Vad János

About Vad János

Vad János, With an exceptional h-index of 18 and a recent h-index of 10 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem,

His recent articles reflect a diverse array of research interests and contributions to the field:

Parameter Study of a Loss Reducing Passive Flow Control Method in a Square-to-square Sudden Expansion

A Comprehensive Analytical Model for Vortex Shedding From Low-Speed Axial Fan Blades

Erratum to “Profile vortex shedding from low-speed axial fan rotor blades: A modelling overview”

Models for Estimation of Lift and Drag Coefficients for Low-Reynolds-Number Cambered Plates

Industry 4.0 perspectives of axial and radial fans in smart industrial ventilation: conceptual case studies

A passive loss reduction method of square-to-square sudden expansions

Profile vortex shedding from low-speed axial fan rotor blades: a modelling overview

Combined acoustic and aerodynamic investigation of the effect of inlet geometry on tip leakage flow noise of free-inlet free-exhaust low-speed axial flow fans

Vad János Information

University

Position

Áramlástan Tanszék Gépészmérnöki Kar

Citations(all)

1335

Citations(since 2020)

400

Cited By

1105

hIndex(all)

18

hIndex(since 2020)

10

i10Index(all)

36

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Top articles of Vad János

Parameter Study of a Loss Reducing Passive Flow Control Method in a Square-to-square Sudden Expansion

Periodica Polytechnica Mechanical Engineering

2023/7/31

A Comprehensive Analytical Model for Vortex Shedding From Low-Speed Axial Fan Blades

Journal of Turbomachinery

2023/7/1

Erratum to “Profile vortex shedding from low-speed axial fan rotor blades: A modelling overview”

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

2023/2

Models for Estimation of Lift and Drag Coefficients for Low-Reynolds-Number Cambered Plates

AIAA Journal

2022/12

Industry 4.0 perspectives of axial and radial fans in smart industrial ventilation: conceptual case studies

Proc. Conference on Modelling Fluid Flow (CMFF’22), Budapest, Hungary, Paper No.: CMFF22-040

2022/8

A passive loss reduction method of square-to-square sudden expansions

Energy and Buildings

2022/7/1

Profile vortex shedding from low-speed axial fan rotor blades: a modelling overview

2022/3

Combined acoustic and aerodynamic investigation of the effect of inlet geometry on tip leakage flow noise of free-inlet free-exhaust low-speed axial flow fans

Applied Acoustics

2022/2/1

Preliminary Design Guidelines for Considering the Vibration and Noise of Low-Speed Axial Fans Due to Profile Vortex Shedding

International Journal of Turbomachinery, Propulsion and Power

2022/1/7

Efficient PIV measurements in the interior of complex, transparent geometries

Conference on Modelling Fluid Flow (CMFF’22)

2022

Flow topology and loss analysis of a square-to-square sudden expansion relevant to HVAC systems: A case study

Journal of Building Engineering

2021/9/1

Beamforming based extension of semi-empirical noise modelling for low-speed axial flow fans

Applied Acoustics

2021/7/1

Experiment-based preliminary design guidelines for consideration of profile vortex shedding from low-speed axial fan blades

Journal of Turbomachinery

2021/6/1

An empirical model to determine lift and drag coefficients of cambered plates at moderate Reynolds numbers

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

2021/3

Semi-Empirical Design Guidelines for Controlling the Vibration and Noise of Low-Speed Axial Fans due to Profile Vortex Shedding

2021

Preface: A Conference on Modelling Fluid Flow

2020/11/26

Selected papers from the Conference on Modelling Fluid Flow (CMFF’06)

2020/11/26

A LAPLACIAN FILTERING-BASED TECHNIQUE TO LOCALIZE VORTEX SHEDDING NOISE IN A STRONGLY CONTAMINATED ENVIRONMENT

8th Berlin Beamforming Conference (BeBeC)

2020

See List of Professors in Vad János University(Budapesti Muszaki és Gazdaságtudományi Egyetem)

Co-Authors

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