Diesel engines are widely used for their good power performance and economic performance, and the emission control technology of diesel engines has developed rapidly in recent years, not only for the health problems of everyone, but also for the sustainable development of a country. Amongst other things, NOX and particulate in-engine cleaning of diesel engines are a mutually constraining relationship and cannot well reduce the emissions of both at the same time. Therefore, this paper explores the reduction of diesel particulate emissions based on artificial intelligence research on oxidation catalytic converters. In order to reduce particulate emissions, three post-treatment methods are chosen in this paper: particulate trap (DPF), oxidation catalyst (DOC) and particulate oxidation catalyst (POC). The three technologies are used to analyse the factors influencing PM emissions, reduce diesel particulate emissions and achieve the goal of diesel exhaust gas compliance.

Malik Yeongmin. Research the Effect of Oxidation Catalytic Converter on Reducing Diesel Engine Particulate Emission Based on Artificial Intelligence. Kinetic Mechanical Engineering (2022), Vol. 3, Issue 2: 28-36. https://doi.org/10.38007/KME.2022.030204.

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