A framework for supporting multidisciplinary engineering design exploration and life-cycle design using underconstrained problem solving

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Volumn 20, Issue 4, 2006, Pages 329-350

  Yan, Xiu Tian ^a   Sawada, Hiroyuki ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Algebraic constraints; Constraint based design; Design insights; Gr bner base; Life cycle synthesis

Indexed keywords

CONSTRAINT THEORY; DECISION MAKING; FEATURE EXTRACTION; PROBLEM SOLVING; SYSTEMS ANALYSIS;

ALGEBRAIC CONSTRAINTS; CONSTRAINT-BASED DESIGN; DESIGN INSIGHTS; GRÖBNER BASE; LIFE-CYCLE SYNTHESIS;

PRODUCT DESIGN;

EID: 33947374340     PISSN: 08900604     EISSN: 14691760     Source Type: Journal    
DOI: 10.1017/S0890060406060240     Document Type: Article

References (47)

1. Andreasen, M.M. (1991a). Design methodoloay, Journal of Engineering Design 2(4), 321-335.
2. Andreasen, M.M. (1991b). The theory of domains. Workshop on Understanding Function and Function to Form Evolution, University of Cambridge.
3. Andreasen, M.M., & Hein, L. (2000). Integrated Product Development; Institute for Product Development. Copenhagen: Technical University of Denmark.
4. Bahler, D., Dupont, C., & Bowen, J. (1994). An axiomatic approach that supports negotiated resolution of design conflicts in concurrent engineering. In Artificial Intelligence in Design '94 (Gero, J.G., Ed.), pp. 363-379. New York: Kluwer Academic.
5. Borg, J., Yan, X.T., & Juster, N.P. (2000). Exploring decision's influence on life-cycle performance to aid "design for multi-X." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 14(2), 91-113.
6. Bowen, J., & Bahler, D. (1992). Frames, quantification, perspectives, and negotiation in constraint networks for life-cycle engineering. Artificial Intelligence in Engineering 7(2), 199-226.
7. Bowler, C., Hicks, B.J., Medland, A.J., & Mullineux, G. (2001). Assisted model development for kinematic analysis and optimisation of mechanical systems. Int. Conf. Engineering Design ICED01, Design Methods for Performance and Sustainability (Culley, S., Duffy, A., McMahon, C., & Wallace, K., Eds.), pp. 91-98, Glasgow.
8. Bracewell, R.H., Chaplin, R.V., Langdon, P., Li, M., Oh, V., Sharpe, J.E.E., & Yan, X.T. (1995). Integrated platform for AI support of complex design (Part 1) and (Part 2). In Al System Support for Conceptual Design, Int. Workshop on Engineering Design, Ambleside, UK, March 27-29.
9. Buchberger, B. (1985). Gröbner bases: an algorithmic method in polynomial ideal theory. In Multidimensional Systems Theory (Bose, N.K., Ed.), pp. 184-232. Dordrecht: Reidel.
10. Cox, D., Little, J., & O'Shea, D. (1997). Ideals, Varieties and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 2nd ed. New York: Springer-Verlag.
11. Crow, K. (2002). Customer focused development with QFD. DRM Associates. Available on-line at http://www.npd-solutions.com/qfd.html
12. Deitel, H.M., & Deitel, P.J. (2005). C+ + How to Program, 5th ed. Englewood Cliffs, NJ: Prentice-Hall.
13. Dym, C.L., & Little, P. (2000). Engineering Design: A Project-Based Introduction. New York: Wiley.
14. French, M. (1999). Conceptual Design for Engineers, 3rd ed. New York: Springer-Verlag.
15. Gao, X., Lin, Q., & Zhang, G. (2006). A C-tree decomposition algorithm for 2D and 3D geometric constraint solving. Computer-Aided Design 38(1), 1-13.
16. Imamura, S. (1992). FDL: a constraint based object oriented language for functional design. IFIP Transactions B (Applications in Technology) B-3, 227-236.
17. Imamura, S. (1995). Towards more flexible parametric design support by introducing transformable object oriented language. Computer Applications in Production and Engineering: Proc. CAPE '95 (Sun, Q.N., Tang, Z., & Zhang, Y., Eds.), pp. 548-55. London: Chapman & Hall.
18. Karnopp, D.C., Margolis, D.L., & Rosenberg, R.C. (1990). System Dynamics, A Unified Approach, 2nd ed. New York: Wiley.
19. Kopsch, J., Marx, P., & Lechner, G. (1997). Modelling engineering design knowledge with constraints. Proc. 3rd Int. Conf. Practical Application of Constraint Technology (PACT 97), pp. 213-224.
20. Kolodner, J. (1993). Case-Based Reasoning. San Mateo, CA: Morgan Kaufmann.
21. Kuokka, D., & Livezey, B. (1994). A collaborative parametric design agent. Proc. 12th National Conf. Artificial Intelligence, Vol. 1, pp. 387-393.
