Function-based, biologically inspired concept generation

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Volumn 24, Issue 4, 2010, Pages 521-535

  Nagel, Jacquelyn K S ^a   Nagel, Robert L ^b   Stone, Robert B ^a   McAdams, Daniel A ^c  

^a Oregon State University   (United States)

^b JAMES MADISON UNIVERSITY   (United States)

^c Department of Electrical and Computer Engineering   (United States)

Author keywords

Biologically Inspired; Concept Generation; Engineering Design; Function Based Design

Indexed keywords

ABSTRACTION TECHNIQUES; ADAPTABLE DESIGN; BIOLOGICAL COMPONENTS; BIOLOGICAL INFORMATION; BIOLOGICAL MODELS; BIOLOGICAL ORGANISMS; BIOLOGICALLY INSPIRED; CONCEPT GENERATION; ENGINEERING COMPONENTS; ENGINEERING DESIGN; ENGINEERING DESIGNER; ENGINEERING INNOVATIONS; ENGINEERING KNOWLEDGE; FUNCTION-BASED DESIGN; FUNCTIONAL REPRESENTATION; FUNCTIONAL SOLUTION; GENERAL METHOD; MODELING METHODOLOGY; NATURAL WORLD; SYSTEMATIC DESIGN TECHNIQUES; TWO DOMAINS;

BIOLOGICAL SYSTEMS; DESIGN;

INNOVATION;

EID: 79952956147     PISSN: 08900604     EISSN: 14691760     Source Type: Journal    
DOI: 10.1017/S0890060410000375     Document Type: Article

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