Self-regulation during continuous rolling in broadband mills

Reeling Mechanism for Wire Rod Rolling Mills

Neural Network Control for Rolling Mills

Worldwide, steel and aluminum production and manufacturing is still one of the major basic industries with a huge amount of material and energy consumption. Hence, optimization of the various process control schemes which are involved can lead to signiicant savings. Artiicial Neural Networks are a new information processing technique which provides a novel approach to process control problems a...

A Neural-net Based Self-tuning Fuzzy Looper Control for Rolling Mills

Looper control is one of the challenging problems in rolling mills. The purpose of the paper is to propose an intelligent control method using fuzzy logic and neural network for improved performance of looper control over conventional loop control methods. The focus of the paper will be on the rule-tuning aspect of the proposed fuzzy looper control. Simulation reults will also be presented to v...

A learning fuzzy system for looper control in rolling mills

In this paper, several issues of looper control in rolling mills are discussed and a fuzzy logic control is proposed to address the enumerated issues. The proposed system incorporated fast tuning algorithms for both off-line and online learning of membership functions and singleton values. Also, it is relatively simple to design and implement. The effectiveness of the proposed system is verifie...

Rolling Upgrades for Continuous Services

With the advent of highly available systems, a new challenge has appeared in the form of the requirement for rolling upgrade support. A rolling upgrade is an upgrade of a software version, performed without a noticeable down-time or other disruption of service. Highly available systems were originally conceived to cope with hardware and software failures. Upgrading the software, while the same ...