NoDes: kNOwledge-based modeling for detailed DESign process — from analysis to implementation

2001 ◽  
Vol 10 (4) ◽  
pp. 399-416 ◽  
Author(s):  
Manolya Kavakli
2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.


2014 ◽  
Vol 22 (4) ◽  
pp. 291-308
Author(s):  
Jian Huang ◽  
Yong Chen ◽  
Zhinan Zhang ◽  
Youbai Xie

Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu

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.


Author(s):  
C. R. Liu ◽  
J. C. Trappey

Abstract This paper discusses the concept of managing the design process using Objected Oriented Programming Paradigm. A software system shell, called MetaDesigner is being developed for aiding the human designer to create new designs, based on the hierarchical nature of the design space. This system shell is intended to have the following capabilities: (1) interactive and system-guided design process to analyze design structure and to characterize design options, (2) to provide interactive and system-guided knowledge acquisition, classification, and retrieval to achieve machine learning, and (3) to build a flexible and forever expandable structure for knowledge-based system implementation.


Author(s):  
Maxime Moret ◽  
Alexandre Delecourt ◽  
Hany Moustapha ◽  
Francois Garnier ◽  
Acher-Igal Abenhaim

The use of Multidisciplinary Design Optimization (MDO) techniques at the preliminary design phase (PMDO) of a gas turbine engine allows investing more effort at the pre-detailed phase in order to prevent the selection of an unsatisfactory concept early in the design process. Considering the impact of the turbine tip clearance on an engine’s efficiency, an accurate tool to predict the tip gap is a mandatory step towards the implementation of a full PMDO system for the turbine design. Tip clearance calculation is a good candidate for PMDO technique implementation considering that it implies various analyses conducted on both the rotor and stator. As a first step to the development of such tip clearance calculator satisfying PMDO principles, the present work explores the automation feasibility of the whole analysis phase of a turbine rotor preliminary design process and the potential increase in the accuracy of results and time gains. The proposed conceptual system integrates a thermal boundary conditions automated calculator and interacts with a simplified air system generator and with several conception tools based on parameterized CAD models. Great improvements were found when comparing this work’s analysis results with regular pre-detailed level tools, as they revealed to be close to the one generated by the detailed design tools used as target. Moreover, this design process revealed to be faster than a common preliminary design phase while leading to a reduction of time spent at the detailed design phase. By requiring fewer user inputs, this system decreases the risk of human errors while entirely leaving the important decisions to the designer.


2012 ◽  
Vol 538-541 ◽  
pp. 2990-2994
Author(s):  
Jun Zheng

In order to provide knowledge service more efficiently for complex mechanical product design, a knowledge organization model for complex mechanical product design knowledge based on the process modular approach was proposed. First, a general form, the knowledge instance, would be used to represent all forms of the knowledge for complex mechanical product design; then, based on the contents and features of the knowledge instances and the semantic relations in the domain ontology, the special collections of the knowledge instances which have related features would be composed to knowledge modules, and knowledge modules would be organized as a DAG(directed acyclic graph). The complex mechanical product design knowledge could be efficiently and completely queried based-on semantic according to the logical relationships expressed in the DAG.


Sign in / Sign up

Export Citation Format

Share Document