Progress in Computational Fluid Dynamics, An International Journal (PCFD) is a peer-reviewed journal that publishes research articles, reviews, and technical notes covering all aspects of computational fluid dynamics (CFD). It provides a platform for researchers, engineers, and practitioners to disseminate advancements in numerical methods, modeling techniques, and applications related to fluid dynamics.
Objective:
The primary objective of PCFD is to advance the field of computational fluid dynamics by publishing high-quality research that contributes to the understanding, development, and application of CFD methodologies. The journal aims to bridge the gap between theory and practice in fluid dynamics simulations and their engineering applications.
Interdisciplinary Approach:
PCFD often adopts an interdisciplinary approach, welcoming contributions that integrate fluid dynamics with fields such as aerospace engineering, mechanical engineering, environmental science, biomedical engineering, and more. This interdisciplinary perspective allows researchers to address complex fluid flow problems across various domains.
Impact:
PCFDs impact lies in its role in advancing computational techniques and modeling approaches in fluid dynamics. By publishing innovative research that enhances the accuracy, efficiency, and applicability of CFD methods, the journal influences both academic research and industrial practices in fluid mechanics and related fields.
Significance:
For researchers, engineers, and practitioners in computational fluid dynamics, PCFD provides a valuable platform for staying updated on cutting-edge research, methodologies, and practical applications. Its publications support advancements in areas such as turbulence modeling, multiphase flows, heat transfer, combustion simulations, and fluid-structure interactions.
Journal Home:  Journal Homepage
Editor-in-Chief:  Prof. Dr.-Ing. habil. A. C. Benim
scope:
Progress in Computational Fluid Dynamics, An International Journal (PCFD) focuses on advancements in computational methods and their applications in fluid dynamics. Here is an overview of its scope and the topics covered:
Computational Fluid Dynamics (CFD) Methods:
Research on numerical methods and algorithms for solving fluid dynamics problems, including finite difference, finite volume, finite element, spectral methods, lattice Boltzmann methods, and other computational techniques.
Multiphase Flows:
Research on modeling and simulation of multiphase flows, including two-phase and multi-phase flows, interfacial dynamics, fluid-structure interactions, and applications in engineering and environmental sciences.
Turbulence Modeling and Simulation:
Research on turbulence modeling techniques, large-eddy simulation (LES), direct numerical simulation (DNS), Reynolds-averaged Navier-Stokes (RANS) simulations, hybrid RANS-LES methods, and applications in aerodynamics and fluid machinery.
Fluid-Structure Interaction (FSI):
Research on fluid-structure interaction problems, coupling methods between fluid dynamics and structural mechanics, dynamic response of structures to fluid forces, and applications in aerospace, civil engineering, and biomechanics.
Heat and Mass Transfer:
Research on computational methods for heat transfer and mass transfer problems, including conduction, convection, radiation, phase change, porous media, and applications in thermal management, industrial processes, and environmental engineering.
Combustion Modeling:
Research on computational modeling of combustion processes, including turbulent combustion, chemical kinetics, pollutant formation, combustion instability, and applications in energy systems, propulsion, and environmental control.
Fluid Dynamics in Engineering Applications:
Research on applications of computational fluid dynamics in various engineering disciplines, such as aerospace, automotive, energy systems, environmental engineering, biomedical engineering, and process industries.
Advanced CFD Applications:
Research on emerging applications of CFD, including nanofluid dynamics, microfluidics, biofluid dynamics, complex fluids, geophysical flows, and applications in emerging technologies.
Print ISSN:  1468-4349
Electronic ISSN:  1741-5233
Abstracting and Indexing:  Scopus, Science Citation Index Expanded
Imapct Factor 2023:  0.6
Subject Area and Category:  Computer Science, Computer Science Applications, Physics and Astronomy, Condensed Matter Physics
Publication Frequency:  
H Index:  34
Q1:  
Q2:  
Q3:  
Q4:  Computer Science Applications
Cite Score:  1.5
SNIP:  0.696
Journal Rank(SJR):  0.239
Latest Articles:   Latest Articles in Progress in Computational Fluid Dynamics
Guidelines for Authors: Progress in Computational Fluid Dynamics Author Guidelines
Paper Submissions: Paper Submissions in Progress in Computational Fluid Dynamics
Publisher:  Inderscience Enterprises Ltd.
Country:  United Kingdom