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Published Volumes
Recent Volume

Recent Volume

2020 Vol. 13, No. 6

Welcome to the JAFM online scientific journal system

JAFM is indexed in:

ISI (Thomson Reuters) IF (2019)= 0.689

Science Citation Index Expanded (SciSearch)
Journal Citation Reports/Science Edition
Current Contents/Engineering Computing Technology

SCOPUS    SNIP (2019): 0.686   SJR (2019): 0.285   CiteScore (2019): 2.3


Ulrich's Periodicals Directory

AJC        ISC        SID
 Open Access

Journal of Applied Fluid Mechanics

ISSN: 1735-3572    EISSN: 1735-3645


Prof. Ahmad Reza Pishevar


Editorial Manager

Dr. Mohammad Reza Tavakoli

Editorial Assistant

Ms. Shakiba Rostami


JAFM is an open access, peer-reviewed online journal with a scope that covers all aspects of theoretical, numerical and experimental fluid mechanics. The emphasis is on the applied rather than purely mathematical aspects of fluid mechanics.


JAFM offers a rapid and high quality peer-review process overseen by its distinguished international Editorial Board. The journal benefits from an efficient online submission process and online publication upon acceptance.


JAFM papers are freely available and the accepted papers are published free of cost.


For further assistance for submitting manuscripts, the JAFM secretary may be contacted by the following email address:



Most Viewed Papers
Vol9 , No 6
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Title : Parametric Study and Optimization of Ceiling Fan Blades for Improved Aerodynamic Performance
Pages : 2905-2916
Authors : E. Adeeb,  Adnan Maqsood,  Ammar Mushtaq,  C. H. Sohn, 
Anstract : This paper includes parametric study and optimization of non-linear ceiling fan blades by combining the techniques of Design of Experiments (DOE), Response Surface Methods (RSM) and Computational Fluid Dynamics (CFD). Specifically, the nonlinear (elliptical) planform shape of ceiling fan blade is investigated in conjunction with blade tip width, root and tip angle of attack. Sixteen cases are designed for three blade ceiling fan using two level full factorial model. The flow field is modeled using Reynolds-Averaged-Navier-Stokes approach. The performance variables used to formulate a multi-objective optimization problem are volumetric flow rate, torque and energy efficiency. Response Surface Method is used to generate the optimized design for non-linear ceiling fan blade profile. The results reveal that the interactions between the design variables play a significant role in determining the performance. It is concluded that the nonlinear forward sweep has a moderate effect on response parameters.