• investigation of colloidal biogenic sulfur flocculation

    Investigation of colloidal biogenic sulfur flocculation

    A response surface plot was used to determine S 0 flocculation by PAC, PAM and MBF over interactive variables pH and stirring intensity . The two dimensional contour plots are shown in Fig. 6 . As shown in Fig. 5,the flocculation of S 0 increased in the PAC case as the pH increased up to 4.6–4.9 and then decreased as the pH continued to increase.

  • optimization of coagulation–flocculation process

    Optimization of coagulation–flocculation process

    Optimization of coagulation–flocculation process for papermaking-reconstituted tobacco slice wastewater treatment using response surface methodology Author links open overlay panel Yufeng Wang a b Kefu Chen a b Lihuan Mo a b Jun Li a b Jun Xu a b

  • optimization of coagulation−flocculation process for palm

    Optimization of Coagulation−Flocculation Process for Palm

    The pretreated POME with low turbidity values and high water recovery are the main objectives to be achieved through the coagulation−flocculation process. Therefore, treatment optimization to serve these purposes was performed using jar tests and applying a response surface methodology (RSM) to the results. A 23 full-factorial central

  • optimization of coagulation−flocculation process for palm

    Optimization of Coagulation−Flocculation Process for Palm

    The pretreated POME with low turbidity values and high water recovery are the main objectives to be achieved through the coagulation−flocculation process. Therefore, treatment optimization to serve these purposes was performed using jar tests and applying a response surface

  • optimization of coagulation–flocculation process for a

    Optimization of coagulation–flocculation process for a

    2007-07-20· A coagulation–flocculation process was used to treat a paper-recycling wastewater with aluminum chloride as coagulant and a modified natural polymer, chitosan-g-PDMC (poly(2-methacryloyloxyethyl) trimethyl ammonium chloride), as flocculant.To minimize turbidity and sludge volume index (SVI), the experiments were carried out using jar tests and response surface

  • optimization of flocculation process by response surface

    Optimization of flocculation process by response surface

    Optimization of flocculation process by response surface methodology for diethyl phthalate removal using anionic polyacrylamide Article in Desalination and water treatment 52(28-30) · August 2014

  • response surface methodology approach to optimization

    Response surface methodology approach to optimization

    Statistical modeling and optimization of coagulation process of surface water were carried out in this study. The effects of settling time, agitation time, and agitation speed and MOSE conc on the turbidity of the surface water were studied using Response Surface Methodology (RSM). It was established that settling time, agitation speed and MOSE

  • optimization of coagulation-flocculation process

    OPTIMIZATION OF COAGULATION-FLOCCULATION PROCESS

    Optimization of coagulation-flocculation process with aluminum sulfate based on response () 79 collection of tools in design or data analysis that enhance the exploration of a region of design variables in one ore more dimensions” [3]. Building a mathematical model based upon RSM is

  • optimization of coagulation–flocculation process for a

    Optimization of Coagulation–Flocculation Process for a

    Response surface methodology (RSM) was used to optimize the coagulation and flocculation process of partially stabilized leachate. Central composite design a standard design tool in RSM was

  • coagulation/flocculation process for dye removal using

    Coagulation/Flocculation Process for Dye Removal Using

    The optimization of critical variables in the MISPE process was done using the central composite design (CCD) of the response surface methodology. Results: Quadratic regressional models were

  • optimization of coagulation–flocculation process

    Optimization of coagulation–flocculation process

    This paper compares performance of alum, polyaluminum chloride (PAC), and polelectrolyts (PE) as coagulants to remove suspended solids from wastewater of medium density fiberboard (MDF) manufacture. Response surface methodology was used to optimize coagulation–flocculation (CF) process of MDF wastewater. In the treatments with alum, results

  • optimization of coagulation−flocculation process

    Optimization of Coagulation−Flocculation Process

    Optimization of Coagulation−Flocculation Process for Palm Oil Mill Effluent Using Response Surface Methodology

  • optimization of flocculation process by response

    Optimization of flocculation process by response

    Optimization of flocculation process by response surface methodology for diethyl phthalate removal using anionic polyacrylamide Article (PDF Available) in

  • optimization of the coagulation-flocculation process

    Optimization of the coagulation-flocculation process

    optimization of these factors could significantly increase its treatment efficiency. Response surface methodology (RSM) is an efficient way to achieve such an optimization by analyzing and modeling the effects of multiple variables and their responses and finally optimizing the process. This method has been widely used for

