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.

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