2020
DOI: 10.1016/j.procir.2020.02.076
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An approach for a reliable detection of grinding burn using the Barkhausen noise multi-parameter analysis

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Cited by 22 publications
(19 citation statements)
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“…Thus, the selective application of active and passive Barkhausen noise can help to identify surface characteristics under different machining conditions. Nevertheless, it remains challenging to reliably identify different levels of thermal workpiece damage, e.g., shift of residual stresses, light tempering, strong tempering and rehardening, due to the multiple mechanical and microstructural parameters, influencing the Barkhausen noise [42]. Hence the measurements are to be complemented by process knowledge, which is derived from the model-based grinding burn limit of Malkin and allows to avoid visible tempering and rehardening in the surface and subsurface area of the workpiece [43,44].…”
Section: Measurement Of Surface Layer Statesmentioning
confidence: 99%
“…Thus, the selective application of active and passive Barkhausen noise can help to identify surface characteristics under different machining conditions. Nevertheless, it remains challenging to reliably identify different levels of thermal workpiece damage, e.g., shift of residual stresses, light tempering, strong tempering and rehardening, due to the multiple mechanical and microstructural parameters, influencing the Barkhausen noise [42]. Hence the measurements are to be complemented by process knowledge, which is derived from the model-based grinding burn limit of Malkin and allows to avoid visible tempering and rehardening in the surface and subsurface area of the workpiece [43,44].…”
Section: Measurement Of Surface Layer Statesmentioning
confidence: 99%
“…The characterization of the surface integrity resulting from the grinding process was mainly carried out on the basis of residual stress depth profiles and metallographic cross-sections. Figure 3 shows characteristic residual stress depth profiles on the BGH_1.0_0.6 material state [21]. The simple standard deviation σ is basically low and ranges from 7.6 MPa to 29.2 MPa.…”
Section: Characterization Of the Thermo-mechanical Influence On The Smentioning
confidence: 99%
“…Further increasing material removal rates lead to high- Bild 3. Charakteristische Eigenspannungstiefenverläufe am Werkstoffzustand BGH_1,0_0,6 [21] er residual tensile stresses up to values of 750 MPa at a specific material removal rate of 24 mm³/mm × s. In addition, the occurring tensile stress maximum shifts to deeper material regions with increasing thermo-mechanical loads on the material surface. For a comparison between individual material states, Figure 4 shows the residual stress depth profiles of all material states after machining with the specific material removal rates Q' w = 1 mm³/ mm × s and 24 mm³/mm × s, respectively.…”
Section: Characterization Of the Thermo-mechanical Influence On The Smentioning
confidence: 99%
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