Results 11 to 20 of about 2,474,096 (395)

A sensitivity analysis of MHD nanofluid flow across an exponentially stretched surface with non-uniform heat flux by response surface methodology

open access: yesScientific Reports, 2022
The current study investigates the MHD flow of nanofluid across an elongating surface while taking into account non-uniform heat flux. For this, we have considered the flow of a boundary layer over a stretched sheet containing (water-based) Al2O3 ...
Shahid Hussain   +5 more
semanticscholar   +1 more source

OPTIMIZATION OF DIFFERENT CHEMICAL PROCESSES USING RESPONSE SURFACE METHODOLOGY- A REVIEW

open access: yesJournal of Engineering and Sustainable Development, 2022
Several chemical and biological processes have been investigated and predicted using Response Surface Methodology (RSM) models. Response Surfaces Methodology is a useful instrument for designing laboratory-scale experiments that optimize and support the ...
Hiba Zaid   +3 more
semanticscholar   +1 more source

Response Surface Methodology [PDF]

open access: yesSSRN Electronic Journal, 2014
This chapter first summarizes Response Surface Methodology (RSM), which started with Box and Wilson’s 1951 article on RSM for real, non-simulated systems. RSM is a stepwise heuristic that uses first-order polynomials to approximate the response surface locally.
openaire   +3 more sources

Response Surface Methodology for Optimization Membrane Disruption Using Thermolysis in Lipase Lk2 and Lk3

open access: yesJournal of Pure and Applied Microbiology, 2022
Lk2 and Lk3 were thermostable recombinant lipase and highly expressed in Escherichia coli BL21 (DE3). However, Lk2 and Lk3 accumulated as an inclusion body. To further characterize both recombinant lipases, the soluble enzyme must be obtained first. This
Titin Haryati   +3 more
doaj   +1 more source

Application of response surface methodology to stiffened panel optimization [PDF]

open access: yes, 2006
In a multilevel optimization frame, the use of surrogate models to approximate optimization constraints allows great time saving. Among available metamodelling techniques we chose to use Neural Networks to perform regression of static mechanical criteria,
Grihon, Stéphane   +2 more
core   +1 more source

Application of Response Surface Methodology for Optimizing the Therapeutic Activity of ZnO Nanoparticles Biosynthesized from Aspergillus niger

open access: yesBiomimetics, 2021
In this study, the biosynthesis of zinc oxide nanoparticles using Aspergillus niger (A/ZnO-NPs) is described. These particles have been characterized by UV–Vis spectrum analysis, X-ray powder diffraction, field emission scanning electron microscopy, and ...
A. Es‐haghi   +6 more
semanticscholar   +1 more source

Response Surface Methodology Study on Magnetite Nanoparticle Formation under Hydrothermal Conditions

open access: yesNanomaterials and Nanotechnology, 2015
In a hydrothermal preparation of crystalline magnetite (Fe3O4) nanoparticles, the influence of the experimental parameters (initial molar ratio of ferrous/ferric ions, initial concentration of ferrous ions, and heating time), and their interactions, on ...
Naoya Mizutani   +2 more
doaj   +1 more source

Mead fermentation parameters: Optimization by response surface methodology

open access: yesFoods and Raw Materials, 2022
Introduction. This article presents the development of mathematical models related to the effect of the initial content of dry matter, yeast, and yeast energizer on the fermentation rate, the alcohol content, and the dry matter content in the finished ...
Saša Papuga   +4 more
doaj   +1 more source

Optimal design of single-tuned passive filters using response surface methodology [PDF]

open access: yes, 2015
This paper presents an approach based on Response Surface Methodology (RSM) to find the optimal parameters of the single-tuned passive filters for harmonic mitigation.
Abdel Aleem, SHE   +4 more
core   +1 more source

IMPORTANT ISSUES IN MULTIPLE RESPONSE OPTIMIZATION [PDF]

open access: yesIranian Journal of Optimization, 2009
There have been many productive methods developed so far for optimization of multiple response surface (MRS) problems. This paper tends to review the most seminal approaches in MRS and discuss the strength and weakness of each of the approaches through ...
Mohammad Taleghani
doaj   +2 more sources

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