Application of response surface methodology for modeling …
Statistical analysis based on the model fit and stability was performed to discriminate six kinetic models. The response surface methodology was used for the identification and development of significant relationship between process variables. Statistical analysis indicated that the modified Kelsall model was the optimal kinetic …
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Application of Response Surface Methodology (RSM) for …
The statistical model was verified with the analysis of variance (ANOVA) for the response surface quadratic model. The reduced quadratic model showed that the predicted values were in agreement with those obtained experimentally, as well as the fact that the concentrations and proportions of the carriers had a significant influence on the …
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Application of response surface methodology for predicting weld …
The response surface methodology (RSM) is a set of techniques that encompasses [1]: (i) the designing of a set of experiments for adequate and reliable measurement of the true mean response of interest; (ii) the determining of mathematical model with best fits; (iii) finding the optimum set of experimental factors that produces …
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Application of response surface methodology for hazard analysis …
Response surface methodology involves the exploration of relationships between explanatory variables (reaction conditions) and the response variable (heat release amount) by using statistical models (Cheng et al., 2014). This methodology is utilized in a number of process safety applications, which can include identifying optimal …
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Application of Response Surface Methodology for Modeling …
Response surface methodology (RSM) is a collection of mathematical and statistical techniques that are useful for the modeling and analysis of problems in which a …
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An experimental investigation and response surface methodology …
The Response Surface Method (RSM) is a well-known statistical method, providing satisfactory results when used to determine the quantity of the variables used in concrete. The applicability of this method in determining the optimum mixture and evaluation of impact of each of the variables has been confirmed in several studies [ [16] …
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Application of Response Surface Methodology For Modeling …
Cactus has shown great capabilities as a bio coagulant/flocculent in the treatment of wastewater and as a factor for sustainable development of the environment, due to its abundance and non-toxicity for human health. This has encouraged the present study based on the design of experiments to optimize the two operating factors: the bio …
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Application of response surface methodology and central …
This study discussed the application of response surface methodology (RSM) and central composite rotatable design (CCRD) for modeling and optimization of the influence of some operating variables on the performance of a lab scale thickener for dewatering of tailing in the flotation circuit.Four thickener operating variables, namely …
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Application of Box–Behnken design and response surface …
The Box–Behnken experimental design and response surface methodology were applied for modeling the influence of some variables on the …
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Response surface methodology for modeling the …
Experimentally determined optimization and Response Surface Methodology (RSM) were used to simulate and interpret the adsorption of phenol onto PET MPs, to determine the effects of four adsorption factors (contact-time, initial concentration, pH, and temperature) on the response (removal efficiency) using central composite …
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Application of Response Surface Methodology for …
The linear and nonlinear modeling of green sand mould - system [19] and cement-bonded sand mould system [20] was carried out by Parappagoudar et al. by utilizing statistical regression analysis. Moreover, statistical modeling of green sand mould using response surface methodology was reported in [21]. The statistical regression models ...
