四螺杆动力实验:数据简化、外推和相关性

P. Chang, W. Beaver
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引用次数: 0

摘要

本文介绍了用于模型驱动实验数据收集、数据简化和全尺寸外推的方法和算法。虽然该算法仅适用于四螺旋船,但可以推广到具有不等螺旋桨组的任意情况。提出了基于轴转速、转矩或输出功率限制的最大船速预测算法。模型动力实验预测结果与全尺寸试验数据的相关性表明,模型实验结果与预测结果一致。对这一现象给出了可能的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four Screw Powering Experiments: Data Reduction, Extrapolation and Correlations
Methodologies and algorithms used for model powering experiment data collection, data reduction, and extrapolation to full scale arc presented in this paper. While the algorithms are tailored to four screw ships they can be generalized to the arbitrary case of a model which has unequally loaded sets of propellers. Algorithms for the prediction of maximum ship speed, based on shaft revolution rate, torque or delivered power limits are presented. Correlation of model powering experiment predictions and full scale trials data show that model experiments consistently under predict the inboard/outboard torque ratio. Possible explanations for this phenomenon are given.
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