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Titlebook: Power Prediction Modeling of Conventional High-Speed Craft; Dejan Radoj?i?,Milan Kalajd?i?,Aleksandar Simi? Book 2019 Springer Nature Swit

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書目名稱Power Prediction Modeling of Conventional High-Speed Craft
編輯Dejan Radoj?i?,Milan Kalajd?i?,Aleksandar Simi?
視頻videohttp://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
圖書封面Titlebook: Power Prediction Modeling of Conventional High-Speed Craft;  Dejan Radoj?i?,Milan Kalajd?i?,Aleksandar Simi? Book 2019 Springer Nature Swit
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
關(guān)鍵詞Planing craft; Semi-displacement craft; Power prediction; High speed craft; Resistance; Propulsion; Propel
版次1
doihttps://doi.org/10.1007/978-3-030-30607-6
isbn_softcover978-3-030-30609-0
isbn_ebook978-3-030-30607-6
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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