22. Lottaz, C., Stalker, R., & Smith, I. (1998). Constraint solving and preference activation for interactive design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12(1), 13-27.
23. Medland, A.J., Mullineux, G., Rentoul, A.H., & Twyman, B.R. (1996). A constraint-based approach to the design and optimisation of mechanism systems. IUTAM Symp. Optimisation of Mechanical Systems, pp. 205-212.
24. Mortensen, N.H., & Andreasen, M.M. (1996). Designing in an interplay with a product model - explained by design units. TMCE'96, Budapest, Hungary.
25. Mullins, S., & Anderson, D. (1998). Automatic identification of geometric constraints in mechanical assemblies. Computer-Aided Design 30, 715-726.
26. Navinchandra, D. (1991). Exploration and Innovation in Design: Towards a Computational Model. New York: Springer-Verlag.
27. Noro, M., & Takeshima, T. (1992). Risa/Asir - a computer algebra system. Proc. ISSAV'92, pp. 387-396.
28. O'Sullivan, B. (1999). Constraint-aided conceptual design. PhD Thesis, University College Cork.
29. O'Sullivan, B. (2002). Interactive constraint-aided conceptual design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 16(4), 303-328.
30. Pahl, G., & Beitz, W. (1996). Engineering Design - A Systematic Approach. London: Springer-Verlag.
31. Petrie, C., Jeon, H., & Cutkosky, M.R. (1996). Combining Constraint Propagation and Backtracking for Distirbuted Engineering, Technical Report CDR-TR-19960813. Stanford, CA: Stanford University, Center for Design Research. Available on-line at http://cdr.stanford.edu/ pub/CDR/Publications/Reports/constraint.html
32. Petrie, C., Webster, T.A., & Cutkosky, M.R. (1995). Using Pareto optimality to coordinate distributed agents. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 9(4), 269-281.
33. Pugh, S. (1991). Total Design-Integrated Methods for Successful Product Engineering. Reading, MA: Addison-Wesley.
34. Rehman, F., & Yan, X.T. (2005). A prototype system to support conceptual design synthesis for Multi-X. Proc. 2005 14th Int. Conf. Engineering Design ICED05, Melbourne, Australia.
35. Roozenburg, N.F.M., & Eekels, J. (1995). Product Design: Fundamentals and Methods. West Sussex: Wiley.
36. Sawada, H. (1998). The algebraic under constrain solver as a design tool. Proc. 1998 IMACS Conf. Applications of Computer Algebra.
37. Sawada, H. (2001). Constraint-based computer support for insightful multidisciplinary engineering design. PhD Thesis, University of Strathclyde, Department of Design, Manufacture and Engineering Management.
38. Sawada, H., & Yan, X.T. (2000). Preliminary design support system based on a generic under-constraint solving technique. ASME 2000 Int. Design Engineering Technical Conf. and the Computers and Information in Engineering Conf. Baltimore, MD: ASME Design Automation.
39. Sawada, H., & Yan, X.T. (2004). Application of Gröbner bases and quantifier elimination for insightful engineering design. Mathematics and Computers in Simulation 67(1-2), 135-148.
40. Sekiya, T., & Tomiyama, T. (1997). Case studies of ontology for the knowledge intensive engineering framework. In Knowledge Intensive CAD (Mantyla, M., Finger, S., & Tomiyama, T., Eds.), Vol. 2, pp. 139-156. London: Chapman & Hall.
41. Sitharam, M., Oung, J., Zhou, Y., & Arbree, A. (2006). Geometric constraints within feature hierarchies. Computer-Aided Design 38(1), 22-38.
42. Stumptner, M., Friedrich, G., & Haselbock, A. (1998). Generative constraint-based configuration of large technical systems. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12(4), 307-320.
43. Suh, N.P. (1990). The Principles of Design. New York: Oxford University Press.
44. Thornton, A.C. (1994). Genetic algorithms versus simulated annealing: satisfaction of large sets of algebraic mechanical constraints. Artificial Intelligence in Design '94 (Gero, J.G., & Sudweeks, F., Eds.), pp. 384-398. New York: Kluwer Academic.
45. Thornton, A.C., & Johnson, A. (1996). CADET: a software support tool for constraint processes in embodiment design. Research in Engineering Design 8(1), 1-13.
46. Weispfenning, V. (1997). Quantifier elimination for real algebra - the quadratic case and beyond. Applicable Algebra in Engineering, Communication and Computing 8(1), 85-101.
47. Yan, X.T., & Sharpe, J.E.E. (1996). Reasoning and truth maintenance of causal structures in interdisciplinary product modelling and simulation. AI System Support for Conceptual Design: Proc. 1995 Lancaster Int. Workshop on Engineering Design (Sharpe, J.E.E., Ed.), pp. 405-425. London: Springer-Verlag.