Investigation, modelling and control of the influence of the process route on steel strip technological parameters and coating appearance after hot dip galvanising (Imgalva)
In this project, methods were developed for the prediction of quality-relevant product properties for hot dip galvanised material. Information concerning product properties to expect was gained during the hot dip galvanising process and preceding production steps. These predictions were based on operational variables of the process and extensive measurements, for instance by the HACOM system or LUS (laser ultrasonic) and surface inspection systems (SIS or SIAS). The models found and the developed applications shall be used for open-loop quality control. That means that the deviation between predicted and required properties is used to inform production and quality staff about deviations of product properties and to adjust process parameters if possible. The examined aspects of relevant product properties concern the prediction of technological parameters and the coating appearance of galvanised strips. They are founded on data-based and physical models. Operators' knowledge has been utilised as much as possible. To obtain improvement of the product quality of galvanised steel strip, the following main tasks were executed: - investigations into measurement systems for technological properties of galvanised strip, like HACOM and LUS, for continuous operation; - improvements of physical modelling of material structure evolution; - concepts and applications for product tracking and tracing to connect information from different sources for analysis and modelling; - application of data-based techniques for analysis and modelling of technological parameters, both length related and coil-wise; - modelling of the zinc coating appearance; - integration of methods and models into a framework for monitoring and open-loop control.
Bibliographic Reference: EUR 23919 EN (2009), 110 pp. Euro: 20
Availability: Katalogue Number: KI-NA-23919-EN-S The paper version can be ordered online and the PDF version downloaded at: http://dx.doi.org/10.2777/25232
ISBN: ISBN: 978-92-79-12481-5
Record Number: 201010084 / Last updated on: 2010-01-22
Original language: en
Available languages: en