High Precision Thickness Control in a Cold Rolling Mill using a Non-Linear Roll Stand Deflection Model

Schulte, Christopher; Li, Xinyang; Abel, Dirk

doi:10.23919/ecc54610.2021.9655117

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…A Matlab simulation framework is implemented based on process models validated in previous work. In particular, a model for predicting the rolling force according to Bland & Ford (1948) [24], a function for modeling the progressive roll stand deflection [25], and a heuristic function describing the imprinting of the rough work rolls are used [23]. Moreover, using the strip tension and tandem rolling as actuators, the two aforementioned concepts for roughness control in skin-pass rolling are combined in order to obtain the largest possible variation range of roughness and friction coefficient.…”

Section: Fig 1 Stribeck Curve With the Lubricant's Dynamic Viscosity ...mentioning

confidence: 99%

Modeling and control of tribological properties for subsequent forming process in skin-pass rolling

2023

Materials Research Proceedings

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Abstract. The surface roughness including average roughness (Ra) and peak number (RPc) after skin-pass rolling influences the strip’s product properties, such as its friction coefficient in the subsequent sheet metal forming process. In order to both ensure an optimal tribological behavior and fulfill the process requirements of the following forming steps, predefined roughness combinations of Ra and RPc should be attained in skin-pass rolling. In this work, a preliminary friction model relating friction and combination of Ra and RPc is determined using flat die drawing tests for DC04 steel. The model is validated by deep drawing tests and embedded in a roughness control system for skin-pass rolling. To show a proof of concept for independent control of tribological properties from strip thickness, a simulation framework is implemented in Matlab/Simulink. The results indicate that the friction coefficient can be controlled between 0.0924 and 0.1003 for the considered test scenario (which is) characterized by a normal pressure of 75kN and a relative speed of 10mm/s.

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Section: Fig 1 Stribeck Curve With the Lubricant's Dynamic Viscosity ...mentioning

confidence: 99%

Modeling and control of tribological properties for subsequent forming process in skin-pass rolling

2023

Materials Research Proceedings

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Development of an automated control system for the coiler mandrel drive

Tsukanov,

Litsin

2024

Metallurgist

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Softsensors: key component of property control in forming technology

Homberg,

Arian,

Arne

et al. 2023

Prod. Eng. Res. Devel.

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The constantly increasing challenges of production technology for the economic and resource-saving production of metallic workpieces require, among other things, the optimisation of existing processes. Forming technology, which is confronted with new challenges regarding the quality of the workpieces, must also organise the individual processes more efficiently and at the same time more reliably in order to be able to guarantee good workpiece quality and at the same time to be able to produce economically. One way to meet these challenges is to carry out the forming processes in closed-loop control systems using softsensors. Despite the many potential applications of softsensors in the field of forming technology, there is still no definition of the term softsensor. This publication therefore proposes a definition of the softsensor based on the definition of a sensor and the distinction from the observer, which on the one hand is intended to stimulate scientific discourse and on the other hand is also intended to form the basis for further scientific work. Based on this definition, a wide variety of highly topical application examples of various softsensors in the field of forming technology are given.

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High Precision Thickness Control in a Cold Rolling Mill using a Non-Linear Roll Stand Deflection Model

Cited by 4 publications

References 17 publications

Modeling and control of tribological properties for subsequent forming process in skin-pass rolling

Modeling and control of tribological properties for subsequent forming process in skin-pass rolling

Development of an automated control system for the coiler mandrel drive

Softsensors: key component of property control in forming technology

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