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Aki Sorsa
Aki Sorsa
Research Scientist of Control Engineering, University of Oulu
Verified email at oulu.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
Real-coded genetic algorithms and nonlinear parameter identification
A Sorsa, R Peltokangas, K Leiviska
2008 4th International IEEE Conference Intelligent Systems 2, 10-42-10-47, 2008
602008
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
Sensor validation and outlier detection using fuzzy limits
J Nasi, A Sorsa, K Leiviska
Proceedings of the 44th IEEE Conference on Decision and Control, 7828-7833, 2005
252005
Sensor validation and outlier detection using fuzzy limits
J Nasi, A Sorsa, K Leiviska
Proceedings of the 44th IEEE Conference on Decision and Control, 7828-7833, 2005
252005
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
Method and device arrangement for automatic dose control of chemicals
E Piironen, E Juuso, I Joensuu, A Sorsa
US Patent 8,515,581, 2013
182013
Method and device arrangement for automatic dose control of chemicals
E Piironen, E Juuso, I Joensuu, A Sorsa
US Patent 8,515,581, 2013
182013
Method and device arrangement for automatic dose control of chemicals
E Piironen, E Juuso, I Joensuu, A Sorsa
US Patent 8,515,581, 2013
182013
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
Development and calibration of a dynamic flotation circuit model
P Seppälä, A Sorsa, M Paavola, J Ruuska, A Remes, H Kumar, ...
Minerals Engineering 96, 168-176, 2016
172016
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
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