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Application of response surface methodology and central …
In order to gain a better understanding of the three variables for optimal MGS performance, the models were presented as 3-D response surface graphs. The models allow confident performance prediction by interpolation over the range of data in the database, it was used to construct response surface graphs (Fig. 4, Fig. 5, Fig. 6, Fig. …
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Application of response surface methodology for …
application for the DCMD modelling of the model, comparing its experimental number runs, inde-pendent input number, model levels, and accuracy for optimising the DCMD process using RSM. Keywords: Response surface methodology; Membrane distillation; Desalination; Direct contact membrane distillation; Modelling 1. Introduction
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A hybrid approach of Taguchi-Response Surface Methodology for modeling
The hybrid approach of Taguchi Methodology-Response Surface Methodology (TM-RSM) has been applied due to their potential for modeling and optimization of complex machining process. ... Singh and Rao [9] developed the RSM model to predict surface roughness during hard turning of the bearing steel. They …
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Application of response surface methodology for prediction and modeling
This study was conducted to investigate the synergistic effects of cutting parameters on surface roughness in ball end milling of oxygen-free high conductivity (OFHC) copper and to determine a statistical model that can suitably correlate the experimental results. Firstly, an experimental plan based on a full factorial rotatable …
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Application of Response Surface Methodology in Food Process Modeling
Modeling and optimization is an important task in food manufacturing. It enables one to understand and describe processes which in turn help establish quantified relationship between input and output variables. Modeling and optimization help to make informed decision on a process with the objective of improving efficiency and minimizing …
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Applications of Response Surface Methodology in the Food …
Response surface methodology (RSM) is a technique widely used to optimize various processes. This review presents the state-of-the-art applications of …
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Response Surface Methodology
Response surface methodology (RSM) is the statistical and mathematical technique that lays its foundation of quality in any experiment and it aims to optimize the response. RSM is mainly used …
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Exploiting response surface methodology for experimental modeling …
Exploiting response surface methodology for experimental modeling and optimization of CO 2 adsorption onto NaOH-modified nanoclay montmorillonite. ... adsorption by K−HAS. The results show that the pseudo−second−order model and the Langmuir adsorption isotherm model can better describe the adsorption behavior of …
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Application of response surface methodology for modeling …
Statistical analysis based on the model fit and stability was performed to discriminate six kinetic models. The response surface methodology was used for the identification and development of ...
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(PDF) Applications of Response Surface …
Abstract In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, Engineers, Technologists and ...
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Application of artificial neural network (ANN) and response surface
In this paper, a novel method for modeling and optimization of the contact angle of rice leaf surfaces by comparing the analytical result of the artificial neural network (ANN) and response surface methodology (RSM), to minimize the contact angle of the rice leaf surfaces. Three factors and three levels Box-Behnken design was used to …
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An experimental investigation and modeling approach of response surface
An experimental investigation and modeling approach of response surface methodology coupled with crow search algorithm for optimizing the properties of jute fiber reinforced concrete ... Application of Box-Behnken design and response surface methodology for modeling of some Turkish coals. Fuel, 86 (2007), pp. 90-97, …
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Application of Box-Behnken Design and Response Surface Methodology …
The response surface methodology (RSM) using the Box-Behnken experimental model was employed to design the cold sizing process efficiency. A total of 15 runs were carried out with combination of different levels of variables, which included 3 replications of center points and 12 unique runs.
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Application of response surface methodology for optimization …
Response surface methodology (RSM) is an alternate statistical approach, to OVAT (one variable at a time), and could represent the effect of interaction between different factors. ... The response model is mapped against two experimental factors while the third is held constant at its central level. Fig. 6 a depicts the interactive …
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Application of response surface methodology for …
The central composite design is the most commonly used fractional factorial design used in the response surface model. In this design, the center points are augmented with a group of axial points ...
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Application of Response Surface Methodology for Modeling …
This research studied the application of the response surface methodology (RSM) and central composite design (CCD) experiment in mathematical model and optimizes postweld heat treatment (PWHT). The material of study is a pressure vessel steel ASTM A516 grade 70 that is used for gas metal arc welding …
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Artificial neural network and response surface methodology for modeling
Artificial neural network and response surface methodology modeling in mass transfer parameters predictions during osmotic dehydration of Carica papaya L. Alexandria Eng. J., 52 (3) (2013), pp. 507-516, 10.1016/j.aej.2013.06.007. Google Scholar. Mohamed et al., 2016.
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Application of response surface methodology for …
Application of response surface methodology for modelling the enzymatic assay of hydrogen peroxide by Emerson–Trinder reaction using 4-iodophenol. ... Using 4-iodophenol as a hydrogen donor in this reaction, the quality of the generated second-order polynomial response model equation was checked by the …
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Application of Box–Behnken design and response surface methodology …
The Box–Behnken experimental design and response surface methodology were applied for modeling the influence of some variables on the performance of coal flotation. Flotation experiments were designed and executed by a laboratory flotation machine, considering collector dosage, frother dosage, and stirring …
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