SET APPROXIMATION BASED COMBINATORIAL SEARCH FOR INTERACTION NETWORK-BASED CONCEPTUAL DESIGN

Authors:
Keunho Choi;Kyoung-Yun Kim;Hyung-Jeong Yang
Affiliations:
Department of Industrial and Systems Engineering, Wayne State University, MI, USA;Department of Industrial and Systems Engineering, Wayne State University, MI, USA;School of Electronics and Computer Engineering, Chonnam National University, Gwangju-si, South Korea
Venue:
Journal of Integrated Design & Process Science
Year:
2011

Citing 13
Cited 0

Knowledge and Control for a Mechanical Design Expert System

Computer - Special issue on expert systems in engineering
Design transactions and retrospective planning: tools for conceptual design

Intelligent CAD systems II: implementational issues
Design prototypes: a knowledge representation schema for design

AI Magazine
Functional Reasoning in Design

IEEE Expert: Intelligent Systems and Their Applications
Platform-based product design and development: A knowledge-intensive support approach

Knowledge-Based Systems
Towards the design of intelligent CAD systems: An ontological approach

Advanced Engineering Informatics
Agents for multidisciplinary design in virtual worlds

Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A review of function modeling: Approaches and applications

Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Capturing design rationale

Computer-Aided Design
Multi-attribute utility analysis in set-based conceptual design

Computer-Aided Design
The future of computer-aided innovation

Computers in Industry
Physical concept ontology for the knowledge intensive engineering framework

Advanced Engineering Informatics
Deployment of an ontological framework of functional design knowledge

Advanced Engineering Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Cross-disciplinary technologies are noticeable phenomena in modern products, as found in renewable energy and electric vehicle industries. However, current conceptual design tools have been limited to respond these cross-disciplinary technology products. One of remarkable characteristics in this technology change is transforming an existing product with multiple cross-disciplinary technologies. Interaction Networks have been designed to respond this phenomenon. The networks aim to support a design process i.e. transformation process to produce a new product from a base product by adding and/or converting functions/features with reference products or technologies. In this paper, we propose a set approximation technique that can search functions and structures that are beyond the existing design repository, while considering a design process context to combine multi-disciplinary functions/features. Also, to facilitate the transformation process, this paper proposes the Function-Behavior Interaction and Structure-Behavior networks, and compares a base product with multiple products via the two types of networks.