Atia E. Khalifa

Prof. Atia E. Khalifa

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 February 2017 in Desalination
Verified
Journal Article
Closed access
AKAtia E. Khalifa
Atia E. Khalifa
HAH. Ahmad
H. Ahmad
Mohamed AntarMohamed Antar
Mohamed Antar
TLT Laoui
T Laoui
Mohamed KhayetMohamed Khayet
Mohamed Khayet

1 November 2015 in Desalination
Verified
Journal Article
Closed access
AKAtia E. Khalifa
Atia E. Khalifa
DLDahiru Lawal
Dahiru Lawal
Mohamed AntarMohamed Antar
Mohamed Antar
Mohamed KhayetMohamed Khayet
Mohamed Khayet

1 July 2018 in Desalination
Verified
Journal Article
Closed access
AKAtia E. Khalifa
Atia E. Khalifa
SASuhaib M. Alawad
Suhaib M. Alawad

22 October 2011 in Arabian Journal for Science and Engineering
Verified
Journal Article
Closed access
PDF file
AKAtia E. Khalifa
Atia E. Khalifa
AAAmro M. Al-Qutub
Amro M. Al-Qutub
RBRached Ben-Mansour
Rached Ben-Mansour

1 September 2017 in Desalination
Verified
Journal Article
Closed access
AKAtia E. Khalifa
Atia E. Khalifa
SASuhaib M. Alawad
Suhaib M. Alawad
MAMohamed A. Antar
Mohamed A. Antar

22 June 2016 in Desalination and Water Treatment
Verified
Journal Article
Open access
AKAtia E. Khalifa
Atia E. Khalifa
DLDahiru Lawal
Dahiru Lawal
The performance of an air gap membrane distillation (AGMD) system for water desalination was optimized and compared using Taguchi orthogonal design arrays and the response surface methodology (RSM) Face-Centered Central Composite Design. The variables considered in the optimization are feed flow rate, feed temperature, coolant temperature, coolant flow rate, and air gap width. Additionally, a quadratic RS-model between response and the operating parameters was developed. Analysis of variance was then use to analyze the model and the significant effect of each operating parameters on flux. Results showed that the feed temperature and the air gap width are the most influential factors controlling the permeate production. The sensitivity of the permeate flux to coolant flow rate is marginal compared to other factors. From Taguchi technique, a maximum flux of 76.046 kg/m2 h was obtained at optimum conditions. The RSM approach produced a maximum flux of 76.998 kg/m2 h at optimum conditions. Although both techniques predicted very similar results, the RSM gives better predictions of the influence of operating parameters on response, and it is a better tool for the optimization of AGMD system compared to Taguchi methodology.