Quantifying the impact of different material properties on Barkhausen noise generation from machined steel using machine learning techniques

Author:

Srivastava AshishORCID,Nahak Binayak

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Modeling and Simulation

Reference43 articles.

1. Ortega-Labra, O., Le Manh, T., Martinez-Ortiz, P., Hallen, J.M., Perez-Benitez, J.A.: A novel system for non-destructive evaluation of surface stress in pipelines using rotational continuous magnetic Barkhausen noise. Measurement 136, 761–774 (2019)

2. Rajkumar, K., Vaidyanathan, S., Rao, B., Jayakumar, T., Raj, B.: Evaluation of mechanical properties of M250 maraging steel using magnetic Barkhausen emission analysis. In: Paper Presented at the 8th International Conference on Barkhausen Noise and Micromagnetic Testing, IGCAR, Kalpakkam, India, 11–12, February, (2010)

3. Viswanath, A., Rao, B., Rajkumar, K., Jayakumar, T., Raj, B.: Multi parametric-approach for assessment of aging of heat treated maraging steel. In: Paper Presented at the 8th International Conference on Barkhausen Noise and Micromagnetic Testing, IGCAR, Kalpakkam, India, 11–12 February, (2010)

4. Ding, S., Tian, G., Sutthaweekul, R.: Non-destructive hardness prediction for 18CrNiMo7-6 steel based on feature selection and fusion of magnetic Barkhausen noise. Ndt E Int. 107, 102138 (2019)

5. Franco, F.A., González, M.F.R., De Campos, M.F., Padovese, L.R.: Relation between magnetic Barkhausen noise and hardness for Jominy quench tests in SAE 4140 and 6150 steels. J. Nondestruct. Eval. 32, 93–103 (2013)

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