On 6/25/2025, Hanyu WANG, Okamoto/Miwa lab, Department of Nuclear Engineering and Management, (D3), received the “Qian Sangiang Best Paper Award” at The 32d International Conference on Nuclear Engineering (ICONE32).

〈Name of award and short explanation about the award〉

Qian Sangiang Best Paper Award

An award presented to recognize particularly excellent papers in the student program

〈About awarded research〉

Title: Development of Industry-applicable Two-phase Flow Identification and Classification Approach Based on Flow-induced Vibration Signals

Real-time identification of two-phase flow regimes is critical for safe and efficient industrial operations, yet existing machine learning methods often rely on external labels or general flow maps that may not hold in complex geometries. This study proposes a framework using non-intrusive two-phase flow-induced vibration (TP-FIV) signals from a vertical 90° elbow. Four feature sets—statistical, frequency, shape, and complexity—are extracted, with shape features isolating bubbly flows and statistical features distinguishing slug/churn from annular flows. Fuzzy C-means clustering yields regimes consistent with Mishima–Ishii’s map. A Bayesian-optimized 1D CNN then achieves 100% accuracy with only 1.5-s signals, outperforming comparable models. The approach enables rapid, reliable flow regime classification, enhancing safety in real-world two-phase systems.

〈Your impression & future plan〉

I would like to express my sincere appreciation to all the members of our lab, especially Prof. Miwa and Prof. Okamoto, for their substantial help and support. I will remain enthusiasm into our research in AI techniques and nuclear reactor thermos hydraulics.