GRAPH REPRESENTATION OF PHYSICAL EFFECTS NETWORKS IN CONCEPTUAL DESIGN

被引:0
|
作者
Graebsch, Martin [1 ]
Deubzer, Frank [1 ]
Lindemann, Udo [1 ]
机构
[1] Tech Univ Munich, Inst Prod Dev, D-85748 Garching, Germany
关键词
Physical effects; graph representation; conceptual design; solution space; DSM;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a graph representation of networks of physical effects for supporting the generation of alternative solutions in conceptual design. Physical parameters are herein understood as elements which have physical effects as input and output. Physical parameters can be linked to other physical parameters by physical effects that match their respective input and output. For a given design problem, if both a starting parameter and a desired end parameter are known, lists of physical effects can thus be used to build a network of physical effects that encompasses all physically possible solutions. This network can be displayed using graph representations, constituting a solution space on the physical effect level of abstraction. Via the application of constraints, valid chains of physical effects to a given design problem can be extracted. Examples of use are given and transforming the graph representation to design structure matrix methodology is discussed.
引用
收藏
页码:247 / 254
页数:8
相关论文
共 50 条
  • [1] DesignNet: a knowledge graph representation of the conceptual design space
    Huang, Ziheng
    MacNeil, Stephen
    [J]. 2023 PROCEEDINGS OF THE 15TH CONFERENCE ON CREATIVITY AND COGNITION, C&C 2023, 2023, : 375 - 377
  • [2] Graph Semantic Based XML Data Warehouse: Conceptual Design to Logical Representation
    Sarkar, Anirban
    Choudhury, Sankhayan
    Debnath, Narayan C.
    [J]. TENCON 2014 - 2014 IEEE REGION 10 CONFERENCE, 2014,
  • [3] Graph - semantic based web data model: Conceptual design to logical representation
    Sanyal, Abhijit
    Sarkar, Anirban
    Choudhury, Sankhayan
    Bae, Wan D.
    [J]. JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2011, 11 : S77 - S88
  • [4] Intelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
    Bai, Huajun
    Yu, Hong
    Yao, Hongxi
    Chen, Ling
    Gui, Hao
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2024, 17 (01)
  • [5] The representation of semantic constraints in conceptual graph systems
    Mineau, GW
    Missaoui, R
    [J]. CONCEPTUAL STRUCTURES: FULFILLING PEIRCE'S DREAM, 1997, 1257 : 138 - 152
  • [6] GRAPH BASED REPRESENTATION AND ANALYSES FOR CONCEPTUAL STAGES
    Coatanea, Eric
    Nonsiri, Sarayut
    Christophe, Francois
    Mokammel, Faisal
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 1A, 2014,
  • [7] Conceptual Graph Formalism for Financial Text Representation
    Kamaruddin, Siti Sakira
    Hamdan, Abdul Razak
    Abu Bakar, Azuraliza
    Nor, Fauzias Mat
    [J]. INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE, 2008, : 1751 - +
  • [8] A graph representation of filter networks
    Svensson, B
    Andersson, M
    Knutsson, H
    [J]. IMAGE ANALYSIS, PROCEEDINGS, 2005, 3540 : 1086 - 1095
  • [9] A representation for conceptual design of buildings
    Rivard, H
    Fenves, SJ
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2000, 14 (03) : 151 - 159
  • [10] Enabling Representation Learning in Ontology-Driven Conceptual Modeling Using Graph Neural Networks
    Ali, Syed Juned
    Guizzardi, Giancarlo
    Bork, Dominik
    [J]. ADVANCED INFORMATION SYSTEMS ENGINEERING, CAISE 2023, 2023, 13901 : 278 - 294