  • optimization of coagulation–flocculation process for a

    Optimization of coagulation–flocculation process for a

    2007-07-20· A coagulation–flocculation process was used to treat a paper-recycling wastewater with aluminum chloride as coagulant and a modified natural polymer, chitosan-g-PDMC (poly(2-methacryloyloxyethyl) trimethyl ammonium chloride), as flocculant.To minimize turbidity and sludge volume index (SVI), the experiments were carried out using jar tests and response surface

  • optimization of coagulation-flocculation process

    Optimization of Coagulation-Flocculation Process

    2019-05-12· Landfill leachate is highly polluted and generated as a result of water infiltration through solid waste produced domestically and industrially. This study investigated the applicability of the response surface methodology (RSM) to optimize the removal performances of chemical oxygen demand (COD), color, and suspended solids (SS) from landfill leachate by coagulation process using

  • optimization of coagulation-flocculation process

    Optimization of coagulation-flocculation process

    2005-04-15· Optimization of coagulation-flocculation process for palm oil mill effluent using response surface methodology. Ahmad AL(1), Ismail S, Bhatia S. Author information: (1)School of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia. [email protected]

  • optimization of flocculation of marine chlorella sp.

    Optimization of Flocculation of Marine Chlorella sp.

    Optimization of Flocculation of Marine Chlorella sp. by Response Surface Methodology Naruetsawan Sanyano1*, Pakamas Chetpattananondh 1, Sininart Chongkhong 1 1 Department of Chemical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, 90112, Thailand *e-mail: [email protected]

  • investigation of colloidal biogenic sulfur flocculation

    Investigation of colloidal biogenic sulfur flocculation

    A response surface plot was used to determine S 0 flocculation by PAC, PAM and MBF over interactive variables pH and stirring intensity . The two dimensional contour plots are shown in Fig. 6 . As shown in Fig. 5,the flocculation of S 0 increased in the PAC case as the pH increased up to 4.6–4.9 and then decreased as the pH continued to increase.

  • optimization of hybrid coagulation-ultrafiltration process

    Optimization of hybrid coagulation-ultrafiltration process

    In recent years, response surface methodology (RSM) has become very popular for simultaneous optimization and modelling of chemical processes (Bas & Boyaci 2007; Bezerra et al. 2008). RSM is a collection of statistical and mathematical techniques used to predict and optimize a response or set of responses of interest by adjusting several

  • optimization of coagulation-flocculation process

    Optimization of Coagulation-Flocculation Process

    Optimization of Coagulation-Flocculation Process of Landfill Leachate by Tin (IV) Chloride Using Response Surface Methodology Abdul Aziz Hamidi 1,2*, Syed Zainal Sharifah Farah Fariza1, Alazaiza Motasem Y.D. 3 1School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia

  • optimization of coagulation-flocculation process

    Optimization of coagulation-flocculation process

    appropriate approach for the optimization of the coagulation–flocculation process by confirmation experiments. Key. words: P. rinting ink industry effluent, chemical oxygen demand (COD) removal, response surface methodology, coagulation-flocculation process. INTRODUCTION. With the rapid development of industries in Tunisia, the

  • flocculation optimization of orthophosphate with fecl3

    Flocculation Optimization of Orthophosphate with FeCl3

    2017-03-06· A coagulation–flocculation process was employed to remove orthophosphate (Pi) in aqueous media using a ferric chloride (FeCl3) and alginate flocculant system. Jar tests were conducted, and the response surface methodology (RSM) was used to optimize the Pi removal variables. The Box–Behnken design was used to evaluate the effects and interactions of four independent variables:

  • optimization of coagulation-flocculation process

    Optimization of coagulation-flocculation process

    The pretreated POME with low turbidity values and high water recovery are the main objectives to be achieved through the coagulation-flocculation process. Therefore, treatment optimization to serve these purposes was performed using jar tests and applying a response surface methodology (RSM) to the results. A 2(3) full-factorial central

  • optimization of flocculation conditions for botryococcus

    Optimization of flocculation conditions for Botryococcus

    Response surface methodology (RSM) was used to further investigate the optimal conditions for these factors on flocculation of Botryococcus braunii. Analysis of variance and other relevant tests confirmed the validity of the suggested model.

