Dynamic Estimation of Electrical Demand in Hot Rolling Mills
| Autor: | D Josue Rodriguez, G. Alonso Orcajo, Joaquin G. Norniella, R Diego Cifrian, Jose M. Cano, G Pablo Ardura, T Rocio Llera |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
High Energy Physics::Lattice Mechanical engineering 02 engineering and technology Carbon alloy Industrial and Manufacturing Engineering 020501 mining & metallurgy High Energy Physics::Theory 0202 electrical engineering electronic engineering information engineering Mill Torque Motor speed Electrical and Electronic Engineering Hot strip mill business.industry 020208 electrical & electronic engineering Metallurgy AC power Finishing mill Hot rolling mill 0205 materials engineering Control and Systems Engineering Filter (video) Power system harmonics Power quality Electrical demand Synchronous motor business |
| Zdroj: | IAS RUO. Repositorio Institucional de la Universidad de Oviedo instname |
| ISSN: | 1939-9367 0093-9994 |
| Popis: | This paper proposes a method capable of reproducing the particular operating conditions of a hot strip mill and predicting the evolution of the main electrical variables that are involved from both the characteristics of the steel to be milled and the specific features of the rolling mill. The method analyses the load torque and the motor speed evolution in the stands of the roughing and finishing mill drives from the steel to be milled. In this study three types of carbon alloy steel are considered, thus involving dissimilar hardness characteristics. The main stands of the mill, the power network and the filter banks have been modeled. The relationship between the grade of steel and both the electrical demand and various power quality parameters is discussed. The results can be used as a part of an expert system for the automatic estimation of the electrical demand in a hot rolling mill. |
| Databáze: | OpenAIRE |
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