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Response surface methodology

WIREs Computational Statistics, 2010
AbstractThe purpose of this article is to provide a survey of the various stages in the development of response surface methodology (RSM). The coverage of these stages is organized in three parts that describe the evolution of RSM since its introduction in the early 1950s.
A. I. Khuri
semanticscholar   +2 more sources

Application of response surface methodology in physicochemical removal of dyes from wastewater: A critical review.

Science of the Total Environment, 2018
Response surface methodology (RSM) is a powerful tool in designing the experiments and optimizing different environmental processes. However, when it comes to wastewater treatment and specifically dye-containing wastewater, two questions arise; "Is RSM ...
S. Karimifard, M. R. Alavi Moghaddam
semanticscholar   +1 more source

Process parameter optimization of biodiesel production from algal oil by response surface methodology and artificial neural networks

, 2020
Biodiesel production from algae oil at low temperature as well as a comparative study of response surface methodology (RSM) and artificial neural networks (ANN) for the modeling of yield and process parameters was carried out in this research work.
A. Garg, Siddharth Jain
semanticscholar   +1 more source

Optimization of ultrasound-assisted extraction of Moringa peregrina oil with response surface methodology and comparison with Soxhlet method

Industrial crops and products (Print), 2019
In this paper, ultrasound-assisted extraction (UAE) of oil from Moringa peregrina seeds was studied and compared with the Soxhlet method. Based on the response surface methodology (RSM), the extraction process variables such as liquid-to solid ratio ...
Hossein Mohammadpour   +3 more
semanticscholar   +1 more source

Optimization on cleaner intensification of ozone production using Artificial Neural Network and Response Surface Methodology: Parametric and comparative study

, 2020
Non-thermal microplasma is a promising technology for efficient ozone generation for water sterilization. However, there remains a niche to improve the energy efficiency of the production process.
A. Hafeez   +10 more
semanticscholar   +1 more source

A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM)

Renewable & Sustainable Energy Reviews, 2022
Wei-hsin Chen   +6 more
semanticscholar   +1 more source

Application of response surface methodology for enhanced synthesis of chitosan tripolyphosphate/TiO2 nanocomposite and adsorption of reactive orange 16 dye

Journal of Cleaner Production, 2019
In this work, Box–Behnken design (BBD) in response surface methodology (RSM) was applied to optimize the synthesis condition of crosslinked chitosan-tripolyphosphate/TiO2 nanocompsite (CCTPP/TiO2 NC) as well as the adsorption conditions of reactive ...
A. S. Abdulhameed   +2 more
semanticscholar   +1 more source

Fabrication of Schiff’s Base Chitosan-Glutaraldehyde/Activated Charcoal Composite for Cationic Dye Removal: Optimization Using Response Surface Methodology

Journal of Polymers and the Environment, 2021
Ali H. Jawad   +6 more
semanticscholar   +1 more source

Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology

Energy, 2022
Dongli Tan   +8 more
semanticscholar   +1 more source

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