Statistical Modeling for Stability of Emulsion Liquid Membrane for the Removal of Anionic Dyes from Textile Wastewater
Journal Title: Mehran University Research Journal of Engineering and Technology - Year 2018, Vol 37, Issue 3
Abstract
The importance of statistical modeling is obvious because it imparts an imperative role in predicting the effects of significant factors on any experimental process. In recent days, ELMs (Emulsion Liquid Membranes) are considered as an effective technique for the treatment of industrial wastewater. Despite of many advantages over the other treatment methods, ELM technology encounters one serious drawback of the stability of emulsion. The subject of this research is to identify the factors which are important to study the stability of ELM and also to evaluate the response of these parameters on stability. The membrane used in this study consisted of Span-80 and Hexane as surfactant and diluent respectively. The internal aqueous phase was H2SO4. The experimental setup was designed by using a well-known statistical approach of DoE (Design of Experiment) and the data was analyzed by Taguchi Method using a fractional factorial design. All the parameters including aqueous phase concentration, surfactant concentration, volume ratio of organic to aqueous phase, emulsification speed and emulsification time were selected as key factors to study their effect on the stability of ELM. Using different statistical techniques, it was found that emulsification speed and volume ratio of organic to aqueous phase are two most significant parameters. The significance level of these factors i.e. emulsification speed and volume ratio of organic to aqueous phase was statistically found as 99.7 and 99.9% respectively. A statistical model was also developed and the experimental results were compared with estimated results. The value of correlation coefficient, R2 was calculated as 0.997 indicating that the developed model fits the data very well.
Authors and Affiliations
R. F. Qureshi, K. Qureshi, I. Bhatti, Z. Khatri
Keywords
Related Articles
- EP ID EP304823
- DOI 10.22581/muet1982.1803.16
- Views 95
- Downloads 0
Exergy Analysis of a Subcritical Reheat Steam Power Plant with Regression Modeling and Optimization
In this paper, exergy analysis of a 210 MW SPP (Steam Power Plant) is performed. Firstly, the plant is modeled and validated, followed by a parametric study to show the effects of various operating parameters on the perf...
An Intelligent Service-Based Layered Architecture for eLearning and eAssessment
The rapid advancement in ICT (Information & Communication Technology) is causing a paradigm shift in eLearning domain. Traditional eLearning systems suffer from certain shortcomings like tight coupling of system componen...
Management of Scratchpad Memory Using Programming Techniques
Consuming the conventional approaches, processors are incapable to achieve effective energy reduction. In upcoming processors on-chip memory system will be the major restriction. On-chip memories are managed by the softw...
High Gain DC-DC Converter with Enhanced Adaptive MPPT for PV Applications
The increasing demand for electricity has pushed more effort to focus on renewable energy sources to satisfy the consumer. The renewable energy sources are playing a major role in the generation of electricity. Out of al...
Energy and Exergy Analysis of 210 MW Jamshoro Thermal Power Plant
In this paper, thermodynamic analysis of 210 MW dual-fire, subcritical, reheat steam power plant, situated near Jamshoro, Pakistan has been performed. Firstly, the plant is modeled by EES (Engineering Equation Solver) so...