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Biochar-capped iron oxide nanocomposites prepared by ultrasonic method as nanophotocatalysts for the degradation of organic dyes using response surface methodology. [PDF]
Mbuyazi TB, Ajibade PA.
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Response surface methodology (RSM) as a tool for optimization in analytical chemistry
Talanta, 2008Marcos Almeida Bezerra +1 more
exaly +2 more sources
Journal of Quality Technology, 1996
(1996). Response Surface Methodology. IIE Transactions: Vol. 28, Scheduling and Logistics, pp. 1031-1032.
Raymond H. Myers, Douglas C. Montgomery
semanticscholar +3 more sources
(1996). Response Surface Methodology. IIE Transactions: Vol. 28, Scheduling and Logistics, pp. 1031-1032.
Raymond H. Myers, Douglas C. Montgomery
semanticscholar +3 more sources
Modeling and optimization I: Usability of response surface methodology
Journal of Food Engineering, 2007Deniz Bas
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The Journal of the Science of Food and Agriculture, 2022
Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
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Response surface methodology (RSM) is a widely used mathematical and statistical technique for modelling and optimizing the process for the extraction of bioactive compounds.
A. Weremfo +4 more
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Response surface methodology: A review on its applications and challenges in microbial cultures
Materials Today: Proceedings, 2021Response surface methodology (RSM) was effectively used for the optimization and modelling of a wide variety of microbial products. This method is a combination of statistical and mathematical technique for model construction, assessing the effect of ...
S. J. M. Breig, K. J. K. Luti
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A review of response surface methodology for biogas process optimization
Cogent Engineering, 2022This paper aimed at reviewing current researches on the use of Response Surface Methodology in the optimisation of Biogas processes. It explored the performance of RSM in biogas process optimization, the most effective technique and the attendant ...
Solal Stephanie Djimtoingar +3 more
semanticscholar +1 more source
2020
Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Péter Zénó Korondi +2 more
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Response Surface Methods (RSMs) are statistical and numerical models that approximate the relationship between multiple input variables and an output variable. This chapter introduces the methodology and its importance for engineer- ing design optimisation. The basic steps to build RSMs and validate the model accuracy are explained.
Péter Zénó Korondi +2 more
openaire +3 more sources
Optimization of process parameters using response surface methodology: A review
Materials Today: Proceedings, 2020Response surface methodology (RSM) is used to optimize the process parameters in casting, welding and machinability studies of composite materials. Response surface methodology is commonly used to design the experiments and it minimizes the numbers of ...
S. Chelladurai +5 more
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