Erratum to “A Knowledge Based Design Methodology for manufacturing assembly lines”

2002 ◽  
Vol 43 (3) ◽  
pp. 655
Author(s):  
Asar Khan ◽  
Andrew J Day
Keyword(s):  
Design Methodology ◽  
Assembly Lines ◽  
Knowledge Based ◽  
Manufacturing Assembly ◽  
Knowledge Based Design

KADS2: A Next Generation Knowledge Aided Design System

1997 ◽  
Author(s):  
William M. McVea ◽  
Kamyar Haghighi
Keyword(s):  
Design Methodology ◽  
System Development ◽  
Design System ◽  
Component Level ◽  
Design Synthesis ◽  
Work Related ◽  
Knowledge Based ◽  
Aided Design ◽  
Use Of Knowledge ◽  
Knowledge Based Design

Abstract Research has been conducted in the areas of design methodology, automation and use of knowledge based systems as a tool to improve the design efficiency, accuracy and consistency for mechanical power transmissions. The research capitalized on previous work related to component level design synthesis and analysis. The next logical step in the research progression was to look into system development and integration of design synthesis and analysis tools. Deliverables from this research include new knowledge acquisition techniques, a more complete model of design information flow and development and a knowledge based design assistant system, capable of integrating multiple discrete and disparate design tools.

Design of Composite Brakes Using Knowledge-Based Design Methodology

2012 ◽  
Vol 566 ◽  
pp. 324-330 ◽  
Author(s):  
Rachman Setiawan ◽  
E. Yulianto
Keyword(s):  
Global Optimization ◽  
Composite Materials ◽  
Objective Function ◽  
Design Methodology ◽  
Raw Materials ◽  
Brake Pad ◽  
Friction Materials ◽  
Knowledge Based ◽  
Design Database ◽  
Knowledge Based Design

In designing modern friction materials that are normally made of composite materials, a more systematical approach is needed in order to select the most appropriate composition of raw materials for specific applications. Here, knowledge-based design methodology has been formulated for composite brake design application, that consists of: design database generation from experiments, metamodelling, and global optimization processes. The objective function has incorporated, among others, the uncertainties introduced in the experimentally-obtained design database, so that providing the optmization results with the information of variation. The application of the methodology has been demonstrated to two cases, i.e. train brake and motorcycle brake pad, with the optimization results close to the targetted values and the information of output variation, as intended.

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