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dc.contributor.authorAnemaat, Wilhelmus A. J.
dc.date.accessioned2021-10-08T18:41:21Z
dc.date.available2021-10-08T18:41:21Z
dc.date.issued2007-05-31
dc.identifier.urihttp://hdl.handle.net/1808/31948
dc.descriptionDissertation (Ph.D.)--University of Kansas, Aerospace Engineering, 2007.en_US
dc.description.abstractThe goal of work described herein is to develop the second generation of Advanced Aircraft Analysis (AAA) into an object-oriented structure which can be used in different environments. One such environment is the third generation of AAA with its own user interface, the other environment with the same AAA methods (i.e. the knowledge) is the AAA-AML program. AAA-AML automates the initial airplane design process using current AAA methods in combination with AMRaven methodologies for dependency tracking and knowledge management, using the TechnoSoft Adaptive Modeling Language (AML).

This will lead to the following benefits: (1) Reduced design time: computer aided design methods can reduce design and development time and replace tedious hand calculations. (2) Better product through improved design: more alternative designs can be evaluated in the same time span, which can lead to improved quality. (3) Reduced design cost: due to less training and less calculation errors substantial savings in design time and related cost can be obtained. (4) Improved Efficiency: the design engineer can avoid technically correct but irrelevant calculations on incomplete or out of sync information, particularly if the process enables robust geometry earlier.

Although numerous advancements in knowledge based design have been developed for detailed design, currently no such integrated knowledge based conceptual and preliminary airplane design system exists.

The third generation AAA methods are tested over a ten year period on many different airplane designs. Using AAA methods will demonstrate significant time savings. The AAA-AML system will be exercised and tested using 27 existing airplanes ranging from single engine propeller, business jets, airliners, UAV's to fighters. Data for the varied sizing methods will be compared with AAA results, to validate these methods. One new design, a Light Sport Aircraft (LSA), will be developed as an exercise to use the tool for designing a new airplane.

Using these tools will show an improvement in efficiency over using separate programs due to the automatic recalculation with any change of input data. The direct visual feedback of 3D geometry in the AAA-AML, will lead to quicker resolving of problems as opposed to conventional methods.
en_US
dc.publisherUniversity of Kansasen_US
dc.rightsThis item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.en_US
dc.subjectApplied sciencesen_US
dc.subjectAircraften_US
dc.subjectAircraft designen_US
dc.subjectAirplaneen_US
dc.subjectConceptual designsen_US
dc.subjectKnowledge-based designen_US
dc.titleA knowledge-based design framework for airplane conceptual and preliminary designen_US
dc.typeDissertationen_US
dc.thesis.degreeDisciplineAerospace Engineering
dc.thesis.degreeLevelPh.D.
kusw.bibid5349183
dc.rights.accessrightsopenAccessen_US


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