Monitoring of grinding burn via Barkhausen noise emission in case-hardened steel in large-bearing production

Neslušan, Miroslav; Čı́žek, Jakub; Kolařík, Kamil; Minárik, Peter; Čilliková, Mária; Melikhova, Oksana

doi:10.1016/j.jmatprotec.2016.09.015

Cited by 79 publications

(48 citation statements)

References 36 publications

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“…It is well known that a higher MBN can be obtained under tensile stresses rather than compressive ones [14][15][16][17][18][19]. Furthermore, the domain wall motion can be strongly pinned by dislocation cells [20,21], precipitates [22], and/or non-ferromagnetic phases [23]. The concept in which the SP surface could be accessed via the MBN technique has been already published.…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Evaluation of Steel Surfaces after Severe Plastic Deformation via the Barkhausen Noise Technique

Neslušan

Trško

Minárik

et al. 2018

Metals

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This paper reports about the non-destructive evaluation of surfaces after severe shot peening via the Barkhausen noise technique. Residuals stresses and the corresponding Almen intensity, as well as microstructure alterations, are correlated with the Barkhausen noise signal and its extracted features. It was found that residual stresses as well as the Barkhausen noise exhibit a valuable anisotropy. For this reason, the relationship between the Barkhausen noise and stress state is more complicated. On the other hand, the near-the-surface layer exhibits a remarkable deformation induced softening, expressed in terms of the microhardness and the corresponding crystalline size. Such an effect explains the progressive increase of the Barkhausen noise emission along with the shot-peening time. Therefore, the Barkhausen noise can be considered as a promising technique capable of distinguishing between the variable regimes of severe shoot peening.

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Section: Introductionmentioning

confidence: 99%

Non-Destructive Evaluation of Steel Surfaces after Severe Plastic Deformation via the Barkhausen Noise Technique

Neslušan

Trško

Minárik

et al. 2018

Metals

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“…Essentially, the depth δ therefore depends on the analysis frequency fa, the conductivity σ, and the permeabilities μr und μ0. In the past, individual micromagnetic parameters (in particular the BN amplitude) for the assessment of ground workpieces, have often been tested for correlation with the residual stress state, hardness, dislocation density, and chemical homogeneity of the microstructure [2,5,12,13].…”

Section: Micromagnetic Barkhausen Noise Analysismentioning

confidence: 99%

Micromagnetic Analysis of Thermally Induced Influences on Surface Integrity Using the Burning Limit Approach

Heinzel

Sackmann

Karpuschewski

2019

JMMP

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Particularly for highly stressed components, it is important to have precise knowledge of the surface and subsurface properties and, thus, of the functional properties after final grinding at the end of a complex process chain in order to avoid rejected parts. Therefore, non-destructive testing methods have been the subject of research for several years. The Barkhausen noise analysis, as a micromagnetic measuring method, has the potential to characterize the subsurface area up to an analyzing depth δ non-destructively with micromagnetic parameters. In addition to micromagnetic multiparameter approaches, which allow post-process mode clear statements about the subsurface area state, the present research work deals with the concept of a connection of a single Barkhausen noise parameter with grinding process parameters. In combination with the analytical approach of Malkin for the thermal surface and subsurface area influence, which is based on the process parameters of grinding processes, a distinction between good and rejected ground parts can be achieved. The results show that, by post-process measurements of the Barkhausen noise on case-hardened workpieces made of steel 18CrNiMo7-6 (No. 1.6587, AISI 4820) and machined by a cylindrical grinding process, incipient changes in the residual stress state up to industrial-relevant limits, which distinguish between good and rejected parts, is possible. In the future, a combination of the Malkin grinding burning limit and sufficient condition monitoring based on in-process measurements of Barkhausen noise will be investigated. The application limits of the analytical approach of Malkin as well as the measurement of the Barkhausen noise in-process have to be determined.

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“…Various monitoring methods basing on vibration [6], electric current [7], force [8], piezoelectric diaphragms [9], acoustic emission (AE) [10], Barkhausen [11], eddy current [12], and so on [13][14][15] are utilized to detect the occurrence of grinding burn. Among all these on line detection methods, AE is one of the most effective technology for grinding burn detection [7].…”

Section: Introductionmentioning

confidence: 99%

Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal

Gao

Lin

Wang

et al. 2019

Chin. J. Mech. Eng.

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Grinding burn monitoring is of great importance to guarantee the surface integrity of the workpiece. Existing methods monitor overall signal variation. However, the signals produced by metal burn are always weak. Therefore, the detection rate of grinding burn still needs to be improved. The paper presents a novel grinding burn detection method basing on acoustic emission (AE) signals. It is achieved by establishing the coherence relationship of pure metal burn and grinding burn signals. Firstly, laser and grinding experiments were carried out to produce pure metal burn signals and grinding burn signals. No-burn and burn surfaces were generated and AE signals were captured separately. Then, the cross wavelet transform (XWT) and wavelet coherence (WTC) were applied to reveal the coherence relationship of the pure metal burn signal and grinding burn signal. The methods can reduce unwanted AE sources and background noise. Novel parameters based on XWT and WTC are proposed to quantify the degree of coherence and monitor the grinding burn. The grinding burn signals were recognized successfully by the proposed indexes under same grinding condition. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Monitoring of grinding burn via Barkhausen noise emission in case-hardened steel in large-bearing production

Cited by 79 publications

References 36 publications

Non-Destructive Evaluation of Steel Surfaces after Severe Plastic Deformation via the Barkhausen Noise Technique

Non-Destructive Evaluation of Steel Surfaces after Severe Plastic Deformation via the Barkhausen Noise Technique

Micromagnetic Analysis of Thermally Induced Influences on Surface Integrity Using the Burning Limit Approach

Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal

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