  • optimization of coagulation–flocculation process for a

    Optimization of coagulation–flocculation process for a

    2007-07-20· Read "Optimization of coagulation–flocculation process for a paper-recycling wastewater treatment using response surface methodology, Colloids and Surfaces A: Physicochemical and Engineering Aspects" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

  • optimization of the coagulation / flocculation

    Optimization of the coagulation / flocculation

    Optimization of the coagulation / flocculation of wastewater from oil refineries use of Response Surface Methodology H. Oubrayme 1,2 *, S. Souabi 2, M .Bouhria 1, M. Tahiri 3,S. Alami younssi 1, A. Albizane1 1.Laboratory of Materials Membranes and Environment, Department of Chemistry, Faculty of Science and Technology of

  • optimization of flocculation process by response

    Optimization of flocculation process by response

    Diethyl phthalate (DEP) are classified as endocrine disruptors in water. In the present study, response surface methodology (RSM) was employed for flocculation process optimization in

  • optimization of flocculation process by response

    Optimization of flocculation process by response

    Published online: 17 June 2013 In the original online version of the article ‘Optimization of flocculation process by response surface methodology for diethyl phthalate removal using anionic polyacrylamide’ (DOI: 10.1080/19443994.2013.807476), the author Huaili Zheng’s name was appeared as “Huaili L. Zheng.” This has now been

  • process optimization via response surface methodology

    Process optimization via response surface methodology

    The process optimization was conducted in two steps, jar test experiments for preliminary evaluation to identify the most influencing factors and response surface methodology using Box–Behnken design to investigate the effects of three major factors and their interactions.

  • water free full-text modeling and optimization of new

    Water Free Full-Text Modeling and Optimization of New

    Response surface methodology (RSM), involving central composite design (CCD) matrix with two of the most important operating variables in the flocculation process; hybrid copolymer dosage and pH were utilized for the study and for the optimization of the wastewater treatment process. Response surface analyses showed that the experimental data

  • optimization of coagulation-flocculation process

    OPTIMIZATION OF COAGULATION-FLOCCULATION PROCESS

    multiple responses studied. The response surface approach was appropriate for optimizing the coagulation-flocculation process while minimizing the number of experiments. Coagulants studied should be considered as an alternative for conventional coagulants that are widely used in dye wastewater treatment plants. Keywords: Coagulation

  • optimization of flocculation process by response

    Optimization of flocculation process by response

    Published online: 17 June 2013 In the original online version of the article ‘Optimization of flocculation process by response surface methodology for diethyl phthalate removal using anionic polyacrylamide’ (DOI: 10.1080/19443994.2013.807476), the author Huaili Zheng’s name was appeared as “Huaili L. Zheng.” This has now been

  • optimization of coagulation-flocculation process

    Optimization of coagulation-flocculation process

    coagulation-flocculation process of a pasta industry wastewater and to investigate the interactive effects of experimental factors, including coagulant dosage, flocculant dosage and pH. The response surface methodology (RSM) using a central composite design (CCD) is selected for the optimization. MATERIALS AND METHODS

  • optimization of coagulation–flocculation process

    Optimization of coagulation–flocculation process

    (2016). Optimization of coagulation–flocculation process for combined sewer overflow wastewater treatment using response surface methodology. Desalination and Water Treatment: Vol. 57,

  • flocculation optimization of orthophosphate with fecl3

    Flocculation Optimization of Orthophosphate with FeCl3

    2017-03-06· A coagulation–flocculation process was employed to remove orthophosphate (Pi) in aqueous media using a ferric chloride (FeCl3) and alginate flocculant system. Jar tests were conducted, and the response surface methodology (RSM) was used to optimize the Pi removal variables. The Box–Behnken design was used to evaluate the effects and interactions of four independent variables:

  • coagulation–flocculation process for landfill leachate

    Coagulation–flocculation process for landfill leachate

    (2016). Coagulation–flocculation process for landfill leachate pretreatment and optimization with response surface methodology. Desalination and Water Treatment: Vol. 57, No. 31, pp. 14488-14495.

  • optimization and modeling of coagulation-flocculation

    Optimization and modeling of coagulation-flocculation

    2019-10-13· Optimization of coagulation-flocculation process for a paper-recycling wastewater treatment using response surface methodology. Colloids and Surfaces. A, Physicochemical and Engineering Aspects, 302(1–3): 204–210

  • optimization and modeling of coagulation-flocculation to

    Optimization and modeling of coagulation-flocculation to

    Optimization and modeling of coagulation-flocculation to remove algae and organic matter from surface water by response surface methodology: Ziming Zhao 1, 2, Wenjun Sun 1, 3 (), Madhumita B. Ray 2, Ajay K Ray 2, Tianyin Huang 4, Jiabin Chen 4: 1.

  • optimal evaluation of coag-flocculation factors for alum

    Optimal Evaluation of Coag-Flocculation Factors for Alum

    removal efficiency. RSM has demonstrated to be appropriate approach for the optimization of the coag-flocculation process by statistical evaluation. Keywords: Coag-flocculation, Brewery effluent, Alum, Response surface methodology, Central composite design

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