Abstract
The measurement of thermoelectric current is a new and effective method for inline wear detection in sheet metal forming. The measuring principle is based on the Seebeck effect, whose characteristic value, the Seebeck coefficient depends on the material composition. In the previous research of the authors, a boundary value of the thermoelectric value that separates the mild and severe wear was identified. Due to the large deviation of the Seebeck coefficient of the material used in sheet metal forming, it is worth discussing the influence of the Seebeck coefficient of the sheet metal material on the effectiveness and boundary value of the thermoelectric current for wear detection. In this paper, the measuring principle is first illustrated using an equation based on thermoelectricity. The Seebeck coefficients of the tools and sheet metals are then determined by a specifically designed device. At the same time, the wear tests for different materials are used to determine the boundary values for different tribological systems. Finally, the obtained Seebeck coefficient and boundary values are compared. From the results it can be concluded that the value of the measured Seebeck coefficients have a discernible effect on the boundary values, which provides a useful insight for inline wear diagnosis for practical applications.
Highlights
The increasing demand for light weight design has an impact on the development and manufacturing of sheet metal parts
Due to the large deviation of the Seebeck coefficient of the material used in sheet metal forming, it is worth discussing the influence of the Seebeck coefficient of the sheet metal material on the effectiveness and boundary value of the thermoelectric current for wear detection
The measured thermoelectric current is influenced by the contact temperature, which is determined by the extent of tool wear, and the Seebeck coefficient of both the tools and the sheet metal
Summary
The increasing demand for light weight design has an impact on the development and manufacturing of sheet metal parts. In the authors’ previous study, an inline method for wear detection through the measurement of thermoelectric current based on the Seebeck Effect was proposed [4] and applied in strip drawing test with different tool geometries [5]. With these approaches, the adhesion wear on cold work steel tools can be detected by thermoelectric current and the signal curve correlates well with the measured surface roughness of the tool described by the 3d surface roughness Sz. Influence of the sheet metal Seebeck coefficient on wear detection based on thermoelect. Last but not least the obtained Seebeck coefficients and the threshold values are compared
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