Novel air agitated tapered adsorber for crystal violet removal on biomass combustion residue with process optimization using response surface modeling

Sandip Kumar Ghosh; Amitava Bandyopadhyay

doi:10.1016/j.jece.2017.04.042

Novel air agitated tapered adsorber for crystal violet removal on biomass combustion residue with process optimization using response surface modeling

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2017.04.042 ◽

2017 ◽

Vol 5 (3) ◽

pp. 2415-2430 ◽

Cited By ~ 2

Author(s):

Sandip Kumar Ghosh ◽

Amitava Bandyopadhyay

Keyword(s):

Response Surface ◽

Process Optimization ◽

Crystal Violet ◽

Surface Modeling ◽

Biomass Combustion ◽

Response Surface Modeling ◽

Combustion Residue

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Characterizing acidic fly ash with and without biomass combustion residue for adsorptive removal of crystal violet with optimization of mixed adsorbent by response surface modeling

Environmental Earth Sciences ◽

10.1007/s12665-016-5571-z ◽

2016 ◽

Vol 75 (9) ◽

Cited By ~ 4

Author(s):

Sandip K. Ghosh ◽

Amitava Bandyopadhyay

Keyword(s):

Fly Ash ◽

Response Surface ◽

Crystal Violet ◽

Surface Modeling ◽

Biomass Combustion ◽

Response Surface Modeling ◽

Adsorptive Removal ◽

Combustion Residue

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Crystal violet adsorption on industrial waste (hog fuel ash): equilibrium kinetics with process optimization by response surface modeling

Clean Technologies and Environmental Policy ◽

10.1007/s10098-017-1471-5 ◽

2017 ◽

Vol 20 (2) ◽

pp. 291-308 ◽

Cited By ~ 2

Author(s):

Amitava Bandyopadhyay ◽

Chandrima Choudhury

Keyword(s):

Response Surface ◽

Process Optimization ◽

Crystal Violet ◽

Industrial Waste ◽

Surface Modeling ◽

Response Surface Modeling ◽

Fuel Ash

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Optimizing adsorption of crystal violet dye from water by magnetic nanocomposite using response surface modeling approach

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2010.12.032 ◽

2011 ◽

Vol 186 (2-3) ◽

pp. 1462-1473 ◽

Cited By ~ 248

Author(s):

Kunwar P. Singh ◽

Shikha Gupta ◽

Arun K. Singh ◽

Sarita Sinha

Keyword(s):

Response Surface ◽

Crystal Violet ◽

Surface Modeling ◽

Magnetic Nanocomposite ◽

Response Surface Modeling ◽

Modeling Approach ◽

Crystal Violet Dye

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Response surface modeling and process optimization of aqueous extraction of natural pigments from Beta vulgaris using Box–Behnken design of experiments

Dyes and Pigments ◽

10.1016/j.dyepig.2014.05.028 ◽

2014 ◽

Vol 111 ◽

pp. 64-74 ◽

Cited By ~ 63

Author(s):

Gabriela John Swamy ◽

A. Sangamithra ◽

V. Chandrasekar

Keyword(s):

Design Of Experiments ◽

Response Surface ◽

Beta Vulgaris ◽

Process Optimization ◽

Surface Modeling ◽

Aqueous Extraction ◽

Response Surface Modeling ◽

Box Behnken Design ◽

Natural Pigments

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Response Surface Modeling for Pb(II) Removal From Alcoholic Beverages Using Natural Clay: Process Optimization With Box–Behnken Experimental Design and Determination by Electrothermal AAS

Atomic Spectroscopy ◽

10.46770/as.2018.06.004 ◽

2018 ◽

Vol 39 (6) ◽

pp. 242-250 ◽

Cited By ~ 2

Author(s):

Olcay Kaplan Ince ◽

Muharrem Ince ◽

Ali Onal

Keyword(s):

Experimental Design ◽

Response Surface ◽

Process Optimization ◽

Surface Modeling ◽

Alcoholic Beverages ◽

Response Surface Modeling ◽

Natural Clay ◽

Electrothermal Aas

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Response surface modeling and parameter optimization of detonation spraying with enhanced coating performance

Materials Today Proceedings ◽

10.1016/j.matpr.2020.11.867 ◽

2021 ◽

Author(s):

V.P. Haridasan ◽

A. Velayudham ◽

R. Krishnamurthy

Keyword(s):

Response Surface ◽

Parameter Optimization ◽

Surface Modeling ◽

Response Surface Modeling ◽

Detonation Spraying ◽

Coating Performance

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Response surface modeling of vibrating omega tube (Copper) electromechanical Coriolis mass flow sensor

Expert Systems with Applications ◽

10.1016/j.eswa.2011.09.149 ◽

2012 ◽

Vol 39 (4) ◽

pp. 4418-4426 ◽

Cited By ~ 6

Author(s):

Pravin P. Patil ◽

Satish C. Sharma ◽

Satish C. Jain

Keyword(s):

Response Surface ◽

Mass Flow ◽

Surface Modeling ◽

Flow Sensor ◽

Response Surface Modeling ◽

Mass Flow Sensor

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Composite Structural Optimization by Genetic Algorithm and Neural Network Response Surface Modeling

Chinese Journal of Aeronautics ◽

10.1016/s1000-9361(11)60250-1 ◽

2005 ◽

Vol 18 (4) ◽

pp. 310-316 ◽

Cited By ~ 11

Author(s):

Yuan-ming XU ◽

Shuo LI ◽

Xiao-min RONG

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Structural Optimization ◽

Response Surface ◽

Surface Modeling ◽

Response Surface Modeling ◽

Network Response

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Statistical Analysis of Laser-Welded Blanks in Deep Drawing Process: Response Surface Modeling

Journal of Materials Engineering and Performance ◽

10.1007/s11665-021-06312-z ◽

2021 ◽

Author(s):

Ahmad Aminzadeh ◽

Noushin Nasiri ◽

Noureddine Barka ◽

Ali Parvizi ◽

Karen Abrinia ◽

...

Keyword(s):

Statistical Analysis ◽

Response Surface ◽

Deep Drawing ◽

Surface Modeling ◽

Response Surface Modeling ◽

Drawing Process ◽

Deep Drawing Process

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Box-Behnken response surface modeling assisted enantiomeric resolution of some racemic β-blockers using HPTLC and β-cyclodextrin as chiral mobile phase additive: Application to check the enantiomeric purity of betaxolol

Chirality ◽

10.1002/chir.23012 ◽

2018 ◽

Vol 30 (11) ◽

pp. 1195-1205

Author(s):

Eman I. El-Kimary ◽

Marwa A.A. Ragab

Keyword(s):

Response Surface ◽

Mobile Phase ◽

Surface Modeling ◽

Enantiomeric Purity ◽

Response Surface Modeling ◽

Enantiomeric Resolution ◽

Chiral Mobile Phase Additive ◽

Mobile Phase Additive ◽

Β Blockers

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