Deterioration evaluation of cerium-based catalytic diesel particulate filter based on fuzzy grey correlation analysis

Abstract

This study simulated the composite regeneration process of a Catalyzed Diesel Particulate Filter (CDPF). The degradation performance was evaluated using the maximum wall temperature as the benchmark. The orthogonal experiment design and fuzzy grey correlation analysis approach were employed to analyze the effect of various factors, including regeneration temperature, NOx mass, catalyst coating amount, SO2 concentration, oxygen concentration, and exhaust flow rate, on the degradation of the CDPF. A comprehensive analysis of the factors was conducted, yielding important insights into the key factors that can be leveraged to optimize the system. The results reveal that these six operating parameters are the primary drivers of the CDPF’s performance degradation, with the NOx mass having the greatest impact on the maximum wall temperature.

Keywords

• Catalyzed diesel particulate filter
• Degradation
• Factors
• Fuzzy grey relational analysis