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Springer Power Prediction Modeling High-Speed Craft - Springer

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Description

This comprehensive guide from Springer explores power prediction methods for high-speed craft across displacement, semi-displacement, and planing types. The book presents mathematical models grounded in experimental data from various hull and propeller series, employing regression analysis and Artificial Neural Network (ANN) methods to develop reliable prediction tools. Key focus areas include bare hull resistance, dynamic trim, and propeller open-water efficiency-the most significant factors affecting in-service power performance. Spanning 278 pages in hardcover format, this resource combines theoretical foundations with practical applications for naval architects and marine engineers designing and optimizing high-speed vessels.

Key Features

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

Mathematical models derived from experimental data of multiple hull and propeller series.

Regression analysis and Artificial Neural Network (ANN) extraction methods for prediction accuracy.

Addresses bare hull resistance, dynamic trim, and propeller open-water efficiency factors.

278-page hardcover reference for naval architects and marine engineering professionals.

Practical guidance combining experimental research with computational prediction tools.

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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