Raphael Garcia Moreira

Researcher, Founder at Sonata Solutions

Brazil · São PauloJoined June 2021

Summary

Author of the first academic work in Brazil focusing on the FABRICATION OF AN IMS (ION MOBILITY SPECTROMETRY) which resulted in a patent deposit for the USP (University of São Paulo).
Engineer and Researcher with the challenge of producing technological innovation employing planning to overcome supply-chain constraints, with the filing of the first international patent granted (EP2337177 - Dec. 2009), since then, I have been the inventor of 8 patents filed. Focused on the search for technological solutions planned from the conception of its application, the TRL-2 (Technology Readiness Level), aiming the customers' needs (Jobs-to-be-Done Theory).
As a college professor (2012 - 2018), I was mentor of students in the development of technological innovations that won awards and patents for students and professors - Where I improved in practice my interpersonal communication and leadership skills.

Work Experience (1)

Researcher, Founder

Sonata Solutions

April 2018 - Present

São Paulo

Academic Studies (2)

Doctor of Science

Escola Politécnica da Universidade de São Paulo - USP

January 2014 - January 2018

Instrumentation and Sensing

Fabrication and modeling of a new geometry for ion mobility spectrometry of toluene propanol and water with high signal-to-noise ratio: https://teses.usp.br/teses/disponiveis/3/3140/tde-18072018-135559/en.php

-> Filing a patent for the developed IMS (Ion Mobility Spectrometry) geometry (BR 10 2017 021121 5 A2 - Oct 2, 2017).
-> Filing a patent for the developed system and method of decomposition of tars based on plasma and microwaves. (BR 10 2017 004550 1 A2 - March 7, 2017).

Master of Science

Escola Politécnica da Universidade de São Paulo - USP

January 2011 - January 2014

Instrumentation and Sensing

Sensing mixtures of H2, CH4 and CO through an array of chemiresistors: https://teses.usp.br/teses/disponiveis/3/3140/tde-13102014-150854/en.php

Awards and achievements (1)

A heat treatment furnace for the study of new aluminum alloys

Published by the public television of the Brazilian Executive - TV Brasil - Jun 5, 2017

June 2017

We have developed a treatment system for aluminum alloys, to avoid accidents with dams like that of SAMARCO.

Research areas of interest (11)

  • Electronics, IT and Telecomms
  • Electronics, Microelectronics
  • Apparatus Engineering
  • Physical Sciences and Exact Sciences
  • Measurements and Standards
  • and 6 more

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Fabrication and Characterization of an Ion Mobility Spectrometer Device for Volatile Organic Compounds Detection

R.G. Moreira, L.H. Higa Moreira and S.G. dos Santos Filho
This work proposes a new geometry for an Ion Mobility Spectrometer (IMS) in order to detect toluene, 2-propanol and water vapor. The IMS system was designed with a compact ionization chamber followed by another capable of selectively discriminate the range radius of the charged ions that collides to lateral sensing electrodes under a bidimensional distribution of high electric fields (0.0 to 27kV/cm) and under a stationary flow regime of ions, without turbulence, using a vacuum pump coupled to the chamber. The MATLAB platform was employed to solve the equations that describes the ion trajectories as a function of their mass and the Quickfield6.3 program was employed to simulate the bidimensional distribution of high electric fields under a stationary flow regime of ions without turbulence. The results showed a good fit of the range radius of the ionized species with the position of the lateral sensing electrodes after measuring the current intensity associated to the different ionic masses obtained from the ionization of toluene, 2-propanol and water, respectively.

Sensing different mixtures of H2, CH4 and CO through an array of chemiresistors

R.G. Moreira; L.H. Higa Moreira; S.G. dos Santos Filho
This work proposes a set up for sensing H 2 , CH 4 and CO generated from biomass. The sensing is performed by commercially avaliable SnO 2 chemiresistors [6], one for each gas. The proposed set up has a gas dilution stage before the sensing step. One hundred and twenty five different gas mixtures were prepared from the combination of H 2 , CH 4 and CO using nitrogen as carrier gas. The samples were evaluated under two different methods for sensor recovery: forced and natural. Based on the results, it was established that the cross sensitivities of the CO and CH 4 sensors are too high while the H 2 sensor presents selectivity of almost 100%. Also, the natural recovery method showed improved results because of the better thermal stability of the system. An artificial neural network was developed with the purpose of overcoming the problem of cross-sensitivities and indicated a minimum squared error energy (SSE) of 8.5×10 -8 for H 2 , 2.0×10 -3 for CH 4 and 5.1×10 -3 for CO.

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