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Suvi Santa-aho
Suvi Santa-aho
Research fellow, PhD, Tampere University of Technology
Verified email at tut.fi
Title
Cited by
Cited by
Year
Quantitative prediction of residual stress and hardness in case-hardened steel based on the Barkhausen noise measurement
A Sorsa, K Leiviskä, S Santa-aho, T Lepistö
Ndt & E International 46, 100-106, 2012
1502012
Utilization of Barkhausen noise magnetizing sweeps for case-depth detection from hardened steel
S Santa-Aho, M Vippola, A Sorsa, K Leiviskä, M Lindgren, T Lepistö
Ndt & E International 52, 95-102, 2012
932012
Development of Barkhausen noise calibration blocks for reliable grinding burn detection
S Santa-Aho, M Vippola, A Sorsa, J Latokartano, M Lindgren, K Leiviskä, ...
Journal of Materials Processing Technology 212 (2), 408-416, 2012
672012
Effect of shot peening parameters to residual stress profiles and Barkhausen noise
A Sorsa, S Santa-aho, J Wartiainen, L Suominen, M Vippola, K Leiviskä
Journal of Nondestructive Evaluation 37, 1-11, 2018
452018
Optimized laser processing of calibration blocks for grinding burn detection with Barkhausen noise
S Santa-aho, M Vippola, A Sorsa, M Lindgren, J Latokartano, K Leiviskä, ...
Journal of Materials Processing Technology 212 (11), 2282-2293, 2012
382012
An efficient procedure for identifying the prediction model between residual stress and Barkhausen noise
A Sorsa, K Leiviskä, S Santa-aho, M Vippola, T Lepistö
Journal of Nondestructive Evaluation 32, 341-349, 2013
372013
Barkhausen noise probes and modelling: A review
S Santa-aho, A Laitinen, A Sorsa, M Vippola
Journal of Nondestructive Evaluation 38 (4), 94, 2019
352019
Additive manufactured 316L stainless-steel samples: Microstructure, residual stress and corrosion characteristics after post-processing
S Santa-Aho, M Kiviluoma, T Jokiaho, T Gundgire, M Honkanen, ...
Metals 11 (2), 182, 2021
292021
Comparative study of additively manufactured and reference 316 L stainless steel samples–Effect of severe shot peening on microstructure and residual stresses
T Gundgire, T Jokiaho, S Santa-aho, T Rautio, A Järvenpää, M Vippola
Materials Characterization 191, 112162, 2022
252022
Barkhausen noise characterisation during elastic bending and tensile-compression loading of case-hardened and tempered samples
S Santa-aho, M Vippola, T Saarinen, M Isakov, A Sorsa, M Lindgren, ...
Journal of Materials Science 47, 6420-6428, 2012
242012
Review of railway track applications of Barkhausen noise and other magnetic testing methods
S Santa-Aho, A Sorsa, A Nurmikolu, M Vippola
Insight-Non-Destructive Testing and Condition Monitoring 56 (12), 657-663, 2014
222014
Prediction of residual stresses using partial least squares regression on Barkhausen noise signals
A Sorsa, A Isokangas, S Santa-aho, M Vippola, T Lepistö, K Leiviskä
Journal of Nondestructive Evaluation 33, 43-50, 2014
222014
Case depth prediction of nitrided samples with Barkhausen noise measurement
A Sorsa, S Santa-aho, C Aylott, BA Shaw, M Vippola, K Leiviskä
Metals 9 (3), 325, 2019
182019
Barkhausen: a study on laser-processed grinding burn simulation and analysis based on Barkhausen noise measurement
A Sorsa, K Leivisk, S Santa-Aho, M Vippola, T Lepist
Insight-Non-Destructive Testing and Condition Monitoring 52 (6), 293-297, 2010
182010
Barkhausen noise-magnetizing voltage sweep measurement in evaluation of residual stress in hardened components
S Santa-aho, A Sorsa, M Hakanen, K Leiviskä, M Vippola, T Lepistö
Measurement Science and Technology 25 (8), 085602, 2014
172014
A data-based modelling scheme for estimating residual stress from Barkhausen noise measurements
A Sorsa, K Leiviskä, S Santa-Aho, T Lepistö
Insight-Non-Destructive Testing and Condition Monitoring 54 (5), 278-283, 2012
152012
Characterisation of case-hardened gear steel by multiparameter Barkhausen noise measurements
S Santa-Aho, M Vippola, T Lepist, M Lindgren
Insight-Non-Destructive Testing and Condition Monitoring 51 (4), 212-216, 2009
152009
Automated ultrasound-based inspection of rails
S Santa-aho, A Nurmikolu, M Vippola
International Journal of Railway 10 (2), 21-29, 2017
142017
Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy-effect of microstructural steel features on Barkhausen noise
M Honkanen, S Santa-aho, L Laurson, N Eslahi, A Foi, M Vippola
Acta Materialia 221, 117378, 2021
132021
Utilization of frequency-domain information of Barkhausen noise signal in quantitative prediction of material properties
A Sorsa, S Santa-aho, M Vippola, T Lepistö, K Leiviskä
AIP Conference Proceedings 1581 (1), 1256-1263, 2014
132014
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