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Aki Sorsa
Aki Sorsa
Research Scientist of Control Engineering, University of Oulu
Zweryfikowany adres z oulu.fi
Tytuł
Cytowane przez
Cytowane przez
Rok
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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