2020
DOI: 10.1007/s11015-020-01046-0
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Influence of the Cross-Sectional Shape of Hot Semifinished Rolled Products on the Formation of the Plot of Specific Tension in Cold-Rolled Strips

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Cited by 4 publications
(5 citation statements)
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“…Flatness denoted as I is the relative extension difference between the center ribbon and edge ribbon, and the unit is IU. The expressions have been derived according to literature [26], and are shown in Equation (1) and Equation (2). L(y) and l(y) denote the length of the ribbon at the entry and at the exit of stand, respectively.…”
Section: Flatness Calculation Modelmentioning
confidence: 99%
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“…Flatness denoted as I is the relative extension difference between the center ribbon and edge ribbon, and the unit is IU. The expressions have been derived according to literature [26], and are shown in Equation (1) and Equation (2). L(y) and l(y) denote the length of the ribbon at the entry and at the exit of stand, respectively.…”
Section: Flatness Calculation Modelmentioning
confidence: 99%
“…Crown beyond an allowable range and poor flatness reduce the product value and adversely affect subsequent processing [1]. Flatness defects that may occur between the two stands have a detrimental effect on the stability of rolling and may even cause serious accidents such as breaking and piling-up of the steel strip during hot tandem rolling [2,3]. Affected by the roll deformation caused by the rolling force, the roll thermal contour, the roll wear contour and the strip entry crown, the crown of the strip often cannot reach the target value at the exit of the stand [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Further, after excluding the linear component and in accordance with the Walter−Shewhart procedure [26,27], we calculate the short-term standard deviation, the lower and upper bounds: The control chart for the first derivative is shown in Fig. 3.…”
Section: Materials Science Forum Vol 1052mentioning
confidence: 99%
“…The second stage is an iterative search for the "zero level". Using the least squares method, we find a parabolic approximation of the filtered thickness values and calculate a 95 % predictive interval [26][27].…”
Section: Materials Science and Metallurgical Technology IIImentioning
confidence: 99%
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