In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, …

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] …

Response surface plots 3D response surface curves were plotted to examine the interaction of the variables and to determine the optimum level of each variable for maximum response [32]. For the permeate flux, the response surface is plotted using the regression model equation (Eq. (9)).

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 ...

Response surface methodology has been used as the optimization strategy. For the study and modeling of the challenges, this approach employs a number of mathematical and statistical tools.RSM is utilized to build a model among independent and dependent variables in order to determine the impact of the parameters on the …

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 …

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 …

This study systematically investigated three influential factors—water-to-binder ratio, cement/sand ratio, and steel fiber content—that significantly impact the …

Application of response surface methodology (RSM) for analyzing and modeling of nitrification process using sequencing batch reactors Seyyed Alireza Mousavi, a [email protected] Shaliza Ibrahim, b [email protected] a Department of Environmental Health Engineering, Kermanshah University of Medical Sciences, Kermanshah, Iran, …

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 ...

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 …

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 …

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 …

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 …

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 …

Response surface methodology (RSM) is a technique widely used to optimize various processes. This review presents the state-of-the-art applications of …

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 …

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 ...

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 …

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 …

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 response of interest is influenced by several variables and the objective is to optimize the response [4, 5]. The RSM was initially developed and described by Box and coworkers in the ...

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 …

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 …

The response surface methodology (RSM) was used to study the three-dimensional response plots, which were generated from the effects of the three variables on ash reduction from low-grade coal by HF acid leaching. ... Response surface modeling and optimization of chromium (VI) removal from aqueous solution using Tamarind wood …

In this study, a fourth order response surface (RS) model for predicting surface roughness values in milling the mold surfaces made of Aluminum (7075-T6) material is developed. In generating the RS model statistical response surface methodology (RSM) is utilized. The accuracy of the RS model is verified with the …

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.

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 …

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 …

In this study, 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 multi-gravity separator (MGS) for chromite concentration is discussed. Three MGS operating variables, namely drum …

In this work, response surface methodology (RSM) was applied for modeling and optimization of operating parameters for water desalination by direct contact membrane distillation (DCMD) process using polypropylene membrane (PP) with low pore size. Operating parameters including vapor pressure difference, feed flow rate, …