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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.
Informazioni sull'autore: Professor Dejan Radojcic is a Naval Architect with 40 years of academic and industrial experience, covering research focused on ship design and hydrodynamics. Academic experience (1979-2014) rising from teaching assistant to full professor and Head of the Naval Architecture department at the Faculty of Mechanical Engineering, University of Belgrade. Participated in a series of international (EU) and domestic projects on ship design, ship hydrodynamics, shallow draught vessels, optimization of propulsion systems etc., frequently focused on special high-speed craft of displacement, semi-displacement or planing type. Collaborated with leading European universities and research institutions. Published a number of often cited scientific papers, including some on the hydrodynamics of high speed craft currently implemented in commercial CAD software. As a member of a research team, received in 2015 SNAME’s The Vice Admiral E.L.Cochrane Award for best peer-reviewed paper published by SNAME. Co-authored a book (in Serbian) on High Speed Vessels in Shallow Water. Former president of SNAS (Society of Naval Architects of Serbia), member of RINA and SNAME.
Milan Kalajdžic, PhD, is Assistant Professor at the Department of Naval Architecture, Faculty of Mechanical Engineering, University of Belgrade. He is a Naval Architect with 13 years of experience in research, design and teaching, primarily in hydrodynamics, mathematical modeling, nonlinear ship motion of conventional and unconventional vessels, and its 3 applications on sailing yachts and planing craft. He was also engaged on application of ANN methods for analysis of experimental data. M Kalajdžic was involved in various industry projects, primaly dealing with small craft, unconventional vessels and yachts. In recognition of his work, as a member of the research team, he received RINA-Lloyd’s Register Educational Trust Ship Safety Award for 2007 and RINA WAKEHAM Prize for 2010. He is a member of SNAS (Society of Naval Architects of Serbia) and RINA.
Aleksandar Simic, PhD, is an Assistant Professor at the Department of Naval Architecture, Faculty of Mechanical Engineering, University of Belgrade. He is a Naval Architect with 20 years of experience in research, design and teaching, primarily in hydrodynamics of conventional and unconventional vessels. He was involved in development of several mathematical models based on the experimental data derived on models representing unconventional high-speed hull series. In recognition of his work, as a member of the research team, he received in 2015 SNAME’s The Vice Admiral E.L.Cochrane Award for best peer-reviewed paper published by SNAME. He is a member of SNAS (Society of Naval Architects of Serbia), RINA and SNAME.
Titolo: Power Prediction Modeling of Conventional ...
Casa editrice: Springer
Data di pubblicazione: 2020
Legatura: Brossura
Condizione: Brand New