Gray-box soft sensors in process industry: Current practice, and future prospects in era of big data

I Ahmad, A Ayub, M Kano, II Cheema - Processes, 2020 - mdpi.com
Virtual sensors, or soft sensors, have greatly contributed to the evolution of the sensing
systems in industry. The soft sensors are process models having three fundamental …

Modelling and optimization of process parameters during grooved hot rolling of SAE 1020 steel

G Singh, PK Singh - Materials and Manufacturing Processes, 2023 - Taylor & Francis
The rolled SAE 1020 steel bars are widely used for production of mechanical components,
such as, gears, spindles, camshafts, axles, fasteners, and gudgeon pins etc. Steel industries …

Effect of process parameters on performance of grooved hot rolling of SAE 4340 steel bars

G Singh, PK Singh - Materials and Manufacturing Processes, 2023 - Taylor & Francis
ABSTRACT SAE 4340 alloy steel is used in structural parts, forging industry, gears and
shafts used for power transmission and landing gears of aircraft. Basic production process of …

Proficiencies of different fuzzy inference systems in predicting the production performance of broiler chickens

BC Amaral, M Bahuti, TY Junior, LHP Abreu… - … and Electronics in …, 2023 - Elsevier
Animal farming is a complex biological system because the responses of animal
performance are nonlinear. In addition, thermal variables and management practices …

Finishing mill strip gage setup and control by interval type-1 non-singleton type-2 fuzzy logic systems

GM Méndez, O Castillo, R Colás, H Moreno - Applied Soft Computing, 2014 - Elsevier
The setup and control of the finishing mill roll gap positions required to achieve the desired
strip head thickness as measured by the finish mill exit X-ray gauge sensor is made by an …

Neural, fuzzy and grey-box modelling for entry temperature prediction in a hot strip mill

JA Barrios, M Torres-Alvarado, A Cavazos - Expert systems with …, 2012 - Elsevier
In hot strip mills, initial controller set points have to be calculated before the steel bar enters
the mill. Calculations rely on the good knowledge of rolling variables. Measurements are …

[PDF][PDF] Optimizing turning operation of St37 steel using grey relational analysis

Nowadays, in order to reach minimum production cost in machining operations, various
OPTIMIZATION methods have been proposed. Since TURNING operation has different …

Fuzzy C-means rule generation for fuzzy entry temperature prediction in a hot strip mill

JA Barrios, C Villanueva, A Cavazos… - Journal of Iron and Steel …, 2016 - Springer
Variable estimation for finishing mill set-up in hot rolling is greatly affected by measurement
uncertainties, variations in the incoming bar conditions and product changes. The fuzzy C …

Neural and Neural Gray-Box modeling for entry temperature prediction in a hot strip mill

JA Barrios, M Torres-Alvarado, A Cavazos… - Journal of materials …, 2011 - Springer
In hot strip mills, initial controller set points have to be calculated before the steel bar enters
the mill. Calculations rely on the good knowledge of rolling variables. Measurements are …

A study on non-isothermal static recrystallization during hot rolling of carbon steels

M Meshkat, S Serajzadeh - Materials and manufacturing processes, 2013 - Taylor & Francis
In this article, the effects of hot rolling parameters on static recrystallization, mechanical
properties, and final microstructures of a low carbon steel have been investigated. A …