Use of artificial neural networks for determining optimum thread forming speeds for thread forming fasteners
Abstract
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.
Keywords
Citation
Chumakov, R.E. and Nauk, K. (2005), "Use of artificial neural networks for determining optimum thread forming speeds for thread forming fasteners", Assembly Automation, Vol. 25 No. 2, pp. 135-139. https://doi.org/10.1108/01445150510590497
Publisher
:Emerald Group Publishing Limited
Copyright © 2005, Emerald Group Publishing Limited