Personer
Iikka Virkkunen

Iikka Virkkunen

Adjunct Professor
Adjunct Professor
T212 Department of Energy and Mechanical Engineering
Adjunct Professor
Department of Energy and Mechanical Engineering
Adjunct Professor
Materials to Products

Research topics include materials degradation and non-destructive testing. In materials degradation, focus is on energy materials (nuclear, in particular), fatigue, thermal fatigue and residual stresses. Recent research focuses on measuring and understanding weld residual stresses in complex nuclear welds, dissimilar metal welds and weld repairs and their possible relaxation during in-service use.

In non-destructive testing, the research focus is on reliability assessment of various NDT methods, probability of detection determination and advanced NDT data processing.

Full researcher profile
https://research.aalto.fi/...
E-post
iikka.virkkunen@aalto.fi
Telefonnummer
+358503475557

Kompetensområde

Materials, Residual stresses, Probability of detection, NDT, Fatigue, 216 Materials engineering, Metals

Forskningsgrupp

  • Materials to Products, Adjunct Professor

Publikationer

Flaw sizing with plane wave imaging (PWI) – total focusing method (TFM) and deep learning for reactor pressure vessel

Gonçalo Sorger, Iikka Virkkunen, Christer Söderholm 2025 NDT and E International

On comparison of fracture toughness of irradiated and thermally aged decommissioned nuclear weld metals with miniature specimen test technique

Laura Sirkiä, Siddharth Suman, Pentti Arffman, Noora Hytönen, Iikka Virkkunen 2024 Theoretical and Applied Fracture Mechanics

AI-assisted Ultrasonic Testing of Rails - A Case Study

Topias Tyystjärvi, Oskari Jessen-Juhler, Tuomas Koskinen, Iikka Virkkunen 2024 61st Annual Conference of the British Institute of Non-Destructive Testing, NDT 2024, in conjunction with Materials Testing Exhibition, MT 2024

Deploying Machine Learning for Radiography of Aerospace Welds

Topias Tyystjärvi, Peter Fridolf, Anders Rosell, Iikka Virkkunen 2024 Journal of Nondestructive Evaluation

Rilevamento automatico di difetti con radiografia digitale di giunti saldati per aerospace mediante deep learning. Parte II

Topias Tyystjärvi, Iikka Virkkunen, Peter Fridolf, Anders Rosell, Zuheir Barsoum 2024 Rivista Italiana della Saldatura

Study of fusion boundary microstructure and local mismatch of SA508/alloy 52 dissimilar metal weld with buttering

N. Hytönen, Y. Ge, Z. Que, S. Lindqvist, P. Nevasmaa, I. Virkkunen, P. Efsing 2023 Journal of Nuclear Materials

Machine Learning for Plane Wave Imaging

Tuomas Koskinen, Topias Tyystjärvi, Oskari Jessen-Juhler, Iikka Virkkunen 2023 60th Annual Conference of the British Institute of Non-Destructive Testing, NDT 2023

Virtual round robin 2 – Phased array inspection of dissimilar metal welds

Iikka Virkkunen, Tuomas Koskinen, Oskar Siljama 2023 Nuclear Engineering and Design

NDE 4.0 : New Paradigm for the NDE Inspection Personnel

Marija Bertovic, Iikka Virkkunen 2022 Handbook of Nondestructive Evaluation 4.0

Fusion Boundary Microstructure and Fracture Behavior of a nar-row-gap Alloy 52 Dissimilar Metal Weld and an Alloy 52 Dissimilar Metal Weld with Buttering

Noora Hytönen, Zaiqing Que, Sebastian Lindqvist, Jari Lydman, Yanling Ge, Iikka Virkkunen, Ulla Ehrnstén, Paavo Rautala, Pål Efsing, Björn Forssgren 2022