The surface panel method and an improved numerical Kutta condition have been applied to predict the hydrodynamic performance of a propeller in steady flow.
本文采用面元法和改进的数值库塔条件预报螺旋桨定常性能。
So there is much important significance to deeply understanding the characteristic of electric propulsion device by studying the performance of a propeller load.
因此研究螺旋桨负载特性对于深入认识电力推进装置的特点有很重要的意义。
In this paper, we propose a method of a propeller load modelling by studying the performance of a propeller load. A procedure flow chart of modeling is presented.
通过对螺旋桨负载特性的研究，提出了一种螺旋桨负载模型建模的方法，给出模型的计算机求解流程图。
Submarine Guide Vane Propeller is a new device developed by CSSRC to improve powering performance and reduce propeller-radiated noise of submarine.
潜艇前置导叶螺旋桨是CSSRC为提高潜艇快速性和降低螺旋桨噪声而开发的一种新装置。
A numerical method is presented for prediction of propeller performance and pressure distribution on blade surface according to lifting surface theory.
本文提供了一种根据升力面理论计算螺旋桨桨叶表面压力分布和螺旋桨性能的数值方法。
So, an in-depth study in how to make a accurate prediction of the hydrodynamic performance of the propeller is very important.
因此，深入地研究如何准确地预报螺旋桨的水动力性能是非常重要的。
A new equipment for simulated the performance of propeller load is introduced in this paper, it's an all digital DC torque servo system using torque closed loop and current closed loop control.
介绍一种新型的螺旋桨特性负载模拟装置，它是全数字控制的直流转矩伺服系统，采用转矩电流双闭环控制方式。
A new method for predicting the hydrodynamic performance of the rudder with plates behind a propeller is presented.
提出了一种计算带制流板舵在螺旋桨尾流中水动力性能的方法。
The paper presents a new method for predicting the hydrodynamic performance of the shilling rudder behind a propeller.
本文提出了一种计算带制流板的鱼尾舵在螺旋桨尾流中水动力性能的方法。
In order to analyze the influence of fins, a low-order panel method based on velocity potential was used to predict the steady hydrodynamic performance of a podded propeller with fins.
为了分析鳍对吊舱推进器水动力性能的影响，用基于速度势的低阶面元法预报附鳍吊舱推进器的定常水动力性能。
In this paper, a method based on quasi-steady lifting line theory for the prediction of performance characteristics of a propeller working in a non-uniform wake field is presented.
本文应用准定常升力线理论预报船用螺旋桨的性能，建立了适合中型计算机的程序。
Through trained, BP neural network can obtain strong nonlinear mapping ability to learn the data characteristics of the hydrodynamic performance of ship propeller as a mathematic analytic form.
BP人工神经网络模型通过训练可以具备强大的非线性映射能力，以数学解析的形式，较好地提取了海量螺旋桨水动力性能数据特征；
Through trained, BP neural network can obtain strong nonlinear mapping ability to learn the data characteristics of the hydrodynamic performance of ship propeller as a mathematic analytic form.
BP人工神经网络模型通过训练可以具备强大的非线性映射能力，以数学解析的形式，较好地提取了海量螺旋桨水动力性能数据特征；
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