A new model for the prediction of the Dog-bone shape in steel mills
SCIE
SCOPUS
- Title
- A new model for the prediction of the Dog-bone shape in steel mills
- Authors
- Duckjoong Yun; Donghun Lee; Jaeboo Kim; Hwang, S
- Date Issued
- 2012-07
- Publisher
- isij
- Abstract
- Precision control of the width of slabs, plates and strips, is vital for product quality and production economy in steel mills. A common practice in the production line is to perform vertical rolling and reduce the width in the roughing mill. However, the formation of so called 'dog-bone' at the edge of the slab would affect the final width after horizontal rolling that follows. Therefore, it is essential to predict and control the dog-bone shape. In this paper we present a new model for the prediction of the dog-bone shape during vertical rolling in roughing mills. The model is developed on the basis of the minimum energy principle for a rigid-plastic material and a three-dimensional admissible velocity field. The predictions accuracy of the proposed model is examined via comparison with predictions from finite element simulation and also with experimental data.
- Keywords
- vertical rolling; finite element method; dog-bone shape; minimum energy principle; admissible velocity field
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/15744
- DOI
- 10.2355/isijinternational.52.1109
- ISSN
- 0915-1559
- Article Type
- Article
- Citation
- , ISIJ International, vol. 52, no. 6, page. 1109 - 1117, 2012-07
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.