CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Química (FEQ) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor's degree in Chemical Engineering. Professional background mainly in the following fields: mathematics, modeling, artificial neural networks, development of a washing process for glyphosate containers for subsequent recycling, and, optimization of the acid pre-treatment process of sugarcane biomass. Currently, working as a Ph.D. student in Bioenergy. Researching about the design and development of microchannel reactors to carry out steam reforming of renewable ethanol for the production of hydrogen gas using 3D sintering laser technology, seeking affordable cost methodologies to enable the production of units with precision and complex geometry. (Source: Lattes Curriculum)
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Hydrogen presents as a promising fuel and its production from steam reforming of renewable ethanol appealing to be both economically and environmentally suitable. Within this context, it is necessary to investigate possible solutions and their evaluation, and among them the use of process intensification concepts, which enables higher heat and mass transfer rates. With regard to chemical …
In spite of the investments already made in Brazil to implement the first plant for the production of 2G-ethanol using straw and sugarcane bagasse, this technology still presents a great potential for growth. 2G-ethanol production from sugarcane co-products (biomass resulting from 1G-ethanol and sugar production) does not depend on the production of food for its industrialization neither …
This research project will lead the student to the knowledge of the basic concepts of artificial neural networks, a numerical tool used in many areas. In particular, the aim is to develop a neural model capable of estimating the mass and soybean density from digital images. It is expected that the experience with the research encourages candidate for further study of neural networks in th…
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