2012
DOI: 10.4028/www.scientific.net/amr.500.403
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Study on Surface Roughness and Friction during Hot Rolling of Stainless Steel 301

Abstract: Study on surface roughness and friction during hot rolling of stainless steel 301 AbstractA well-defined boundary condition is important for generating an accurate model for simulating metal forming process. It is important to characterize the features of the oxide scale in hot rolling of stainless steel strip. Short time oxidation tests in humid air with water vapor content of 7.0 vol. % were carried out using Gleeble 3500 thermo-mechanical simulator. The deformation, surface morphology of oxide scale, and th… Show more

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“…There are various methods used to detect roughness at the surface of the steel strip. Chang et al [19] have used a profilometer, which measures a surface's profile, and Wei et al [20] have used Hommel Tester T1000 wave to measure the surface roughness of the stainless steel strip. In this study, the roughness was measured with Focal-Spec's MicroProfiler MP9000 device [21] at an integrated rolling, annealing, and pickling line (RAP) in Outokumpu Stainless Oy, Tornio, Finland during 2016, with an accurate optical no-contact surface roughness measurement method based on LCI technology, which enables the laboratory-accurate on-line measurement of surface roughness during the production process.…”
Section: Data Collectionmentioning
confidence: 99%
“…There are various methods used to detect roughness at the surface of the steel strip. Chang et al [19] have used a profilometer, which measures a surface's profile, and Wei et al [20] have used Hommel Tester T1000 wave to measure the surface roughness of the stainless steel strip. In this study, the roughness was measured with Focal-Spec's MicroProfiler MP9000 device [21] at an integrated rolling, annealing, and pickling line (RAP) in Outokumpu Stainless Oy, Tornio, Finland during 2016, with an accurate optical no-contact surface roughness measurement method based on LCI technology, which enables the laboratory-accurate on-line measurement of surface roughness during the production process.…”
Section: Data Collectionmentioning
confidence: 99%