2025-36-0237: Artificial Neural Network-Based Performance and Emission Prediction for Hydrogen-Combustion Multicylinder Engines - Technical Paper

Features

Event: SAE Brasil 2025 Congress

Authors

Bruno Roberto Pasa

Federal University of Santa Maria

Juliano Pereira Silveira

Federal University of Santa Maria

Jean Lucca Souza Fagundez

Federal University of Santa Maria

Thompson Diórdinis Metzka Lanzanova

Federal University of Santa Maria

Mario Eduardo Santos Martins

Federal University of Santa Maria

Nina Paula Gonçalves Salau

Federal University of Santa Maria

Abstract

Content: ₂₂_x_x

Meta Tags

Topics: Internal combustion engines
Hydrogen engines
Greenhouse gas emissions
Air / fuel ratio
Ignition timing
Nitrogen oxides
Engines
Emissions

Affiliated or Co-Author: Federal University of Santa Maria

Details

Pages: 10

Citation: Pasa, Bruno Roberto et al., "Artificial Neural Network-Based Performance and Emission Prediction for Hydrogen-Combustion Multicylinder Engines," SAE Technical Paper 2025-36-0237, 2025-, .

Additional Details

Publisher: SAE International

Published: Dec 18

Product Code: 2025-36-0237

Content Type: Technical Paper

Language: English