2017
DOI: 10.1038/srep46018
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Integrating uniform design and response surface methodology to optimize thiacloprid suspension

Abstract: A model 25% suspension concentrate (SC) of thiacloprid was adopted to evaluate an integrative approach of uniform design and response surface methodology. Tersperse2700, PE1601, xanthan gum and veegum were the four experimental factors, and the aqueous separation ratio and viscosity were the two dependent variables. Linear and quadratic polynomial models of stepwise regression and partial least squares were adopted to test the fit of the experimental data. Verification tests revealed satisfactory agreement bet… Show more

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Cited by 5 publications
(5 citation statements)
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References 32 publications
(37 reference statements)
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“…According to the characteristic of the uniform design of experiment method, this uniform design is broadly employed in many engineering areas. 36–38…”
Section: Optimization Of the Design For A Bicycle Framementioning
confidence: 99%
See 1 more Smart Citation
“…According to the characteristic of the uniform design of experiment method, this uniform design is broadly employed in many engineering areas. 36–38…”
Section: Optimization Of the Design For A Bicycle Framementioning
confidence: 99%
“…According to the characteristic of the uniform design of experiment method, this uniform design is broadly employed in many engineering areas. [36][37][38] If the number of experiments is more, the accuracy of the Kriging model established in the subsequent step will be higher, but it will cause a large increase in computing time. Therefore, the number of experiments must be limited.…”
Section: Uniform Designmentioning
confidence: 99%
“…In order to explore the optimal region around the optimal setting for near-optimal settings, the second stage of the foundational response surface methodology usually starts with characterizing the obtained optimal setting. To characterize the obtained optimal setting it transforms the fitted model to a new coordinate system with the origin at the optimal setting, and then rotates the axes of this system until they are parallel to the principal axes of the fitted response surface [15,8,1]. Fig.…”
Section: Exploring the Optimal Region Around The Optimal Settingmentioning
confidence: 99%
“…cost of production or waste from production). Indeed, obtaining the optimum operating condition indicates an end to the first stage of response surface methodology [15,16,5,17]. But often times, circumstances such as drop in efficiency of machines overtime and sporadic fluctuations in voltage usually initiate momentary drifts away from the optimum operating condition that, in turn, affects the nature of the yield especially within durations prior to the fixing of such machines or adjustments of such fluctuations.…”
Section: Introductionmentioning
confidence: 99%
“…RSM is a non-linear multi-dimensional model to understand a non-linear relationship between the variables. Moreover, the optimal solution provided by a RSM design can be used as a new design point in the next RSM trials [13].…”
Section: Introductionmentioning
confidence: 99%