Box-Behnken Factorial Design Applied to Electrodeposition of Silver Nanoparticles in 3D-Printed Disposable Device for the Determination of Sulfamethoxazole in Different Samples by Differential Pulse Voltammetry

Oliveira, Wallace Burger Veríssimo de; Lisboa, Thalles Pedrosa; Silva, Gabriela C. da; Oliveira, Raylla Santos; Souza, Cassiano Cunha de; Matos, Maria Auxiliadora Costa; Oliveira, Marcone Augusto Leal de; Matos, Renato Camargo

doi:10.2139/ssrn.4436897

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“…The sequence of the combined hybrid model is shown in Figure 3. Behnken models are used for generating response surfaces of higher orders, during optimization [18]. While using Box…”

Section: Combined Box-jenkins With Ann Modelmentioning

confidence: 99%

Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM

Balakrishnan¹,

Ilangkumaran²,

Sankaran³

2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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In this manuscript, an attempt has been made to predict and improve the overall equipment effectiveness of core drill rigs. A combined Box–Jenkins and artificial neural network model was used to develop a three parameter model (drill pushing pressure, drill penetration rate & average pillar drill pit cycle time) for predicting effectiveness. the overall equipment efficiency of core drill rigs. The values of mean average percentage error, root mean square error, normalized root mean square error, men bias error, normalized mean biased error and coefficient of determination values were found to be 9.462%, 17.378%, 0.194, 0.96%, 0.0014 and 0.923. Empirical relationships were developed between the input and output parameters and its effectiveness were evaluated using analysis of variance. For attaining 74.9% effectiveness, the optimized values of pushing pressure, penetration rate and average pillar drill pit cycle time were predicted to be 101.7 bar, 0.94 m/min and 272 min, which was validated. Interactions, perturbations and sensitivity analysis were conducted.

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“…The sequence of the combined hybrid model is shown in Figure 3. Behnken models are used for generating response surfaces of higher orders, during optimization [18]. While using Box…”

Section: Combined Box-jenkins With Ann Modelmentioning

confidence: 99%