned Underwater Combat Platforms, The Main Shape Of Low-impedance Low-noise Integrated Optimization Design

Posted on:2004-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:Q WangFull Text:PDF
GTID:2192360095951042Subject:Weapons systems, and application engineering
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The focus of this dissertation is on the mechanism of the resistance and noise of the axisymmetric bodies. This dissertation offers four major contributions .The first contribution is the resistance estimation model and the calcualtion method of resistance fator,which is based on the research of the flow around the axisymmetric bodies.And the second contribution is the configuaration shape modeling of axisymmetric bodies,in which I tried several kinds of curve functions.The third contribution is noise control model,which is based on the research of relations between noise and resistance. The last contribution is the research of multi-object optimization theory and methodjn which I creatively put forward the conception of Flat Degree.This leads to an more advanced optimization model and the avoidance of odd solutions. And based on all this work,I offered an advanced and sophisticated low-resistance,low-noise shape optimization model of unmanned underwater warfare platform. I also developed a serials of optimization software and visualizing calculation software.With the assitance of these software,we carried on the shape optimization of the unmanned underwater warfare platform,and calculated the shapes of several overseas axisymmetric bodies.The main subjects of this dissertation include:1. Configuaration shape modeling of axisymmetric bodies,based on several kinds of curve functions.2. Scientific calculation method of the flow around the axisymmetric bodies.3. Multi-object optimization model with the conception of Flat Degree.4. Visual scientific calculation and optimization software development.
Keywords/Search Tags:Unmanned Underwater Warfare Platform, Unmanned Underwater Vehicle(UUV), Axisymmetric Body, Low-Resistance, Low-Noise, Shapes, Optimization, Multi-Object Optimization
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