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The International Journal of Numerical Methods for Heat & Fluid Flow (HFF) publishes peer-reviewed papers that explain how fundamental insights are gained in heat and fluid flow physics using computational methods supported by analytical and experimental research. The Editors encourage contributions which increase the basic understanding of the interaction between heat transfer processes and fluid dynamics involved in solving engineering problems. Original and high-quality contributions in numerical methods, including deep learning methods, for solving fluid-structure interaction, micro-bio fluidics, laminar and turbulent flow, heat transfer and advection/diffusion problems are relevant and welcome. However, the application of existing numerical, and deep learning, methods to engineering problems that are not deemed to be at the forefront of research by the Editors will not be considered for review.
Mixed ConvectionHeat TransferFlow and Heat TransferHybrid NanofluidNanofluid FlowPorous MediumFinite Volume MethodNumerical SimulationLattice Boltzmann MethodHeat Transfer RateFluid Flow and Heat TransferComputational Fluid DynamicsStretching SheetHeat and Mass TransferAverage Nusselt NumberConvection FlowFluid FlowFinite Element MethodNanofluidHeat Transfer Enhancement
vol.36 (2026)
vol.35 (2025)
vol.34 (2024)
vol.33 (2023)
vol.32 (2022)
vol.31 (2021)
vol.30 (2020)
vol.30 (2019)
vol.29 (2019)
vol.28 (2018)
vol.27 (2017)
vol.26 (2016)
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vol.12 (2002)
vol.11 (2001)
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vol.9 (1999)
vol.8 (1998)
vol.7 (1997)
vol.6 (1996)
vol.5 (1995)
vol.4 (1994)
vol.3 (1993)
vol.2 (1992)
vol.1 (1991)
Alsheri, Ahuod S.Elsaid, Essam M.Alotaibi, FakhirahElnaggar, Ghada RaghebAbdelwahed, Mohamed S.