Guest Editors
Prof. Muhammad Mubashir Bhatti
Email: mubashirme@yahoo.com
Affiliation: College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China
Homepage:
Research Interests: linear and nonlinear waves in fluid mechanics, singular perturbation theory, methods and applications, numerical calculation methods
Dr. Zheng Mingliang
Email: zhmlwxcstu@zjgsdx.edu.cn
Affiliation: School of Intelligent Manufacturing, Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, China
Homepage:
Research Interests: computational fluid dynamics, artificial intelligence algorithm
Summary
The proposed Special Issue aims to explore cutting-edge developments at the intersection of fluid dynamics, advanced materials, and artificial intelligence. It will focus on the enhancement of heat transfer and fluid flow processes through the application of nanofluids, as well as the integration of artificial intelligence methods in computational fluid dynamics (CFD) to improve simulation accuracy, optimization, and predictive modeling.
This Special Issue seeks to bring together multidisciplinary research that bridges traditional fluid dynamics with modern computational and material science approaches. We welcome contributions that address fundamental challenges, present novel methodologies, or demonstrate innovative applications in areas such as nanofluidics, intelligent CFD, thermal management, and energy-related material design. By fostering collaboration among researchers worldwide, this issue seeks to advance scientific understanding and promote technological innovation in fluid dynamics and materials processing for sustainable and high-performance systems.
Relevant Subjects for This Special Issue:
· Fundamental Fluid Dynamics: Laminar and turbulent flows, multiphase and non-Newtonian fluids, micro- and nanoscale flows, heat and mass transfer, and fluid–structure interactions.
· Advanced Materials Processing: Material fabrication, coating, additive manufacturing (3D printing), welding, and composite manufacturing processes influenced by fluid dynamics.
· Nanofluidics and Novel Working Fluids: Behavior, thermophysical properties, and heat/mass transport enhancement using nanofluids, hybrid nanofluids, and other advanced fluids.
· Computational and Data-Driven Methods: CFD simulations, numerical modeling, hybrid analytical–computational approaches, and machine learning for fluid and thermal system optimization.
· Thermal Management and Energy Applications: Heat exchangers, energy systems (e.g., solar, fuel cells), building energy technologies, and industrial thermal systems.
· Optimization and Control: Performance enhancement strategies, process optimization, and intelligent control of fluid–thermal systems.
· Interdisciplinary and Applied Research: Integration of fluid dynamics and materials science for aerospace, bioengineering, chemical, environmental, and advanced manufacturing applications.
Keywords
nanofluids, heat transfer, artificial intelligence methods for computational fluid dynamics, new energy nanomaterials
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