Shudi Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Shudi Zhang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Hengbo Zhang
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
1 shared publication - Xiaotian Chen
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
1 shared publication - Yiling Zou
School of Mechanical Engineering, Sichuan University, Chengdu 610017, China
1 shared publication - Yingying Li
School of Mechanical Engineering, Sichuan University, Chengdu 610017, China
1 shared publication - Yizhao Zeng
School of Mechanical Engineering, Sichuan University, Chengdu 610017, China
1 shared publication
Latest Publications
- Open Access
- 19 August 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (16) , 7269
Characterization of Multi-Layer Rolling Contact Fatigue Defects in Railway Rails Using Sweeping Eddy Current Pulse Thermal-Tomography
Railways play a pivotal role in national economic development, freight transportation, national defense, and regional connectivity. The detection of rolling contact fatigue (RCF) defects in rail tracks is essential for railway safety and maintenance. Due to its efficiency and non-contact capability in detecting surface and near-surface defects, Eddy Current Pulsed Thermography (ECPT) has garnered significant attention from researchers. However, detecting multi-layer RCF defects remains a challenge. This paper introduces a sweeping Eddy Current Pulsed Thermal-Tomography system (ECPTT) to detect multi-layer RCF defects effectively. This system utilizes varying excitation frequencies to heat defects, altering skin depth and facilitating feature extraction to distinguish multi-layer RCF defects. Skewness and thermographic signal reconstruction (TSR) values are employed as features in the experiments. These features are qualitatively analyzed to differentiate the layers and depths of multi-layer RCF defects. Additionally, five different coils were compared and analyzed quantitatively. The results indicate that the ECPTT system can effectively detect and distinguish multi-layer RCF defects, thereby providing more detailed defect information and enhancing railway safety and maintenance efficiency.
- 19 August 2024
- Published by MDPI AG in Applied Sciences
- Vol. 14 (16) , 7269
Open AccessCharacterization of Multi-Layer Rolling Contact Fatigue Defects in Railway Rails Using Sweeping Eddy Current Pulse Thermal-Tomography
Railways play a pivotal role in national economic development, freight transportation, national defense, and regional connectivity. The detection of rolling contact fatigue (RCF) defects in rail tracks is essential for railway safety and maintenance. Due to its efficiency and non-contact capability in detecting surface and near-surface defects, Eddy Current Pulsed Thermography (ECPT) has garnered significant attention from researchers. However, detecting multi-layer RCF defects remains a challenge. This paper introduces a sweeping Eddy Current Pulsed Thermal-Tomography system (ECPTT) to detect multi-layer RCF defects effectively. This system utilizes varying excitation frequencies to heat defects, altering skin depth and facilitating feature extraction to distinguish multi-layer RCF defects. Skewness and thermographic signal reconstruction (TSR) values are employed as features in the experiments. These features are qualitatively analyzed to differentiate the layers and depths of multi-layer RCF defects. Additionally, five different coils were compared and analyzed quantitatively. The results indicate that the ECPTT system can effectively detect and distinguish multi-layer RCF defects, thereby providing more detailed defect information and enhancing railway safety and maintenance efficiency.