A generic model for surface texture development, wear and roughness transfer in skin pass rolling

Wear ◽  
2015 ◽  
Vol 328-329 ◽  
pp. 167-176 ◽  
Author(s):  
D.J. Wentink ◽  
D. Matthews ◽  
N.M. Appelman ◽  
E.M. Toose
2016 ◽  
Vol 854 ◽  
pp. 93-98
Author(s):  
Kai Köhler ◽  
Norbert Kwiaton ◽  
Martin Bretschneider

Applying a specific roughness on steel sheets, to ensure paintability and sufficient lubrication, is a crucial point for the metal forming processes. Due to the strength of high manganese HSD® steels (X70MnAlSi 15-2.5-2.5), special actions are necessary to obtain the required roughness. At Salzgitter Mannesmann Forschung GmbH skin-pass rolling experiments on high manganese HSD® steels with different PRETEX® textured work-rolls were performed to investigate the influence of roll-surface-texture and skin-pass rolling force on the roughness transfer. The roughness and texture parameters of the steel sheets and roll surfaces were determined using optical confocal microscopy measurements. It is clearly shown that the work-roll surface texture has a major influence on the roughness transfer from work-rolls to steel sheet surfaces.


2021 ◽  
Vol 198 ◽  
pp. 106358 ◽  
Author(s):  
Chuhan Wu ◽  
Liangchi Zhang ◽  
Peilei Qu ◽  
Shanqing Li ◽  
Zhenglian Jiang

2006 ◽  
Vol 100 (10) ◽  
pp. 104701 ◽  
Author(s):  
V. Oliveira ◽  
M. Sivakumar ◽  
R. Vilar

Author(s):  
Chuhan Wu ◽  
Liangchi Zhang ◽  
Peilei Qu ◽  
Shanqing Li ◽  
Zhenglian Jiang ◽  
...  

Abstract This article investigates the surface texture transfer mechanisms in lubricated skin pass rolling of metal strips with three-dimensional rough surfaces of both regular patterns and random surface asperity distributions. Two important steps have been completed. The first is the successful establishment of an efficient numerical method for predicting the 3D texture transfer. It was identified that the new method can be used reliably with the key complex factors coupled in skin pass rolling, such as the effects of lubricant and surface roughness. The second is the exploration of the texture transfer mechanisms with the aid of this new method. In addition, the effects of hydrodynamic pressure on the texture transfer efficiency were comprehensively investigated by a dynamic explicit finite element analysis. It was found that lubrication plays a critical role in determining the surface texture transfer. The texture transfer ratio decreases with increasing the lubricant viscosity. A larger pressure coefficient brings about a lower texture transfer ratio, but a larger reduction ratio leads to a greater texture transfer.


Wear ◽  
2021 ◽  
pp. 203764
Author(s):  
Chuhan Wu ◽  
Liangchi Zhang ◽  
Peilei Qu ◽  
Shanqing Li ◽  
Zhenglian Jiang ◽  
...  

Wear ◽  
2019 ◽  
Vol 426-427 ◽  
pp. 1246-1264 ◽  
Author(s):  
Chuhan Wu ◽  
Liangchi Zhang ◽  
Peilei Qu ◽  
Shanqing Li ◽  
Zhenglian Jiang

1994 ◽  
Vol 91 (9) ◽  
pp. 1280-1280
Author(s):  
F. Onno ◽  
P. Gratacos
Keyword(s):  

2003 ◽  
Vol 42 (03) ◽  
pp. 203-211 ◽  
Author(s):  
J. L. G. Dietz ◽  
A. Hasman ◽  
P. F. de Vries Robbé ◽  
H. J. Tange

Summary Objectives: Many shared-care projects feel the need for electronic patient-record (EPR) systems. In absence of practical experiences from paper record keeping, a theoretical model is the only reference for the design of these systems. In this article, we review existing models of individual clinical practice and integrate their useful elements. We then present a generic model of clinical practice that is applicable to both individual and collaborative clinical practice. Methods: We followed the principles of the conversation-for-action theory and the DEMO method. According to these principles, information can only be generated by a conversation between two actors. An actor is a role that can be played by one or more human subjects, so the model does not distinguish between inter-individual and intra-individual conversations. Results: Clinical practice has been divided into four actors: service provider, problem solver, coordinator, and worker. Each actor represents a level of clinical responsibility. Any information in the patient record is the result of a conversation between two of these actors. Connecting different conversations to one another can create a process view with meta-information about the rationale of clinical practice. Such process view can be implemented as an extension to the EPR. Conclusions: The model has the potential to cover all professional activities, but needs to be further validated. The model can serve as a theoretical basis for the design of EPR-systems for shared care, but a successful EPR-system needs more than just a theoretical model.


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