£110.40

Springer - Power Prediction Modeling of High-Speed Craft

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Description

Power Prediction Modeling of Conventional High-Speed Craft by Springer provides a technical deep dive into the essential design objectives for high-speed vessels. This book focuses on the various power prediction methods required for displacement, semi-displacement, and planing type craft. By utilizing mathematical models built from experimental data, readers can explore how different high-speed hull and propeller series influence performance. The text examines the application of regression analysis and Artificial Neural Network (ANN) methods as tools for model extraction. It addresses the most significant factors involved in in-service power prediction, including bare hull resistance, dynamic trim, and the open-water efficiency of propellers. This resource is designed for professionals and researchers seeking to understand the mathematical foundations and data-driven approaches used in modern naval architecture and high-speed craft design.

Key Features

Covers power prediction methods for displacement, semi-displacement, and planing type high-speed craft.

Utilizes mathematical models based on experimental data from various high-speed hull and propeller series.

Explains the use of regression analysis and Artificial Neural Network (ANN) methods for model extraction.

Analyzes key factors for in-service power prediction such as bare hull resistance and dynamic trim.

Provides insights into propeller open-water efficiency for more accurate vessel design.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 November 2019
Listed Since
01 August 2019

Barcode

No barcode data available

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