Guest Editor(s)
Prof. Dr. Shyy Woei Chang
Email: swchang@mail.ncku.edu.tw
Affiliation: Department of Systems and Naval Mechatronic Engineering,
National Cheng Kung University,
No. 1, University Road, Tainan City, Taiwan
Homepage:
Research Interests: heat transfer enhancement, gas turbine blade cooling, heat pipe/thermosyphon, electronic cooling, theraml analysis of electric motor

Dr. Wei Ling Cai
Email: 50213@nkust.edu.tw
Affiliation: Department of Marine Engineering
National Kaohsiung University of Science and Technology, Cijin Campus
No. 482, Zhongzhou 3rd Road, Cijin District, Kaohsiung City, Taiwan
Homepage:
Research Interests: heat transfer and pressure drop characteristics in single-phase and gas–liquid two-phase flows, thermal management and cooling performance of electric motors

Summary
Gas turbine blades operate under extreme temperatures exceeding material limits. Advanced cooling research is critical to prevent thermal failure, extend component lifespans, and elevate Turbine Entry Temperature (TET) to maximize efficiency, thereby reducing fuel consumption.
This special issue focuses on innovative blade cooling technologies, film cooling optimization, the thermal performance of rotating flows, and novel cooling measures to elevate heat transfer efficacy and enhance component reliability.
The special issue includes, but is not limited to, the following themes:
* Film Cooling Optimization: Advanced hole geometries, anti-vortex designs, and trench-hole configurations.
* Internal Cooling Innovations: Novel impingement arrangement, rib turbulators, pin-fin arrays, dimples, and lattice structures.
* Novel Cooling Measures: Transpiration cooling, effusive cooling, and phase-change thermal management systems.
* Additive Manufacturing for Cooling: Design, production, and thermal testing of 3D-printed complex cooling channels.
* Thermal Performance of Rotating Flows: Experimental and numerical studies on rotation effects, buoyancy, and Coriolis forces.
* Aerodynamic-Thermal Coupling: Interaction between cooling jet ejection, mainstream flow, and aerodynamic loss.
* Unsteady and Wake Effects: Impact of stator-rotor interactions, shock waves, and free-stream turbulence on cooling efficacy.
* High-Fidelity Numerical Simulations: LES, DNS, and advanced RANS modeling for complex blade cooling flows.
* AI and Machine Learning Application: Data-driven optimization, surrogate modeling, and predictive maintenance for blade thermal management.
Keywords
gas turbine blade cooling; film cooling optimization; internal cooling; rotating flow heat transfer; additive manufacturing cooling; machine leaarning in thermal management