Work

Modelling of SI Engine Performance and Emissions with Ether Additives and Low-Octane Gasoline Using Artificial Neural Network

Year: 2024

Type: article

Source: International Journal on Energy Conversion (IRECON)

DOI: 10.15866/irecon.v12i6.25300

Authors: Nawzad J. Mahmood, Raid W. Daoud, Obed Majeed Ali, Aysha S. Hasan

Institutions: Imam Ja’afar Al-Sadiq University, Northern Technical University

Language: English

Topic: Advanced Combustion Engine Technologies

Subfield: Fluid Flow and Transfer Processes

Field: Chemical Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4409903986

FWCI:

Cites:

Cited by:

Related to: 10