| 书目名称 | Power Prediction Modeling of Conventional High-Speed Craft | | 编辑 | Dejan Radojčić,Milan Kalajdžić,Aleksandar Simić | | 视频video | http://file.papertrans.cn/753/752577/752577.mp4 | | 概述 | Focuses specifically on mathematical modelling of the most significant factors for in-service power prediction: bare hull resistance, dynamic trim, and propeller‘s open-water efficiency.Fills the gap | | 图书封面 |  | | 描述 | The proposed book addresses various power prediction methods, a principal design objective for high-speed craft of displacement, semi-displacement, and planing type. At the core of the power prediction methods are mathematical models based on experimental data derived from various high-speed hull and propeller series. Regression analysis and Artificial Neural Network (ANN) methods are used as extraction tools for this kind of models.The most significant factors for in-service power prediction are bare hull resistance, dynamic trim, and the propeller’s open-water efficiency. Therefore, mathematical modeling of these factors is a specific focus of the book. Furthermore, the book includes a summary of most of the power-prediction-relevant literature published in the last 50 years, and as such is intended as a reference overview of the best high-speed craft modeling practices..Once these mathematical models have been developed and validated, they can be readily programmed into software tools, thereby enabling the parametric analyses required for the optimization of a high-speed craft design. The proposed book is intended primarily for naval architects who design and develop various ty | | 出版日期 | Book 2019 | | 关键词 | Planing craft; Semi-displacement craft; Power prediction; High speed craft; Resistance; Propulsion; Propel | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-30607-6 | | isbn_softcover | 978-3-030-30609-0 | | isbn_ebook | 978-3-030-30607-6 | | copyright | Springer Nature Switzerland AG 2019 |
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