Technical Papers
Jan 20, 2022

Taguchi Optimization of Operating Conditions of a Microfiltration Alumina Ceramic Membrane and Artificial Neural-Network Modeling

Publication: Journal of Environmental Engineering
Volume 148, Issue 4

Abstract

A comprehensive study using a novel aluminum oxide microfiltration (MF) membrane and a thorough analysis of the effects of various operating conditions on the treatment of produced water were carried out. To set up the experiments and optimize the process parameters, an L9 orthogonal array of the Taguchi method and the larger-the-better target group analysis method was used. The impacts on filtrate flux and fouling control of operating conditions such as pH, temperature, crossflow velocity (CFV), and transmembrane pressure (TMP) were examined. Optimum operating conditions were determined to be 50°C, 1.8 bar, 1.8  m/s, and a pH of 5 and allowing for a maximum flux of 975  L/h·m2. The microfiltration (MF) membrane showed an oil-rejection rate of 98.25%, and the CFV was considered to be the most significant operating variable contributing to the regulation of the flux. Furthermore, 97% recovery was achieved with a mixture of cleaning solutions combining NaOH and HNO3. Two flux decline models were used to interpret the data including the Hermia and an artificial neural network (ANN). Hermia’s cake-forming process had the average highest correlation with permeate flux decline data for the nine experiments (R2=0.83). Using ANN simulation, the best results were obtained with two hidden layers and 25 neurons in each layer. Its performance in terms of the mean squared error as a percentage of the maximum flux was 0.4%.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 148Issue 4April 2022

History

Received: Mar 18, 2021
Accepted: Oct 20, 2021
Published online: Jan 20, 2022
Published in print: Apr 1, 2022
Discussion open until: Jun 20, 2022

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Mohamed Zoubeik [email protected]
Postdoctoral Fellow, Produced Water Treatment Laboratory, Faculty of Engineering and Applied Science, Univ. of Regina, Regina, SK, Canada S4S0A2. Email: [email protected]
Mohamed Echakouri [email protected]
Ph.D. Student, Produced Water Treatment Laboratory, Faculty of Engineering and Applied Science, Univ. of Regina, Regina, SK, Canada S4S0A2. Email: [email protected]
Professor and Associate Dean of Graduate Studies and Research, Produced Water Treatment Laboratory, Faculty of Engineering and Applied Science, Univ. of Regina, Regina, SK, Canada S4S0A2 (corresponding author). ORCID: https://orcid.org/0000-0002-8016-1693. Email: [email protected]
Amgad Salama [email protected]
Senior Research Associate, Produced Water Treatment Laboratory, Faculty of Engineering and Applied Science, Univ. of Regina, Regina, SK, Canada S4S0A2. Email: [email protected]

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Cited by

  • High-Frequency Pulsatile Parameterization Study for the Titania Ceramic Membrane Fouling Mitigation in Oily Wastewater Systems Using the Box–Behnken Response Surface Methodology, Membranes, 10.3390/membranes12121198, 12, 12, (1198), (2022).
  • Experimental Investigation of the Novel Periodic Feed Pressure Technique in Minimizing Fouling during the Filtration of Oily Water Systems Using Ceramic Membranes, Membranes, 10.3390/membranes12090868, 12, 9, (868), (2022).
  • Toward an Understanding of the Role of Fabrication Conditions During Polymeric Membranes Modification: A Review of the Effect of Titanium, Aluminum, and Silica Nanoparticles on Performance, Arabian Journal for Science and Engineering, 10.1007/s13369-022-07143-3, (2022).

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