Today, design and operation of manufacturing processes heavily rely on the use of models,
some analytical, empirical or numerical ie finite element simulations. Models do reflect …

Industries today need to stay ahead in competition by servicing and satisfying customer's
needs. Quality of the produced products to match as per customer demands is the key goal …

Steel production processes are renowned for being energy and material demanding.
Moreover, due to organizational and technological restrictions in flow production processes …

Based on a rolling mill case study, this paper discusses how data mining techniques and
intelligent machine-to-machine telematics could be used to predict internal quality issues of …

A statistical approach to defect detection and discrimination has been applied to the case of
hot rolled steel. The probability distribution of pixel intensities has been estimated from a …

The subject of the work was to design and implement classification model for various kinds
of mill scales recognition at typical hot rolling mill (HRM). Input data were measured by the …

The hot strip rolling (HSR) process typically depends on setting of its various process
parameters. Controlling these parameters to obtain optimal response is always a critical and …

In this competitive era, manufacturing companies have to focus on the quality of the
produced products. The quality of the product produced is affected by many influential …

Scale is highly detrimental to the surface quality of tinplate products and this problem is
created during the hot rolling process. In this paper, a statistical analysis is carried out to …

Quality of the steel coil manufactured in a steel plant is influenced by several parameters
during the manufacturing process. Coiling temperature deviation defect is one of the major …