Effects of cold rolling process variables on final surface quality of stainless steel thin strip

Mancini, Edoardo; Campana, Francesca; Sasso, M.; Newaz, Golam

doi:10.1007/s00170-011-3698-3

Cited by 24 publications

(5 citation statements)

References 13 publications

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“…Various process parameters, such as rolling friction, thickness reduction, and initial grain size, exist. [ 65 ] However, due to the complexity of the process, optimizing these parameters through experimentation is difficult. The finite‐element analysis (FEA) is the most popular and preferred method for parameter optimization, as it supports a multiscale analysis combined with other microstructure evolution models, such as the MC, CA, and PF model.…”

Section: Modeling the Rolling Processmentioning

confidence: 99%

“…In contrast to the hot rolling process, friction between the roller and workpiece is significant as severe heat generation occurs during the cold rolling process, affecting the mechanical properties and microstructure evolution. [ 65 ] Therefore, the amount of change in workpiece temperature varies dependently on the lubricant used.…”

Section: Modeling the Rolling Processmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Simulation of Steel Rolling with Microstructure Evolution: An Overview

Hong

Han

et al. 2022

steel research int.

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Section: Modeling the Rolling Processmentioning

confidence: 99%

Section: Modeling the Rolling Processmentioning

confidence: 99%

Modeling and Simulation of Steel Rolling with Microstructure Evolution: An Overview

Hong

Han

et al. 2022

steel research int.

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“…The surface topography of steel sheets partly derives from the work rolls in steel strip cold rolling. Accordingly, the surface topography of work rolls plays an important role in the generation of the surface topography of steel sheets (Kijima and Bay, 2008;Mancini et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Research on surface topography wear of textured work roll in cold rolling

Zhang

et al. 2015

Industrial Lubrication and Tribology

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Purpose -The purpose of this paper is to build a transient wear prediction model of surface topography of textured work roll, and then to investigate the wear performance of different original textured surfaces. The surface topography of steel sheets is one of the most important surface quality indexes, which is inherited from the textured work rolls in cold rolling. Surface topography of work roll is obviously changing in the cold rolling process. However, surface topography is difficult to measure in the industry production process. Design/methodology/approach -This paper presents a numerical approach to simulate the wear process based on the mixed lubrication model of cold rolling interface developed by Wilson and Sheu (Sheu and Wilson, 1994). It is assumed that wear takes place at locations where the surfaces are in direct contact, and the volume is removed by an abrasive particle which is an abstract concept based on the wear phenomenon of textured work roll. At each simulation cycle, the distribution of the contact pressure is calculated by the lubrication model. The material is removed by an abstract abrasive particle and the surface topography is modified correspondingly. The renewed surface topography is then used for the next cycle. Findings -Through comparative analysis, it can be found that the simulation results possess similar statistical characteristic with the measured data. A set of roughness parameters such as the amplitude, spacing and frequency-domain characteristics are introduced to analyze the wear performance of different textured surfaces. Numerical examples show that the surface topography has a significant effect on the wear performance of work roll in cold rolling. Originality/value -The proposed model can accurately predict the wear process of the surface topography in the cold rolling process, which provides the foundation for optimization of original surface topography of textured work roll. The model can also be considered as a tool applicable for research on control of the surface topography of steel strip in the cold rolling process.

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“…Present study on machined surface topography [2,3], only consider tool vibration or wear certain factor affecting machined surface topography [4], found that amplitude is the most sensitive factor affects surface residual height [5], with blade wear contour become not clear gradually, surface residual height increases [6,7], face milling process is chip breaking cutting, cutting process is accompanied by vibration and wear, machined surface topography is characterized by the behavior of cutting tool on machined surface mapping, considering the influence of machined surface topography under the two sides jointly will have important significance.…”

Section: Introductionmentioning

confidence: 99%

Influence Characteristics of Tool Vibration and Wear on Machined Surface Topography in High-Speed Milling

Jiang

Cao

Zhang

et al. 2014

MSF

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Existing research on machined surface topography, only consider its response to vibration or wear certain factors, both vibration and wear impact on machined surface topography exist ambiguity and uncertainty, it cannot solve the design conflicts of machined surface topography. For this, this paper analyzes blade installation error, tool wear, vibration and deformation to reveal effects of tip space trajectory, build a three-dimensional model of machined surface topography in simulation, extract its characteristic parameters, by simulation of different amplitudes and wear, found that axis amplitude is a key factor affecting surface residual height, flank wear affects contour distribution distance significantly, by specimen milling experiments, use vibration measuring instrument and ultra-depth microscopy to obtain vibration, wear characteristics and machined surface topography parameters under different cutting parameters, then use the gray system theory to get correlation analysis of the test data, results showed that the influence of tool wear on machined surface topography is prominent than tool vibration.

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Effects of cold rolling process variables on final surface quality of stainless steel thin strip

Cited by 24 publications

References 13 publications

Modeling and Simulation of Steel Rolling with Microstructure Evolution: An Overview

Modeling and Simulation of Steel Rolling with Microstructure Evolution: An Overview

Research on surface topography wear of textured work roll in cold rolling

Influence Characteristics of Tool Vibration and Wear on Machined Surface Topography in High-Speed Milling

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