منابع مشابه
A Cold Rolling Mill Model for Unwinding Diagnosis
A model is presented which describes the uncoiling process of a rolling mill in fault-less and in faulty situations. This model is implemented in the DYMOLA modelling and simulation environment. It is used for two purposes: first for the simulation of the unwinding process and second for model-based fault diagnosis. For the latter diagnostic task, a simplified model is derived. Results of the s...
متن کاملRolling mill simulator A new platform for testing, analysis and optimization of cold rolling mills
The cold rolling of flat metal products especially in tandem or multi-stand mills is a highly complex process where the product quality is influenced by various aspects. With the help of a hardware-in-the-loop simulator, the complete rolling process can be simulated and tested in real-time. This allows pre-commissioning and pre-optimizations before the actual commissioning work is done on the p...
متن کاملa new rolling pressure model for an actual reversing cold rolling strip mill
the forging model for cold rolling is one of rolling models that is used in rolling calculations. in this model,the final rolling pressure is an average value and it is not an accurate model.also by using this model,the firction hill curves are plotted due to the central point of the rolling bite length while frictional stresses intersect at the neutral point.in this study, a new model based on...
متن کاملDesign of a Fuzzy Feed-forward Controller for Monitor HAGC System of Cold Rolling Mill
In this study we propose a novel monitor hydraulic automatic gauge control (HAGC) system based on fuzzy feedforward controller. This is used in the development of cold rolling mill automation system to improve the quality of cold strip. According to features/ properties of entry steel strip like its average yield stress, width of strip, and desired exit thickness, this controller realizes the c...
متن کاملOnline Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill
We consider the problem of online prediction when it is uncertain what the best prediction model to use is. We develop a method called Dynamic Model Averaging (DMA) in which a state space model for the parameters of each model is combined with a Markov chain model for the correct model. This allows the "correct" model to vary over time. The state space and Markov chain models are both specified...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Japan Institute of Light Metals
سال: 2001
ISSN: 0451-5994,1880-8018
DOI: 10.2464/jilm.51.385