Exploration and innovation in design: towards a computational model
Exploration and innovation in design: towards a computational model
Risa/Asir—a computer algebra system
ISSAC '92 Papers from the international symposium on Symbolic and algebraic computation
A collaborative parametric design agent
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Case-based reasoning
Case studies on ontology for the knowledge intensive engineering framework
Proceedings of the IFIP TC5/WG5.2 international conference on Knowledge intensive CAD volume 2
FDL: A Constraint Based Object Oriented Language for Functional Design
Proceedings of the IFIP TC5 / WG5.3 Eight International PROLAMAT Conference on Human Aspects in Computer Integrated Manufacturing
Interactive constraint-aided conceptual design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Exploring decisions' influence on life-cycle performance to aid “design for Multi-X”
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Generative constraint-based configuration of large technical systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Constraint solving and preference activation for interactive design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Application of Gröbner bases and quantifier elimination for insightful engineering design
Mathematics and Computers in Simulation - Special issue: Applications of computer algebra in science, engineering, simulation and special software
Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3/e (Undergraduate Texts in Mathematics)
A C-tree decomposition algorithm for 2D and 3D geometric constraint solving
Computer-Aided Design
Geometric constraints within feature hierarchies
Computer-Aided Design
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The problem investigated in this research is that engineering design decision making can be complicated and made difficult by highly coupled design parameters and the vast number of design parameters. This complication often hinders the full exploration of a design solution space in order to generate optimal design solution. These hindrances result in inferior or unfit design solutions generated for a given design problem due to a lack of understanding of both the problem and the solution space. This research introduces a computational framework of a new algebraic constraint-based design approach aimed at providing a deeper understanding of the design problem and enabling the designers to gain insights to the dynamic solution space and the problem. This will enable designers to make informed decisions based on the insights derived from parameter relationships extracted. This paper also describes an enhanced understanding of an engineering design process as a constraint centered design. It argues that with more effort and appreciation of the benefits derived from this constraint-based design approach, engineering design can be advanced significantly by first generating a more quantitative product design specification and then using these quantitative statements as the basis for constraint-based rigorous design. The approach has been investigated in the context of whole product life-cycle design and multidisciplinary design, aiming to derive a generic constraint-based design approach that can cope with life-cycle design and different engineering disciplines. A prototype system has been implemented based on a constraint-based system architecture. The paper gives details of the constraint-based design process through illustrating a worked real design example. The successful application of the approach in two highly coupled engineering design problems and the evaluation undertaken by a group of experienced designers show that the approach does provide the designers with insights for better exploration, enabled by the algebraic constraint solver. The approach thus provides a significant step towards fuller scale constraint-based scientific design.