Ground effect phenomenon is found when the lift-device such as wing, placed near ground. This influences aerodynamics characteristic whereby its appearance important to be investigated. work aims study influence of ground towards characteristion on NACA4415 airfoil by varying airfoil’s angle attack (AoA) well height proximity. Numerical approach conducted Fluent was carried out while steady ass...

An optimization tool for offshore bottoming cycle and heat recovery steam generator (HRSG) design has previously been developed. The is based on empirical correlations to obtain hydraulic thermal quantities the HRSG. However, as these are experiments with typical onshore designs, they may not be valid compact designs encountered in HRSGs.In order extend validity range of tool, this work present...

For turbulent channel flow, pipe and zero-pressure gradient boundary layer, Heinz yielded recently analytical formulas for the eddy viscosity as a product of function (the wall-normal distance scaled in inner units) same outer units). By calculating eddy-viscosity diffusion term, an exact high-Reynolds-number equation with one production two dissipation terms is constructed those flows. One ter...

Machine learning (ML) is a rising and promising tool for Reynolds-Averaged Navier–Stokes (RANS) turbulence model developments, but its application to industrial flows hindered by the lack of explainability ML model. In this paper, two types methods improve are presented, namely intrinsic that reduce complexity post-hoc explain correlation between inputs outputs. The investigated ML-assisted fra...

Purpose The purpose of this paper is to devise a tool based on computational fluid dynamics (CFD) and machine learning (ML), for the assessment potential airborne microbial transmission in enclosed spaces. A gated recurrent units neural network (GRU-NN) presented learn predict behaviour droplets expelled through breaths via particle tracking data sets. Design/methodology/approach methodology us...

The present work studied various models for predicting turbulence in the problem of injecting a fluid microjet into boundary layer turbulent flow. For this purpose, one-equation Spalart–Allmaras (SA), two-equation k–ε and k–ω, multi-equation transition k-kL–ω, shear stress transport (SST), Reynolds were used solving steady layer, their results are compared with experimental results. Comparing i...

Over the past years, there has been innovative ideas about data-driven turbulence modeling proposed by scholars all over world. This paper is a continuity of these significant efforts, with aim offering better representation for physics. Previous works mainly focus on viscosity or Reynolds stress, while are few transition. In our work, two mapping functions between average flow parameters and t...

In this work, in the area of Computational Fluid Dynamics (CFD), more specifically thermofluid dynamics for two-dimensional flows (2D), and also considering, fluid-body interaction, allied to phenomena heat-transfer by mixed convection beginning processes turbulent flow phenomenon a study is proposed that demonstrates efficiency analysis simulation these complex phenomena. We adopt an Eulerian ...

This paper provides 2D Computational Fluid Dynamics (CFD) investigations, using OpenFOAM package, of the unsteady separated fully turbulent flows past a NACA 0015 airfoil undergoing sinusoidal pitching motion about its quarter-chord axis in deep stall regime at reduced frequency 0.1, free stream Mach number 0.278, and Reynolds number, based on chord length, , . First, eighteen steady-state comp...