M J Hague, A Taleb-Bendiab, M J Brandish (auth.), John E. E.'s AI System Support for Conceptual Design: Proceedings of the PDF

By M J Hague, A Taleb-Bendiab, M J Brandish (auth.), John E. E. Sharpe (eds.)

ISBN-10: 1447114752

ISBN-13: 9781447114758

ISBN-10: 3540760008

ISBN-13: 9783540760009

It is famous that a few eighty five% of the assets essential to layout and produce to industry a product are dedicated by way of judgements taken within the first 10% of the layout job. This including the desire to lessen additional the time-to-market of top quality cutting edge items has elevated the necessity for laptop aid on the conceptual layout degree of the engineering layout procedure way of life. This court cases firmly specializes in the ongoing learn into new makes use of of man-made Intelligence (AI) through the conceptual layout technique. It exhibits how novel functions of AI will be built-in with features of strong modelling, simulation optimisation and a number of criterion determination- making. a selected emphasis is put on using AI equipment within the total layout of goods from significant Civil Engineering buildings to purchaser Electronics.

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Extra info for AI System Support for Conceptual Design: Proceedings of the 1995 Lancaster International Workshop on Engineering Design, 27–29 March 1995

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Then, the main characteristics of the elements are linked with the desired behaviour. At this stage, a process of matching the different solutions combining all the different principles is performed. This combinatorial process is developed recurrently at the level of parts, system and subsystem. The space of solutions can be defined by a combination of n elements, with the p parameters. As the combinatorial approach produced huge amount of data, the selection of possible alternatives is performed using a process of elimination, starting with criteria like physical impossibility, increasing gradually the constraints while the process of elimination is advancing.

FUTURE WORK Short Term :(i) The addition of a thesarus to widen the initial selection of design components, both by the fixed string prototype, and by the grammar based GA system. (ii) Implementation of other techniques for handling a variable solution size to the conceptual design task, eg messy genetic algorithms which use a variable length chromosome string7. (iii) Experimentation on realistic design problems to explore the strengths and weaknesses of grammar based chromosome approach. (iv) The application of a structured genetic algorithm (sGA) to handle different levels of abstraction, and to enable the system to work on several levels of abstraction.

Iii) Context Sensitive Grammars are more expressive than Context Free. type 2. Grammars. Gripper ::= Clamping Element + Securing Type + Executive Mechanism + Transport Mechanism + Actuator Clamping Element ::= Geometrical Features + Surface Properties + Construction Features + Kinematics of Movement Securing Type ::= Rigid Connection' Resilient Connection' Kinematic Pair Executive Mechanism ::= Pushes' Levers' Resilient Rods , Cables' Yokes' Inflatable Envelopes Transport Mechanism::= Reducer' Lever Mechanism' Collet Mechanism' Rack Mechanism' Cam Mechanism Reducer ::= Cylindrical' Conical' Worm' Wave' Differential Actuator ::= Drive' Springs I Own Weight Drive ::= Pueumatic , Hydraulic' Electric Fig 3.

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AI System Support for Conceptual Design: Proceedings of the 1995 Lancaster International Workshop on Engineering Design, 27–29 March 1995 by M J Hague, A Taleb-Bendiab, M J Brandish (auth.), John E. E. Sharpe (eds.)

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