Search Results - "Giordani, D. S."

Identification of the Biodiesel Source Using an Electronic Nose by Giordani, D. S, Siqueira, A. F, Silva, M. L. C. P, Oliveira, P. C, de Castro, H. F

“…Biodiesel is an important new alternative fuel. The feedstock used and the process employed determines whether it fulfills the required specifications. In this…”
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Correlation of modified natural rubber properties by artificial neural networks by Giordani, D.S., Oliveira, P.C., Guimarães, A., Guimarães, R.C.O.

“…Natural rubber (NR) is a raw material largely used by the modern industry; however, it is common that chemical modifications must be made to NR in order to…”
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Kinetic and thermodynamic parameters of volatilization of biodiesel from babassu, palm oil and mineral diesel by thermogravimetric analysis (TG) by Oliveira, L. E., Giordani, D. S., Paiva, E. M., De Castro, H. F., Da Silva, M. L. C. P.

“…The boiling point and volatility are important properties for fuels, as it is for quality control of the industry of petroleum diesel and biofuels. In…”
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Stochastic modeling of the transient regime of an electronic nose for waste cooking oil classification by Siqueira, A.F., Melo, M.P., Giordani, D.S., Galhardi, D.R.V., Santos, B.B., Batista, P.S., Ferreira, A.L.G.

“…The present work aims to propose an empirical kinetic model based on sorption and the precursor state, which is capable of describing the variation in…”
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Artificial Neural Networks Associated to Calorimetric Measurements Used as a Method to Predict Polymer Composition of High Solid Content Emulsion Copolymerizations by Giordani, Domingos Sávio, Lona, Liliane M. F., McKenna, Timothy F., Krähenbühl, Maria A., dos Santos, Amilton Martins

“…Inspired by biological systems, artificial neural networks (ANN) have demonstrated to be powerful tools to model non‐linear systems, such as high solid content…”
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Artificial neural networks associated to calorimetry to preview polymer composition of high solid content emulsion copolymerizations by Giordani, D.S., dos Santos, A.M., Krahenbuhl, M.A., Lona, L.M.F.

“…Artificial neural networks (ANN) have demonstrated to be powerful tools to model nonlinear systems, such as high solid content latexes produced by emulsion…”
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