| Autor: |
Lebrún, Carlos Arturo Vega, Castañeda, Rumualdo Servin, Ortega, Genoveva Rosano, Lopez, Juan Manuel, Valdéz, José Luis Cendejas, Medina, Heberto Ferreira |
| Zdroj: |
International Journal of Mathematical Modelling and Numerical Optimisation; January 2013, Vol. 4 Issue: 1 p56-70, 15p |
| Abstrakt: |
Manufacturing line core mills in steel production for hot strip rolling shape steel and provide its characteristic sheet properties. A tandem mill is one of these configurations which restricts the strip thickness and removes the surface layer or scale. It is feasible to implement a mathematical model to enable prediction of the used backup roll behaviour during this production line phase. This article consists of the evaluation of the main variables for wear during hot strip rolling, where the backup rolls receive the primary loads, and establishes a mathematical model to enable prediction of its wear behaviour from changes in these variable values along with an initial experimental validation for the generated model. This validated model allows the prediction of information which is needed for making decisions about the manufacturing and business process. This can improve production work continuity and lower maintenance costs by guiding the decisions on preventive maintenance, roll stand rotations, and replacement to prevent failures which can affect production quality and throughput. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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