An agent-based framework for guiding conceptual design of mechanical products

To strengthen the competitive force in the current global market, the manufacturing enterprise should constantly carry out innovative design and produce new products in an effective way. However, up to 85% of the lifecycle costs of a product are determined during the conceptual design, while at this stage only about 5% of the lifecycle costs has been spent. Therefore, decisions made at this stage have significant influence. At the same time, product conceptual design is the process of collaboration with multidisciplinary experts. In this paper, an agent-based approach is presented for guiding mechanical product conceptual design. First, the functional parameters and design variables are given by analysing mechanical product design requirements, and a behavioural matrix model is proposed by using bond graph fundamental elements. Then, an agent-based framework is established for solving behavioural matrix model, realizing effort-flow transforming operations to produce functional means tree and multi-solutions, and making further evaluation with the aid of agent technologies. Finally, an example of the design synthesis is represented to show an application for the special jig design in the machine centre.

[1]  J.Y.H. Fuh,et al.  A Multi-Agent-Based Agile Scheduling Model for a Virtual Manufacturing Environment , 2003 .

[2]  Dunbing Tang An agent-based collaborative design system to facilitate active die-maker involvement in stamping part design , 2004, Comput. Ind..

[3]  Jonathan Cagan,et al.  Agent-Based Synthesis of Electromechanical Design Configurations , 2000 .

[4]  Yun Peng,et al.  Agent communication languages: the current landscape , 1999, IEEE Intell. Syst..

[5]  Nam P. Suh,et al.  Axiomatic Design Theory for Systems , 1998 .

[6]  Y.-M. Deng,et al.  Constraint-based functional design verification for conceptual design , 2000, Comput. Aided Des..

[7]  John W. Barrus,et al.  Automated generation and analysis of dynamic system designs , 1998 .

[8]  Weiming Shen,et al.  Collaborative conceptual design - state of the art and future trends , 2002, Comput. Aided Des..

[9]  Weiming Shen,et al.  CLOVER: an agent-based approach to systems interoperability in cooperative design systems , 2001, Comput. Ind..

[10]  Dongxing Cao CONCEPTUAL DESIGN OF MECHANICAL PRODUCT BASED ON FUNCTIONAL DECOMPOSITION , 2001 .

[11]  Jonathan Cagan,et al.  The A-Design approach to managing automated design synthesis , 2003 .

[12]  John S. Gero,et al.  Function–behavior–structure paths and their role in analogy-based design , 1996, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[13]  Alan S. Perelson,et al.  System Dynamics: A Unified Approach , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Joe Cecil,et al.  A Clamping Design Approach for Automated Fixture Design , 2001 .

[15]  Rob H. Bracewell,et al.  The Use of Bond Graph Reasoning for the Design of Interdisciplinary Schemes , 1995 .

[16]  Tim Finin,et al.  Mobile agents can benefit from standards efforts on interagent communication , 1998, IEEE Commun. Mag..

[17]  Wynne Hsu,et al.  Conceptual design: issues and challenges , 2000, Comput. Aided Des..

[18]  John Durkin,et al.  Expert systems - design and development , 1994 .

[19]  Y.-M. Deng,et al.  EFDEX: A Knowledge-Based Expert System for Functional Design of Engineering Systems , 2001, Engineering with Computers.

[20]  Matthew I. Campbell,et al.  New Advances in the Functional Modeling of Electro-Mechanical Components , 2002 .

[21]  Fujun Wang,et al.  CADOM: A Component Agent-based Design-Oriented Model for Collaborative Design , 1999 .

[22]  John R. Dixon,et al.  Guiding conceptual design through behavioral reasoning , 1994 .

[23]  Zhonghua Yang,et al.  Agent that models, reasons and makes decisions , 2002, Knowl. Based Syst..

[24]  Johan Malmqvist,et al.  Improved Function-means Trees by Inclusion of Design History Information , 1997 .

[25]  A. Senthil Kumar,et al.  Conceptual Design of Fixtures Using Machine Learning Techniques , 2000 .