Academic Journal

Controllable pitch propeller optimization through meta-heuristic algorithm

التفاصيل البيبلوغرافية
العنوان: Controllable pitch propeller optimization through meta-heuristic algorithm
المؤلفون: Bacciaglia, Antonio, Ceruti, Alessandro, Liverani, Alfredo
المساهمون: Bacciaglia, Antonio, Ceruti, Alessandro, Liverani, Alfredo
سنة النشر: 2021
المجموعة: IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
مصطلحات موضوعية: Design propeller, Particle swarm optimization, Controllable pitch propeller, CAD
الوصف: This paper describes a methodology to design and optimize a controllable pitch propeller suitable for small leisure ship boats. A proper range for design parameters has to be set by the user. An optimization based on the Particle Swarm Optimization algorithm is carried out to minimize a fitness function representing the engine’s fuel consumption. The OpenProp code has been integrated in the procedure to compute thrust and torque. Blade’s geometry and tables about pitch, thrust and consumption are the main output of the optimization process. A case study has been included to show how the procedure can be implemented in the design process. A case study shows that the procedure allows a designer to sketch a controllable pitch propeller with optimal efficiency; computational times are compatible with the design conceptual phase where several scenarios must be investigated to set the most suitable for the following detailed design. A drawback of this approach is given by the need for a quite skilled user in charge of defining the allowable ranges for design parameters, and the need for data about the engine and boat to be designed.
نوع الوثيقة: article in journal/newspaper
وصف الملف: ELETTRONICO
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000670289500038; volume:37; issue:3; firstpage:2257; lastpage:2271; numberofpages:15; journal:ENGINEERING WITH COMPUTERS; https://hdl.handle.net/11585/717058; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85078312433; https://link.springer.com/article/10.1007/s00366-020-00938-8; https://link.springer.com/journal/366
DOI: 10.1007/s00366-020-00938-8
الاتاحة: https://hdl.handle.net/11585/717058
https://doi.org/10.1007/s00366-020-00938-8
https://link.springer.com/article/10.1007/s00366-020-00938-8
https://link.springer.com/journal/366
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.7319F16A
قاعدة البيانات: BASE
الوصف
DOI:10.1007/s00366-020-00938-8