Abstract
The uncertainties of various parameters, including casting temperature, rolling velocity and roll gap are investigated in twin-roll continuous strip casting process for S304 stainless steel. A sample-based stochastic model based on Latin hypercube sampling is established to evaluate the influence of various uncertain parameters on the height of Kiss Point and the cast-rolling force. A polynomial mathematical model combined with numerical simulation is built with full factorial design approach. The convergence of variance is used to represent the variability of the input parameters, and Inter Quartile Range (IQR) is adopted to qualify the uncertainty of output parameters. The IQR analysis shows that casting temperature is the most dominant factor among all output parameters including roll gap and rolling velocity.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
