Xf. Zha et al., Knowledge-based approach and system for assembly-oriented design, Part II:the system implementation, ENG APP ART, 14(2), 2001, pp. 239-254
Citations number
27
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Assembly is one of the most important stages for product development. Assem
bly-oriented design (AOD) is a new approach to designing assemblies, which
uses a number of design and analysis tools to help the designer plan out an
d analyze candidate assembly schemes prior to having detailed knowledge of
the geometry of the parts. Using this approach. many assembly schemes can b
e inexpensively evaluated for their ability to deliver the important charac
teristics of the final product. This research proposes a knowledge-based ap
proach and develops an expert design system to support top-down design for
assembled products. The presentation of research report is divided into two
parts: the knowledge-based approach (Part I) and the knowledge-based exper
t design system (Part II). This paper is the second part of the report (Par
t II). It will focus on the development of knowledge-based expert design sy
stem for assembly oriented design. The knowledge-based assembly oriented de
sign system, i.e., the assembly oriented design expert system (AODES) is co
nstructed to integrate assembly modeling and design, assembly planning, ass
emblability analysis and evaluation within a concurrent engineering environ
ment. This intelligent system is implemented by integrating object-oriented
representation, constraint-based modeling, rule-based reasoning, truth mai
ntenance, and interfacing to database management system and CAD module, in
which fuzzy logic based knowledge representation and inference technique ar
e also applied to deal with uncertain data and knowledge in the design proc
ess. The developed system differs from the existing systems adopting part-f
irst bottom-up modeling technique, in which a comprehensive intelligent fra
mework is used for assembly modeling and design in a top-down manner from t
he conceptual level to the detailed level. It is able to help obtain better
design ideas, provide users with suggestions so as to create and improve a
design, and therefore give users the possibility to assess and reduce the
total production cost at an early stage during the design process. Through
the use of the system, the concurrent engineering knowledge can be effectiv
ely incorporated into the assembly design process in an integrated manner.
A case assembly design shows that the intelligent modeling and design syste
m is feasible. (C) 2001 Elsevier Science Ltd. All rights reserved.