Improvement in Rolling Yield at Blooming 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 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...

assessment of indoor airborne pollutants of beam rolling mills factory

air pollutants from iron and steel making operations have historically been an environmental concern. the factory located at ahwaz, iran, has two production lines namely, 630 and 650, which produce iron parallel edge. the objective of the study is to determine indoor respiratory particulate matter (rpm) and feo concentrations and their comparison with niosh standards. this is a cross–sectiona...

Rolling 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...