OR

Browse By

Nonlinear Modelling, Analysis And Prediction Of Optimal Conditions For Cold Roll Forming (2005–2009)

Abstract:
This project investigates fundamental analytical and experimental aspects of the highly nonlinear process of cold roll forming of flat steel strip to shaped product in order to gain predictive understanding and determine optimal process conditions. The project aims to develop an innovative software system that will permit operators to balance and optimize mill productivity, energy consumption, mill downtime, and product change over times and facilitate the development of new products
Grant type:
ARC Linkage Projects
Researchers:

  • Professor Paul Meehan

    Professor
    School of Mechanical and Mining Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council