ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE
This paper presents an advanced morphological approach supporting designers and developers in their search for as well as synthesis and analysis of new engineering solutions during the conceptual design stage. The proposed method is based on the cluster analysis and the set theory, the set of rules...
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University of Niš
2019-11-01
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Series: | Facta Universitatis. Series: Mechanical Engineering |
Online Access: | http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/3464 |
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doaj-230afe8728e34be5aaa11fd152b0936e2020-11-25T03:13:30ZengUniversity of NišFacta Universitatis. Series: Mechanical Engineering0354-20252335-01642019-11-0117332133210.22190/FUME180110005B2246ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGEAndreas Bardenhagen0Dmitry Rakov1Aircraft Design and Aerostructures at the Institute of Aeronautics and Astronautics, Technische Universität Berlin, GermanyInstitute of Engineering Science Russian Academy of SciencesThis paper presents an advanced morphological approach supporting designers and developers in their search for as well as synthesis and analysis of new engineering solutions during the conceptual design stage. The proposed method is based on the cluster analysis and the set theory, the set of rules and engineering implementations maximizing the gain of the products potential. The number of possible combinations using the standard morphological technology is extremely large. We present a mathematical framework that handles this problem. The method was evaluated with case studies of new engineering solutions in aerospace, ecology and adaptive soundproofing system. The case studies verified the significant potential of the proposed approach in comparison with the methods presently in use.http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/3464 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andreas Bardenhagen Dmitry Rakov |
spellingShingle |
Andreas Bardenhagen Dmitry Rakov ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE Facta Universitatis. Series: Mechanical Engineering |
author_facet |
Andreas Bardenhagen Dmitry Rakov |
author_sort |
Andreas Bardenhagen |
title |
ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE |
title_short |
ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE |
title_full |
ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE |
title_fullStr |
ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE |
title_full_unstemmed |
ADVANCED MORPHOLOGICAL APPROACH IN AEROSPACE DESIGN DURING CONCEPTUAL STAGE |
title_sort |
advanced morphological approach in aerospace design during conceptual stage |
publisher |
University of Niš |
series |
Facta Universitatis. Series: Mechanical Engineering |
issn |
0354-2025 2335-0164 |
publishDate |
2019-11-01 |
description |
This paper presents an advanced morphological approach supporting designers and developers in their search for as well as synthesis and analysis of new engineering solutions during the conceptual design stage. The proposed method is based on the cluster analysis and the set theory, the set of rules and engineering implementations maximizing the gain of the products potential. The number of possible combinations using the standard morphological technology is extremely large. We present a mathematical framework that handles this problem. The method was evaluated with case studies of new engineering solutions in aerospace, ecology and adaptive soundproofing system. The case studies verified the significant potential of the proposed approach in comparison with the methods presently in use. |
url |
http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/3464 |
work_keys_str_mv |
AT andreasbardenhagen advancedmorphologicalapproachinaerospacedesignduringconceptualstage AT dmitryrakov advancedmorphologicalapproachinaerospacedesignduringconceptualstage |
_version_ |
1724646525693329408 |