Multi-user Equipment: Gaseous Emissions Bench
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Multi-user Equipment approved in grant 2013/50238-3: Gaseous Emissions Bench

Grant number: 21/00759-3
Support Opportunities:Multi-user Equipment Program
Field of knowledge:Engineering - Mechanical Engineering
Principal Investigator:Francisco Emílio Baccaro Nigro
Grantee:Francisco Emílio Baccaro Nigro
Host Institution: Escola de Engenharia Mauá (EEM). Instituto Mauá de Tecnologia. São Caetano do Sul , SP, Brazil
Associated research grant:13/50238-3 - Conceptual study of an advanced ethanol-fueled engine, AP.BIOEN.CPE
As informações de acesso ao Equipamento Multiusuário são de responsabilidade do Pesquisador responsável
EMU web page: Página do Equipamento Multiusuário não informada
Type of equipment:Caracterização de Materiais - Análises Químicas - Monitoramento de gases
Equipamentos de grande porte - Ambiente controlado - Combustão
Manufacturer: Fabricante não informado
Model: Modelo não informado

Abstract

This equipment's exhaust emissions measurement is based on a FTIR (Fourier-Transform InfraRed) spectrometer that measures multiple gas components with 5 Hz at a high spectral resolution in real time operation. Measurement data, internal system variables and parameters can be recorded during a test and shown online in a time-based diagram during the test. The measurement method is suitable for in depth investigation of transient processes in combustion engines and can be used for all kind of exhaust gas measurements. The evaluation methods can analyze and evaluate the gas mixture of different fuels (including gasoline, diesel and ethanol) and applications. Each evaluation method includes between 20 and 30 gas components, such as CO, CO2, H2O, NO, NO2, N2O, NH3, NOX, with separated measurement of diverse hydrocarbons, carbonyls, alcohols and more. All components are measured in a single scan by using the same sample probe in the same measurement gas cell and are perfectly synchronous and time aligned. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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