Name
Abstract | ||
|---|---|---|
Model-based process control is widely used in metal working. Often, simplified real-time capable numerical models replace or support measurement. In this work, we investigate the simulation of temperature in hot rolling rolls based on a 3-D model of a roll which is fast enough to act as soft sensor during operation. The involved discretization of the heat equation in cylindrical space is done via simple finite volumes and propagation in time is done via a forward Euler method. This allows a parallel and efficient implementation for GPGPUs. We validate our code against analytic solutions and measurements, provide a detailed performance analysis, and show simulation results for realistic rolls. (C) 2014 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jocs.2014.04.003 | Journal of Computational Science |
Keywords | Field | DocType |
Rolling mill,GPGPU,Performance engineering | Discretization,Mathematical optimization,Performance engineering,Euler method,Simulation,Computer science,Soft sensor,Cylinder,Mechanical engineering,Heat equation,Process control,Real-time simulation | Journal |
Volume | Issue | ISSN |
5 | 5 | 1877-7503 |
Citations | PageRank | References |
1 | 0.63 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markus Stürmer | 1 | 1 | 0.63 |
| Johannes Dagner | 2 | 1 | 0.63 |
| Paul Manstetten | 3 | 1 | 0.63 |
| Harald Köstler | 4 | 1 | 0.63 |