東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Interactive Optimisation in Marine P...

Gypa, Ioli,

FindBook

Google Book

Amazon

博客來

Interactive Optimisation in Marine Propeller Design /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Interactive Optimisation in Marine Propeller Design // Ioli Gypa.
作者:	Gypa, Ioli,
面頁冊數:	1 electronic resource (49 pages)
附註:	Source: Masters Abstracts International, Volume: 83-06.
Contained By:	Masters Abstracts International83-06.
標題:	Cavitation. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28830256
ISBN:	9798496574105

Interactive Optimisation in Marine Propeller Design /
Gypa, Ioli,

Interactive Optimisation in Marine Propeller Design /Ioli Gypa. - 1 electronic resource (49 pages)

Source: Masters Abstracts International, Volume: 83-06.

Marine propeller design is a complex engineering problem that depends on the collaboration of several scientific disciplines. During the design process, the blade designers need to consider contradicting requirements and come up with one optimal propeller design as a solution to the specific problem. This solution is usually the trade-off between the stakeholders' requirements and the objectives and constraints of the problem.The significant amount of design variables related to blade design problems requires a systematic search in a large design space. Automated optimisation has been utilised for a number of blade design applications, as it has the advantage of creating a large set of design alternatives in a short period of time. However, automated optimisation has failed to be used in industrial applications, due to its complex set-up and the fact that in more complex scenarios the majority of the non-dominated design alternatives are infeasible. This necessitates a way of enabling the blade designers to interact with the algorithm during the optimisation process.The purpose of this thesis is to develop a methodology that supports the blade designers during the design process and to enable them to interact with the design tools and assess design characteristics during the optimisation. The overall aim is to improve the design performance and speed. According to the proposed methodology, blade designers are called during intermediate stages of the optimisation to provide information about the designs and then this information is input in the algorithm. The goal is to steer the optimisation to an area of the design space with feasible Pareto designs, based on the designer's preference. Since there are objectives and constraints that cannot be quantified with the available computational tools, keeping the "human in the loop" is essential, as a means to obtain feasible designs and quickly eliminate designs that are impractical or unrealistic.The results of this research suggest that through the proposed methodology the designers have more control over the whole optimisation procedure and they obtain detailed Pareto frontiers that involve designs that are characterised by high performance and follow the user preference.

English

ISBN: 9798496574105Subjects--Topical Terms:

838264
Cavitation.

Interactive Optimisation in Marine Propeller Design /
LDR:03600nmm a22004333i 4500 001 2430217
005 20250519115922.5
006 m o d
007 cr|nu||||||||
008 261011s2021 miu||||||m |||||||eng d
020 $a 9798496574105
035 $a (MiAaPQD)AAI28830256
035 $a (MiAaPQD)Chalmers_SE523931
035 $a AAI28830256
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Gypa, Ioli, $e author. $3 3818435
245 1 0 $a Interactive Optimisation in Marine Propeller Design / $c Ioli Gypa.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 1 electronic resource (49 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 83-06.
500 $a Advisors: Bensow, Rickard; Wolf, Krister.
502 $b Lic.Eng $c Chalmers Tekniska Hogskola (Sweden) $d 2021.
520 $a Marine propeller design is a complex engineering problem that depends on the collaboration of several scientific disciplines. During the design process, the blade designers need to consider contradicting requirements and come up with one optimal propeller design as a solution to the specific problem. This solution is usually the trade-off between the stakeholders' requirements and the objectives and constraints of the problem.The significant amount of design variables related to blade design problems requires a systematic search in a large design space. Automated optimisation has been utilised for a number of blade design applications, as it has the advantage of creating a large set of design alternatives in a short period of time. However, automated optimisation has failed to be used in industrial applications, due to its complex set-up and the fact that in more complex scenarios the majority of the non-dominated design alternatives are infeasible. This necessitates a way of enabling the blade designers to interact with the algorithm during the optimisation process.The purpose of this thesis is to develop a methodology that supports the blade designers during the design process and to enable them to interact with the design tools and assess design characteristics during the optimisation. The overall aim is to improve the design performance and speed. According to the proposed methodology, blade designers are called during intermediate stages of the optimisation to provide information about the designs and then this information is input in the algorithm. The goal is to steer the optimisation to an area of the design space with feasible Pareto designs, based on the designer's preference. Since there are objectives and constraints that cannot be quantified with the available computational tools, keeping the "human in the loop" is essential, as a means to obtain feasible designs and quickly eliminate designs that are impractical or unrealistic.The results of this research suggest that through the proposed methodology the designers have more control over the whole optimisation procedure and they obtain detailed Pareto frontiers that involve designs that are characterised by high performance and follow the user preference.
546 $a English
590 $a School code: 0419
650 4 $a Cavitation. $3 838264
650 4 $a Machinery. $3 524780
650 4 $a Genetic algorithms. $3 533907
650 4 $a Engineering. $3 586835
650 4 $a Geometry. $3 517251
650 4 $a Applied mathematics. $3 2122814
650 4 $a Computer science. $3 523869
650 4 $a Design. $3 518875
650 4 $a Mathematics. $3 515831
690 $a 0537
690 $a 0364
690 $a 0800
690 $a 0984
690 $a 0389
690 $a 0405
710 2 $a Chalmers Tekniska Hogskola (Sweden). $e degree granting institution. $3 3770588
720 1 $a Bensow, Rickard $e degree supervisor.
720 1 $a Wolf, Krister $e degree supervisor.
773 0 $t Masters Abstracts International $g 83-06.
790 $a 0419
791 $a Lic.Eng
792 $a 2021
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28830256