Heavy trucks contribute approximately 18% of all vehicle contribution to air pollution and approximately 49% of nitric oxides (NOx) 62% of the particulate matter (PM). Diesel emissions of NOx and particulates have been steadily improving along with reductions in worldwide emissions standards. A Diesel Particulate Filter (DPF) is an important component of a diesel exhaust system. The DPF minimizes particulates in the exhaust stream. Robust Engineering Parameter Design methods were applied to optimize the catalyst slurry coating process for the DPF. The initial production scale‐up run was unsatisfactory with a process capability index (Cpk) less than 1.0. Three Nominal‐the‐Best Robust Engineering Parameter Design experiments were conducted on the process, one in Tulsa, Oklahoma and two in Florange, France. Very similar process improvements and learning's were obtained for each. Both Tulsa and Florange processes confirmed with 18 dB gains in Signal‐to‐Noise (S/N) Ratios and on target performance.


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    Titel :

    Catalyst Slurry Coating Process Optimization for Diesel Catalyzed Particulate Traps


    Beteiligte:
    Chowdhury, Subir (Herausgeber:in) / Taguchi, Shin (Herausgeber:in)


    Erscheinungsdatum :

    2016-02-10


    Format / Umfang :

    24 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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