Inducing constraint activity in innovative design
- 27 February 1991
- journal article
- research article
- Published by Cambridge University Press (CUP) in Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Vol. 5 (1) , 47-61
- https://doi.org/10.1017/s0890060400002535
Abstract
In this paper, a methodology for inducing trends in a first principle reasoning system for design innovation is presented. Dimensional Variable Expansion is used in 1stPRINCE (FIRST PRINciple Computational Evaluator) to create additional design variables and introduce new prototypes. Trends are observed at each generation of the prototype and induction is used to predict optimal constraint activity at the limit of the iterative procedure. The inductive mechanism is applied to a constant-radius beam under flexural load and a tapered beam of varying radius and superior performance is derived. A circular wheel is created from a primitive-prototype consisting of a rectangular, spinning block that is optimized for minimum resistance to spinning. Although presented as a technique to perform innovative design, the inductive methodology can also be utilized as an AI approach to shape optimization.Keywords
This publication has 11 references indexed in Scilit:
- Theory of design: An optimization perspectiveMechanism and Machine Theory, 1990
- Applying design-dependent knowledge in structural engineering designArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1989
- A Generalization and Correction of the Welded Beam Optimal Design Problem Using Symbolic ComputationJournal of Mechanical Design, 1989
- TECHNIQUES FOR INTEGRATING QUALITATIVE REASONING AND SYMBOLIC COMPUTATION IN ENGINEERING OPTIMIZATIONEngineering Optimization, 1987
- Innovative design of mechanical structures from first principlesArtificial Intelligence for Engineering Design, Analysis and Manufacturing, 1987
- A modular approach for three-dimensional shape optimization of structuresAIAA Journal, 1987
- A Maximal Activity Principle for Eliminating Overconstrained Optimization CasesJournal of Mechanical Design, 1986
- Machine LearningPublished by Springer Nature ,1983
- Monotonicity in Goal and Geometric ProgrammingJournal of Mechanical Design, 1982
- Global Non-Iterative Design Optimization Using Monotonicity AnalysisJournal of Mechanical Design, 1979