Optimization of preparation conditions for activated carbon from palm oil fronds using response surface methodology on removal of pesticides from aqueous solution

Salman, Jasim M.

doi:10.1016/j.arabjc.2013.05.033

Cited by 113 publications

(34 citation statements)

References 19 publications

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“…The p-values of linear, square, and interaction regressions were 0.000, 0.000, and 0.001, respectively. Together, these findings indicate that the new model (eq 3) adequately fit the experimental data (Salman 2014). …”

Section: Statistical Analysis and Model Fittingmentioning

confidence: 77%

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al₂O₃ catalysts

Sriprom

Neramittagapong

Lin

et al. 2015

Journal of the Air & Waste Management Association

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Catalytic wet-air oxidation (CWAO) has been used as an alternative to overcome problems related to the high temperatures and pressures required by the traditional wet-air oxidation. CWAO has been widely applied to treat various industrial wastewaters. To reduce the overall operational cost, it is necessary to identify the optimal condition required when designing wastewater treatment plant processes. In this work, the authors had successfully demonstrated the application of response surface methodology (RSM) with the Box-Behnken design (BBD) as a means of elucidating the complicated interaction effects between parameters.

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Section: Statistical Analysis and Model Fittingmentioning

confidence: 77%

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al₂O₃ catalysts

Sriprom

Neramittagapong

Lin

et al. 2015

Journal of the Air & Waste Management Association

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“…The error convergence (0.0004) occurs at approximately 6238 iterations. The error is defined in equations (6) and (7). The error value between the output of the network (d j ) and the actual value (y j ) is used.…”

Section: Generation Of Response Surface Using Nrsmmentioning

confidence: 99%

“…These approximation models represent the relationship between inputs and outputs. The RSM is used to predict the system performance [3,4,5], but the method produces some errors in highly nonlinear problems [6,7,8].…”

Section: Introductionmentioning

confidence: 99%

A Study on a Multi-Objective Optimization Method Based on Neuro-Response Surface Method (NRSM)

Lee

Jeong

Kharoufi

et al. 2016

MATEC Web of Conferences

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Abstract. The geometry of systems including the marine engineering problems needs to be optimized in the initial design stage. However, the performance analysis using commercial code is generally time-consuming. To solve this problem, many engineers perform the optimization process using the response surface method (RSM) to predict the system performance, but RSM presents some prediction errors for nonlinear systems. The major objective of this research is to establish an optimal design framework. The framework is composed of three parts: definition of geometry, generation of response surface, and optimization process. To reduce the time for performance analysis and minimize the prediction errors, the response surface is generated using the artificial neural network (ANN) which is considered as NRSM. The optimization process is done for the generated response surface by non-dominated sorting genetic algorithm-II (NSGA-II). Through case study of a derrick structure, we have confirmed the proposed framework applicability. In the future, we will try to apply the constructed framework to multi-objective optimization problems.

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“…It is not necessary in the modeling procedure to know the detailed reaction mechanism since the mathematical model is empirical. Generally, the CCD consists of a 2 n factorial runs with 2n axial runs and n c center runs [10]. These designs consist of a 2 n factorial or fractional (coded to the usual ±1 notation) augmented by 2n axial points (±α,0,0,..., 0), (0, ±α,0,...,0),..., (0, 0, ...,±α), and n c center points (0, 0, 0, ...,0) [11][12].…”

Section: Ii4 Multivariate Experimental Designmentioning

confidence: 99%

Optimization of conditions for the preparation of new adsorbent material from residues of marine algae applying a response surface methodology

Tarbaoui¹,

Oumam²,

Fakhfakh³

et al. 2014

IOSRJAC

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Optimization of preparation conditions for activated carbon from palm oil fronds using response surface methodology on removal of pesticides from aqueous solution

Cited by 113 publications

References 19 publications

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al₂O₃ catalysts

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al₂O₃ catalysts

A Study on a Multi-Objective Optimization Method Based on Neuro-Response Surface Method (NRSM)

Optimization of conditions for the preparation of new adsorbent material from residues of marine algae applying a response surface methodology

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Optimization of preparation conditions for activated carbon from palm oil fronds using response surface methodology on removal of pesticides from aqueous solution

Cited by 113 publications

References 19 publications

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al2O3 catalysts

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al2O3 catalysts

A Study on a Multi-Objective Optimization Method Based on Neuro-Response Surface Method (NRSM)

Optimization of conditions for the preparation of new adsorbent material from residues of marine algae applying a response surface methodology

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Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al₂O₃ catalysts

Optimizing chemical oxygen demand removal from synthesized wastewater containing lignin by catalytic wet-air oxidation over CuO/Al₂O₃ catalysts