Effect of the Leveling Conditions on Residual Stress Evolution of Hot Rolled High Strength Steels for Cold Forming

Park, Keecheol; Oh, Kyungsuk

doi:10.1088/1742-6596/896/1/012117

Cited by 2 publications

(1 citation statement)

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“…This technique provided the best fit in a finite element analysis of bend-ing with the experimentally derived moment curvature relation. Park [14] and Liu [15] developed a numerical algorithm for analyzing the effect of the leveling conditions on the residual stress. With the reported methods, one was able to implement the effect of plastic deformation in leveling, tension, work roll bending, and the initial state of the sheet (residual stress and curl distribution).…”

Section: Introductionmentioning

confidence: 99%

Regression Approach to a Novel Lateral Flatness Leveling System for Smart Manufacturing

Tsai

Chang

2021

Applied Sciences

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Sheet metal coils are widely used in the steel, automotive, and electronics industries. Many of these coils are processed through metal stamping or laser cutting to form different types of shapes. Sheet metal coil leveling is an essential procedure before any metal forming process. In practice, this leveling procedure is now executed by operators and primarily relies on their experience, resulting in many trials and errors before settling on the correct machine parameters. In smart manufacturing, it is required to digitize the machine’s parameters to achieve such a leveling process. Although smart manufacturing has been adopted in the manufacturing industry in recent years, it has not been implemented in steel leveling. In this paper, a novel leveling method for flatness leveling is proposed and validated with data collected by flatness sensors for measuring each roll adjustment position, which is later processed through the multi-regression method. The regression results and experienced machine operator results are compared. From this research, not only can the experience of the machine operators be digitized, but the results also indicate the feasibility of the proposed method to offer more efficient and accurate machine settings for metal leveling operations.

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Section: Introductionmentioning

confidence: 99%

Regression Approach to a Novel Lateral Flatness Leveling System for Smart Manufacturing

Tsai

Chang

2021

Applied Sciences

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The Selection of Leveler Parameters Using FEM Simulation

Mróz,

Szota,

Garstka

et al. 2023

Materials

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The aim of this research was to select parameters for the roll pre-leveler to provide sheet metal waviness reduction after unwinding from the coil. Straightening parameters were selected based on the results of numerical simulations with the use of an FEM-based computer program. The material used for research was a hot-rolled sheet metal of grade S235JR + AR with a thickness of 3 mm and width of 1500 mm after unwinding from the coil. A mathematical model was developed to determine straightening roll arrangements in the pre-leveler. It enabled roll arrangement selection and a straightening scheme to be elaborated. The model’s innovative feature was conducting straightening numerical simulations for the real sheet metal geometric models obtained as a result of 3D laser scanning, which increased the accuracy of the numerical calculations.

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Effect of the Leveling Conditions on Residual Stress Evolution of Hot Rolled High Strength Steels for Cold Forming

Cited by 2 publications

References 1 publication

Regression Approach to a Novel Lateral Flatness Leveling System for Smart Manufacturing

Regression Approach to a Novel Lateral Flatness Leveling System for Smart Manufacturing

The Selection of Leveler Parameters Using FEM Simulation

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