A Data Mining-Based Engineering Design Support System: A Research Agenda

2001 ◽  
pp. 161-178 ◽  
Author(s):  
Carol J. Romanowski ◽  
Rakesh Nagi
Keyword(s):  
Data Mining ◽  
Engineering Design ◽  
Support System ◽  
Research Agenda ◽  
Design Support ◽  
System A ◽  
Design Support System

2414 Evaluation of the Conceptual Design Support System for Creative and Inventive Engineering Design

2005 ◽  
Vol 2005.15 (0) ◽  
pp. 406-409
Author(s):  
Hiroshi HASEGAWA ◽  
Yuki SONODA ◽  
Yusuke SATO ◽  
Keishi KAWAMO
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Support System ◽  
Design Support ◽  
Design Support System

Trial of a Conceptual Design Support System for Creative and Inventive Engineering Design

2004 ◽  
Vol 2004.14 (0) ◽  
pp. 16-18
Author(s):  
Yusuke Sato ◽  
Hiroshi Hasegawa ◽  
Hiroshi Okamura ◽  
Keiji Kawamo
Keyword(s):  
Engineering Design ◽  
Conceptual Design ◽  
Support System ◽  
Design Support ◽  
Design Support System

A knowledge-based architecture for intelligent design support

1997 ◽  
Vol 12 (4) ◽  
pp. 387-406 ◽  
Author(s):  
MING XI TANG
Keyword(s):  
Knowledge Representation ◽  
Engineering Design ◽  
Support System ◽  
Intelligent Design ◽  
Knowledge Engineering ◽  
Design Knowledge ◽  
Design Support ◽  
Knowledge Based ◽  
Design Support System ◽  
Knowledge Based Design

The development of a knowledge-based design support system is a lengthy and costly process because various computational techniques necessary for intelligent design support are not readily available in a knowledge-based environment. The systematisation of design knowledge needs combined efforts from designers and knowledge engineers. Existing knowledge-based system development tools offer limited support to intelligent design support which require sophisticated knowledge engineering techniques in terms of knowledge representation, inference, control, truth maintenance and learning. In this paper, a knowledge-based architecture for intelligent design support is described. The existing knowledge-based design system architectures are reviewed first. Five key issues in intelligent design support using knowledge engineering techniques, i.e. design knowledge representation, structure of design knowledge base, intelligent control of design process, consistency and context management of design knowledge, and modelling of design collaboration are then discussed. These discussions provide a basis for a description of a knowledge-based design support system architecture which has been implemented in a Lisp-based environment and tested in two different domains. Current application of this architecture in the development of a design support system in the domain of mechanical engineering design at the Cambridge Engineering Design Centre is presented and evaluated.

SmartPulley: Web-based Design Support System for Automotive Steel Pulley

2006 ◽  
Author(s):  
D. M. Chun ◽  
H. J. Kim ◽  
S. H. Ahn ◽  
J. D. Jang ◽  
G. B. Lee
Keyword(s):  
Support System ◽  
Design Support ◽  
Web Based ◽  
Design Support System ◽  
Automotive Steel
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