Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater

Batik Palembang wastewater is characterized by high levels Natural Organic Matter (NOM) concentration. In order to reuse the wastewater, removal of NOM and contaminants is necessary. To improve the performance of NOM removal processes we need to optimize the flux of membrane produced. Majority of th...

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Main Authors: Herdiansyah, M. I., Yuliwati, E., Mahyudin, Mahyudin, Ismail, A. F.
Format: Article
Published: Medwell Journals 2017
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Online Access:http://eprints.utm.my/id/eprint/80677/
http://medwelljournals.com/abstract/?doi=jeasci.2017.797.802
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spelling my.utm.806772019-06-27T06:15:19Z http://eprints.utm.my/id/eprint/80677/ Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater Herdiansyah, M. I. Yuliwati, E. Mahyudin, Mahyudin Ismail, A. F. TP Chemical technology Batik Palembang wastewater is characterized by high levels Natural Organic Matter (NOM) concentration. In order to reuse the wastewater, removal of NOM and contaminants is necessary. To improve the performance of NOM removal processes we need to optimize the flux of membrane produced. Majority of the wastewater treatment processes are multi-variable and optimization through the classical method is inflexible, unreliable and time-consuming. In this study, we employ Response Surface Methodology (RSM) to optimize and analyze the effect of independent factors, namely polymer concentration (x1), additive 1 concentration (x2) and dope temperature (x3) on a treatment process to obtain the maximum removal NOM. RSM 2 3 had already emerged as a tool of optimization analysis on the industry scale. Various statistical and mathematical assumptions inherent in this method and is an advantage and shortcomings in its practical application excellence. In order to fulfil the environment standardization of wastewater based on Minister Regulation No. 5/2014, the membrane was produced in optimum composition to achieve the maximum output. We use a full factorial design and Central Composite Design (CCD) of RSM to determine the significant variables and optimum condition for hybrid process of coagulation-UF membrane with respect to NOM removal and flux. Statistical analysis of full factorial design showed that the main effect of three independent factors contributed significantly. Optimum condition was achieved and showed the maximum flux of 198.82 L m3/h and NOM removal of 90.32%. Medwell Journals 2017 Article PeerReviewed Herdiansyah, M. I. and Yuliwati, E. and Mahyudin, Mahyudin and Ismail, A. F. (2017) Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater. Journal of Engineering and Applied Sciences, 12 (4). pp. 797-802. ISSN 1816-949X http://medwelljournals.com/abstract/?doi=jeasci.2017.797.802 DOI:10.3923/jeasci.2017.797.802
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Herdiansyah, M. I.
Yuliwati, E.
Mahyudin, Mahyudin
Ismail, A. F.
Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater
description Batik Palembang wastewater is characterized by high levels Natural Organic Matter (NOM) concentration. In order to reuse the wastewater, removal of NOM and contaminants is necessary. To improve the performance of NOM removal processes we need to optimize the flux of membrane produced. Majority of the wastewater treatment processes are multi-variable and optimization through the classical method is inflexible, unreliable and time-consuming. In this study, we employ Response Surface Methodology (RSM) to optimize and analyze the effect of independent factors, namely polymer concentration (x1), additive 1 concentration (x2) and dope temperature (x3) on a treatment process to obtain the maximum removal NOM. RSM 2 3 had already emerged as a tool of optimization analysis on the industry scale. Various statistical and mathematical assumptions inherent in this method and is an advantage and shortcomings in its practical application excellence. In order to fulfil the environment standardization of wastewater based on Minister Regulation No. 5/2014, the membrane was produced in optimum composition to achieve the maximum output. We use a full factorial design and Central Composite Design (CCD) of RSM to determine the significant variables and optimum condition for hybrid process of coagulation-UF membrane with respect to NOM removal and flux. Statistical analysis of full factorial design showed that the main effect of three independent factors contributed significantly. Optimum condition was achieved and showed the maximum flux of 198.82 L m3/h and NOM removal of 90.32%.
format Article
author Herdiansyah, M. I.
Yuliwati, E.
Mahyudin, Mahyudin
Ismail, A. F.
author_facet Herdiansyah, M. I.
Yuliwati, E.
Mahyudin, Mahyudin
Ismail, A. F.
author_sort Herdiansyah, M. I.
title Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater
title_short Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater
title_full Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater
title_fullStr Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater
title_full_unstemmed Mathematical model of optimum composition on membrane fabrication parameters for treating batik Palembang wastewater
title_sort mathematical model of optimum composition on membrane fabrication parameters for treating batik palembang wastewater
publisher Medwell Journals
publishDate 2017
url http://eprints.utm.my/id/eprint/80677/
http://medwelljournals.com/abstract/?doi=jeasci.2017.797.802
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score 13.214268