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Alternative Fuel Property Correlations to the Honda Particulate Matter Index (PMI)

机译：本田颗粒物质指数（PMI）的替代燃料性质相关性

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The Honda Particulate Matter Index (PMI) is a very helpful tool which provides an indication of a fuel’s sooting tendency. Currently, the index is being used by various laboratories and vehicle OEMs as a metric to understand a fuels impact on automotive engine sooting, in preparation for new global emissions regulations. The calculation of the index involves generating detailed hydrocarbon analysis (hydrocarbon molecular speciation) using gas chromatography laboratory equipment and the PMI calculation requires the exact list of compounds and correct naming conventions to work properly. The analytical methodology can be cumbersome, when the gas chromatography methodology has to be adjusted for new compounds that are not in the method, or if the compounds are not matching the list for quantification. Also, the method itself is relatively expensive, and not easily transferrable between labs. Therefore, alternative correlations and methods are being sought which can be easily calculated at laboratories around the world. This paper will explore a few correlation methodologies that could be used to give indication of the sooting tendency of the fuel.
机译：本田颗粒物质指数（PMI）是一个非常有用的工具，它提供了燃料的烟灰倾向的指示。目前，各种实验室和车辆OEM正在使用该指数，以了解对汽车发动机烟灰的影响，以准备新的全球排放法规。指数的计算涉及使用气相色谱实验室设备产生详细的烃分析（烃类分子形状），PMI计算需要精确的化合物列表并正确的命名约定正常工作。当必须对不在方法中的新化合物调节气相色谱法，或者如果化合物与列表不匹配以进行量化，则分析方法可能是麻烦的。而且，该方法本身相对昂贵，而且在实验室之间不易转移。因此，正在寻求替代相关性和方法，可以在世界各地的实验室容易地计算。本文将探讨一些相关方法，可用于指示燃料的烟灰趋势。

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