By M J Hague, A Taleb-Bendiab, M J Brandish (auth.), John E. E. Sharpe (eds.)
It is famous that a few eighty five% of the assets essential to layout and produce to marketplace a product are devoted via judgements taken within the first 10% of the layout task. This including the desire to decrease additional the time-to-market of top quality leading edge items has elevated the necessity for laptop help on the conceptual layout level of the engineering layout strategy life style. This complaints firmly makes a speciality of the ongoing learn into new makes use of of man-made Intelligence (AI) through the conceptual layout approach. It exhibits how novel purposes of AI might be built-in with points of sturdy 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 client 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
There are two ways to map the space of solutions using DFA: • Reduce the number of parts gradually, identifying the geometric characteristic for possible configurations. • Minimise the fitness function (cost and assembly time) and try to find those solutions that match these major constraints. Previous experiences, reported by Boothroyd [33, 35], indicates that in many cases, the configuration of a system with the maximum assembly efficiency for assembly violates the functional 0 manufacturing restrictions.
The technique is documented clearly in manuals and software. Different improvements have been reported over the years. As well, it has proved to be very popular and successful in many cases . One of the advantages of the technique is the code used to classify different parts. A number is assigned according with geometric characteristics of the part. The calculations of the time for inserting and handling the part are defined using this code. The codification system allows to make a comparison with a search in a catalogue.
1991), "Genetic Algorithms as a Computational Theory of Conceptual Design", In Rzevski G. A. (Eds) "Applications of Artificial Intelligence in Engineering", Elsevier Science Publishing 7. , Karguta H. & Harik G. (1993), "Rapid, accurate optimization of difficult problems using fast messy genetic algorithms", Proc. of the Fifth International Conference on Genetic Algorithms, pp56-64, Morgan Kaufman Publishers 8. Grierson D. (1994), "Conceptual Design using Emergent Computing Techniques", NATO Advanced Research Workshop, Nafplio, Greece, August 25-27,1994 9.
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.)