Aitor Lasaosa Beguiristain-rekin lankidetzan egindako argitalpenak (6)

2023

  1. Grinding Burn Detection via Magnetic Barkhausen Noise Analysis Independently of Induction Hardened Depth

    Materials, Vol. 16, Núm. 5

2020

  1. A regressor-based hysteresis formulation for the magnetic characterisation of low carbon steels

    Physica B: Condensed Matter, Vol. 581

2018

  1. Quantitative estimation of nonmonotonic residual stress depth-profiles using an extended Kypris-Jiles model of the magnetic Barkhausen noise spectrum

    Journal of Applied Physics, Vol. 123, Núm. 3

  2. Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels

    Physica B: Condensed Matter, Vol. 549, pp. 122-126

2017

  1. Induction Hardened Layer Characterization and Grinding Burn Detection by Magnetic Barkhausen Noise Analysis

    Journal of Nondestructive Evaluation, Vol. 36, Núm. 2

2014

  1. Characterisation of in-depth stress state by magnetic Barkhausen noise on machined steel acquiring different frequency bands

    Advanced Materials Research