ISSN:
0144-5154
Source:
Emerald Fulltext Archive Database 1994-2005
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Purpose - Develops a neural network based system for optimum assembly speeds using thread-forming fasteners. Design/methodology/approach - Uses a three layer neural network to optimise thread forming speeds based on thread diameter and pitch and the total number of thread coils. Findings - The method demonstrates savings in energy and reduction in torque values of 20-30 per cent. Research limitations/implications - Provides a method that works even when less experimental data are available. Practical implications - The method should provide a higher quality and reliability and allow thread-forming fasteners to be used in new application areas. Originality/value - Provides an efficient and less labour intensive method for insertion speed optimisation.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1108/01445150510590497
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