An Expert System for the Conceptual Design of Bridges

2009 ◽  
Author(s):  
J.C. Miles ◽  
C.J. Moore
Keyword(s):  
Expert System ◽  
Conceptual Design

An Advisory Conceptual Design Tool for Mechanical Transmission Systems

1994 ◽  
Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Conceptual Design ◽  
Design Process ◽  
Design Tool ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Packaging Machine

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.

Shaping of Spherical Joints in Space Structures

1988 ◽  
Vol 3 (3) ◽  
pp. 171-183 ◽  
Author(s):  
Tomasz Arciszewski ◽  
Kalu Uduma
Keyword(s):  
Working Memory ◽  
Expert System ◽  
Conceptual Design ◽  
Design Method ◽  
Space Structures ◽  
Trial And Error ◽  
Innovative Design

This paper discusses the conceptual design of spherical joints in space structures. Known spherical joints were analyzed and six innovative shaping concepts identified. The analysis revealed general tendencies in the shaping of spherical joints over a period of more than 15 years. Also, a surprising “human innovation limit”, supposedly related to the limits of “human working memory”, was observed. A formal typology of spherical joints is proposed and discussed in the context of innovative design. Three different approaches are considered: traditional, trial-and-error, and application of a computer-oriented innovative design method called Stochastic Form Optimization, and utilization of learning expert system shells for conceptual design.

QUINT: A Problem-Solving Strategy for Mechanical System Conceptual Design: Part I — Environment, Function, Structure, and Parameter

1990 ◽  
Author(s):  
Wang Qun ◽  
Yang Haibin ◽  
Zhou Ji ◽  
Yu Jun
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
System Design ◽  
Mechanical System ◽  
Conceptual Design ◽  
General Scheme ◽  
Scheme Design ◽  
Design Expert ◽  
Problem Solving Strategy ◽  
Solving Strategy

Abstract Mechanical system conceptual design, sometimes termed mechanical system scheme design or preliminary mechanical system design, is the key link of mechanical system design, and also the bottleneck of integrated CAD / CAM [1][2][3]. Therefore, it is important to automize this part of work to promote the quality of mechanical system design and the extent of product design automation. This paper will discuss in detail a problem-solving strategy for mechanical system conceptual design — QUINT. It devides the conceptual design into five stages: (1) environment ▸ function; (2) function ▸ structure; (3) structure ▸ parameters; (4) parameters ▸ analysis; (5) analysis ▸ evaluation and decision. QUINT has already been successfully applied in CDESTOOL (Conceptual Design Expert System TOOL). With this tool, three practical systems have been developed: industrial turbine general scheme design expert system (TDES), wheel loader general scheme design expert system (WLDES), and milling-boring machining center scheme design expert system (MDES). The result is fairly satisfactory.

An Attempt to Design Expert System: Conceptual Design of Framework Structures

1988 ◽  
pp. 1334-1335
Author(s):  
M. Tanaka ◽  
Y. Seguchi ◽  
H. Takenaka
Keyword(s):  
Expert System ◽  
Conceptual Design ◽  
Design Expert

Research on Effect Chain Model with Prolog

2011 ◽  
Vol 421 ◽  
pp. 578-581
Author(s):  
Huan Huan Su ◽  
Chang Qing Gao ◽  
Bo Yang ◽  
Bing Lv
Keyword(s):  
Life Cycle ◽  
Expert System ◽  
Problem Solving ◽  
Conceptual Design ◽  
Expert Knowledge ◽  
Design Stage ◽  
Chain Model ◽  
Innovative Design ◽  
Problem Solving Process ◽  
Reasoning Mechanism

Conceptual design is the most innovative stages in the life cycle of product development, and effect is the solving tools of TRIZ based on knowledge. The use of effects to solve the problem of conceptual design stage can improve the efficiency of Innovative design and competitiveness of enterprises. The problem-solving process of effects applied was described in this paper. In PROLOG environment, the knowledge representation was used to write the effect as expert knowledge base, and then the reasoning mechanism was used to make a simple expert system of effect. It also can be used to help designers check and resolve the design issues more conveniently.

An expert system for the conceptual design of bridges

1991 ◽  
Vol 40 (1) ◽  
pp. 101-105 ◽  
Author(s):  
J.C. Miles ◽  
C.J. Moore
Keyword(s):  
Expert System ◽  
Conceptual Design
Sign in / Sign up

Export Citation Format

Share Document