Toggle Main Menu Toggle Search

Open Access padlockePrints

The use of artificial neural networks to reduce welding distortion

Lookup NU author(s): Professor George Bruce, Dr Martyn Lightfoot

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

The paper reviews the effects of distortion, its causes, procedures for minimisation and the impact of design. If the distortion can be predicted with reasonable certainty (once the necessary procedures to minimise the effects have been put in place) then new opportunities are created. The use of robotics will be made much simpler and there will be considerable savings in time and cost for conventional processes as well. Results of research into a method of predicting distortion are presented. The method is intended to provide a tool which will allow designers and production engineers to take potential distortion into account prior to design completion. The ability in the longer term to visualise the potential effects of distortion on a computer screen will give designers an opportunity to evaluate both alternative structures and production procedures.


Publication metadata

Author(s): Bruce GJ, Lightfoot MP

Editor(s): Soares, G.G., Garbatov, Y., Fonseca, N.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 11th International Congress of the International Maritime Association of the Mediterranean (IMAM)

Year of Conference: 2005

Pages: 357-364

Publisher: Taylor & Francis

Library holdings: Search Newcastle University Library for this item

ISBN: 9780415390361


Share