HIGHLIGHTS
- who: Kizkitza Gurruchaga and colleagues from the , Donostia/San Sebastiu00e1n, Spain Department of Electrical and Electronic Engineering, Universidad Navarra, Tecnun, Manuel Lardizabal , have published the paper: Grinding Burn Detection via Magnetic Barkhausen Noise Analysis Independently of Induction Hardened Depth, in the Journal: Materials 2023, 2127 of /2023/
- what: Considering this limitation, in this study a new method that uses a combination of simple parameters derived from the MBN signal is proposed to improve the detection of slight grinding burns and to identify both slight and intense grinding burns, independently of the induction-hardened depth. In . . .
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