Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
794485 | Journal of Materials Processing Technology | 2006 | 4 Pages |
Abstract
Cold roll-forming is a highly efficient and economical method for the production of sheet metal products, compared to rival processes. It has a major difficulty, however, because it frequently experiences quality problems such as longitudinal curvature. The tool design method is largely subjective and often involves a trial and error procedure where rolls are tested in the workshop. This paper develops a technique using an artificial neural network to assist in the design of roll-forming tools.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
A. Downes, P. Hartley,