Contact Dr Feiyang He
Areas of expertise
- Structures and Materials
- Through-life Engineering Services
Background
Dr Feiyang He is a researcher with extensive academic training and research experience. He completed his PhD in 2022 at Cranfield University, where he conducted research on the dynamic response of damaged structures under thermal field conditions. Dr. He also holds a Master of Science degree in Automotive Mechatronics from Cranfield University, and a Bachelor of Engineering degree in Automotive Engineering from Coventry University, where he graduated with First Class Honors in 2017.
Current activities
Dr He is the Research Fellow in Autonomous Rail Ultrasonic Inspections in Centre for Life-cycle Engineering and Management. He is working on the IN2TRACK3 project, a collaborative effort between Cranfield University, Network Rail and Sperry Rail Service. The project aims to develop an autonomous rail inspection system based on ultrasonic testing (UT) and demonstrate its feasibility at the technology readiness level (TRL) 6.
Dr He's expertise covers structural dynamics, fracture mechanics, additive manufacturing and non-destructive testing. Currently, He is actively involved in teaching and supervising MSc and PhD students in related fields.
Publications
Articles In Journals
- Doğanay Katı H, Buhari J, Francese A, He F & Khan M. (2025). Numerical analysis of crack path effects on the vibration behaviour of aluminium alloy beams and its identification via artificial neural networks. Sensors, 25(3)
- Tian Y, Zheng B, Khan M & He F. (2025). Influence of sliding direction relative to layer orientation on tribological performance, noise, and stability in 3D-printed ABS components. Tribology International, 210
- Agala A, Khan MA, He F & Alnuman A. (2024). Leakage quantification in metallic pipes under different corrosion exposure times. Processes, 12(7)
- Alshammari YLA, He F, Alrwili AA & Khan M. (2024). Fundamental challenges and complexities of damage identification from dynamic response in plate structures. Applied Sciences, 14(18)
- Li J, Durazo-Cardenas I, Ruiz-Carcel C, He F, Anderson R, .... (2024). Smart railways: the design and construction of an autonomous inspection and maintenance vehicle. Procedia CIRP, 128
- He F, Ning H & Khan M. (2023). Effect of 3D printing process parameters on damping characteristic of cantilever beams fabricated using material extrusion. Polymers, 15(2)
- Yang Z, He F & Khan M. (2023). An empirical torsional spring model for the inclined crack in a 3D-printed acrylonitrile butadiene styrene (ABS) cantilever beam. Polymers, 15(3)
- Almutairi MD, Mascarenhas TA, Alnahdi SS, He F & Khan MA. (2023). Modal response of hybrid raster orientation on material extrusion printed acrylonitrile butadiene styrene and polyethylene terephthalate glycol under thermo-mechanical loads. Polymer Testing, 120(March)
- Chan KP, He F, Atwah AA & Khan M. (2023). Experimental investigation of self-cleaning behaviour of 3D-printed textile fabrics with various printing parameters. Polymer Testing, 119(February)
- Francese A, Khan M & He F. (2023). Role of dynamic response in inclined transverse crack inspection for 3D-printed polymeric beam with metal stiffener. Materials, 16(8)
- Almutairi MD, He F, Alshammari YL, Alnahdi SS & Khan MA. (2023). Analysis of the self-healing capability of thermoplastic elastomer capsules in a polymeric beam structure based on strain energy release behaviour during crack growth. Polymers, 15(16)
- He F, Xu C & Khan M. (2023). Tribological characterisation and modelling for the fused deposition modelling of polymeric structures under lubrication conditions. Polymers, 15(20)
- He F, Mohamadzadeh N, Sadeghnejad M, Ingram B & Ostovari Y. (2023). Fractal Features of Soil Particles as an Index of Land Degradation under Different Land-Use Patterns and Slope-Aspects. Land, 12(3)
- Atwah AA, Almutairi MD, He F & Khan MA. (2022). Influence of printing parameters on self-cleaning properties of 3D printed polymeric fabrics. Polymers, 14(15)
- He F, Khan M & Aldosari SM. (2022). Interdependencies between dynamic response and crack growth in a 3D-printed acrylonitrile butadiene styrene (ABS) cantilever beam under thermo-mechanical loads. Polymers, 14(5)
- He F, Thakur VK & Khan MA. (2021). Evolution and new horizons in modeling crack mechanics of 3D printing polymeric structures. Materials Today Chemistry, 20
- Alshammari YLA, He F & Khan MA. (2021). Modelling and investigation of crack growth for 3D-printed acrylonitrile butadiene styrene (ABS) with various printing parameters and ambient temperatures. Polymers, 13(21)
- He F & Khan M. (2021). Effects of printing parameters on the fatigue behaviour of 3D-printed ABS under dynamic thermo-mechanical loads. Polymers, 13(14)
- Fleet T, Kamei K, He F, Khan MA, Khan KA, .... (2020). A machine learning approach to model interdependencies between dynamic response and crack propagation. Sensors, 20(23)
- Baqasah H, He F, Zai BA, Asif M, Khan KA, .... (2019). In-situ dynamic response measurement for damage quantification of 3D printed ABS cantilever beam under thermomechanical load. Polymers, 11(12)