Procedure for Application-Oriented Optimisation of Marine Propellers
| Autor: | Rikard Johansson, Robert Gustafsson, Florian Vesting, Rickard Bensow, Nicole Almeida Costa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
cavitation constraints
Computer science 020209 energy marine propeller Evolutionary algorithm multi-objective optimisation 020101 civil engineering Ocean Engineering 02 engineering and technology 0201 civil engineering Set (abstract data type) evolutionary algorithm PSO lcsh:Oceanography lcsh:VM1-989 Industrial design 0202 electrical engineering electronic engineering information engineering lcsh:GC1-1581 Water Science and Technology Civil and Structural Engineering Propeller Blade geometry lcsh:Naval architecture. Shipbuilding. Marine engineering Control engineering Toolbox Design process Lead time |
| Zdroj: | Journal of Marine Science and Engineering, Vol 4, Iss 4, p 83 (2016) Journal of Marine Science and Engineering; Volume 4; Issue 4; Pages: 83 |
| ISSN: | 2077-1312 |
| Popis: | The use of automated optimisation in engineering applications is emerging. In particular, nature inspired algorithms are frequently used because of their variability and robust application in constraints and multi-objective optimisation problems. The purpose of this paper is the comparison of four different algorithms and several optimisation strategies on a set of seven test propellers in realistic industrial design setting. The propellers are picked from real commercial projects and the manual final designs were delivered to customers. The different approaches are evaluated and final results of the automated optimisation toolbox are compared with designs generated in a manual design process. We identify a two-stage optimisation for marine propellers, where the geometry is first modified by parametrised geometry distribution curves to gather knowledge of the test case. Here we vary the optimisation strategy in terms of applied algorithms, constraints and objectives. A second supporting optimisation aims to improve the design by locally changing the geometry, based on the results of the first optimisation. The optimisation algorithms and strategies yield propeller designs that are comparable to the manually designed propeller blade geometries, thus being suitable as robust and advanced design support tools. The supporting optimisation, with local modification of the blade geometry and the proposed cavity shape constraints, features particular good performance in modifying cavitation on the blade and is, with the AS NSGA-II (adaptive surrogate-assisted NSGA-II), superior in lead time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|