A semi-analytical model for inverse identification of cyclic material data from measured forces during roller levelling
A semi-analytical model for inverse identification of cyclic material data from measured forces during roller levelling
复制标题
一种半解析模型,用于根据滚轮矫直过程中测得的力反演循环材料数据
DOI:
10.1016/j.promfg.2019.02.157
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
G. Hirt
中科院分区:
文献类型:
--
作者:
M. Grüber;G. Hirt
The process of roller levelling is essential to ensure flatness of sheet metals and to reduce residual stresses within the material. Besides process parameters like machine geometry and roll positions, the process is sensitive to variations of material properties. In order to detect variations of the material properties, an inverse identification of material parameters from measured process data is desirable. Therefore, a semi-analytical levelling model based on bending theory that is capable to describe material behavior under low cyclic loading is introduced. This model calculates the levelling forces depending on given material data. Employing the model within an optimization loop, the model allows for an inverse determination of material data during levelling by comparing calculated and measured levelling forces. To validate the model, accompanying finite element (FE) simulations, levelling experiments as well as cyclic bending tests are performed. According to the results, the semi-analytical model is capable of calculating levelling forces in good agreement with FE results and much lower computation times. Furthermore, material data obtained directly from levelling experiments are in the same range as data determined from cyclic bending tests.