Results 331 to 340 of about 2,474,096 (395)

Optimization of mead production using Response Surface Methodology

Food and Chemical Toxicology, 2013
The main aim of the present work was to optimize mead production using Response Surface Methodology. The effects of temperature (x₁: 20-30°C) and nutrients concentration (x₂: 60-120g /hL) on mead quality, concerning the final concentrations of glucose (Y₁), fructose (Y₂), ethanol (Y₃), glycerol (Y₄) and acetic acid (Y₅), were studied.
Gomes, Teresa, Barradas, Carla, Dias, Teresa, Andrade, João Verdial, Morais, Jorge Sá, Ramalhosa, Elsa, Estevinho, Leticia M.   +6 more
openaire   +3 more sources

Damage Identification Using Response Surface Methodology

Key Engineering Materials, 2009
As a combination of statistical and mathematical techniques, response surface methodology gives explicit functions to express the relationship between the inputs and outputs of a physical system. This methodology has been widely applied to design optimization, response prediction and model validation but so far little literature related to its ...
Sheng En Fang, Ricardo Perera
openaire   +1 more source

Optimization of myco-synthesized silver nanoparticles by response surface methodology employing Box-Behnken design

Inorganic and Nano-Metal Chemistry, 2019
The objective of current study was to optimize the average diameter size of biosynthesized Silver Nanoparticles (AgNPs) induced by Penicillium citrinum.
H. Barabadi, S. Honary, P. Ebrahimi, A. Alizadeh, F. Naghibi, M. Saravanan   +5 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, Manuel Carrera Uribe, E. Kwon, K. Lin, Young‐Kwon Park, Lu Ding, L. Saw   +6 more
semanticscholar   +1 more source

Introduction to Response-Surface Methodology

2017
Until now, we have considered how a dependent variable, yield, or response depends on specific levels of independent variables or factors. The factors could be categorical or numerical; however, we did note that they often differ in how the sum of squares for the factor is more usefully partitioned into orthogonal components.
Paul D. Berger, Robert E. Maurer, Giovana B. Celli   +2 more
openaire   +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, A. S. Abdulhameed, L. Wilson, M. Hanafiah, W. I. Nawawi, Z. Alothman, Mohammad Rizwan Khan   +6 more
semanticscholar   +1 more source

Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/TiO2 nanocomposite: application of response surface methodology

Desalination and Water Treatment, 2019
Hybrid cross-linked chitosan-glyoxal/TiO 2 nanocomposite (Chi-Gly/TNC) was prepared and employed for the adsorption of reactive orange 16 dye (RO16) from aqueous solution.
A. S. Abdulhameed, A. Mohammad, Ali H. Jawad   +2 more
semanticscholar   +1 more source

Experimental investigations and optimization of surface roughness in turning of en 36 alloy steel using response surface methodology and genetic algorithm

Materials Today: Proceedings, 2021
V. Panwar, D. Sharma, K. V. P. Kumar, Ankita Jain, C. Thakar   +4 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, Yao Wu, J. Lv, Jian Li, Xiaoyu Ou, Yujun Meng, G. Lan, Yanhui Chen, Zhiqing Zhang   +8 more
semanticscholar   +1 more source

Response Surface Methodology

Technometrics, 1973
A. R. Manson, Raymond H. Myers
openaire   +2 more sources