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Developing Motorcycle Particulate Matter Filtering System Based on Different Methods

机译:基于不同方法开发摩托车颗粒物质过滤系统

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Particulate filters are commonly used to reduce the concentrations of PMs (Particulate Matters) emitted by motor vehicles or other sources of pollutants. However, studies focusing on the particulate PM_(0.1) filtering system in motorcycles remain unclear and limited. Hence, the aim of the present paper is to evaluate the developed motorcycle filters consisting of a porosity-based filter, an electrostatic-based filter, and a radiation-based filter for reducing the concentrations of PM_(0.1) emitted by motorcycles. The porosity-based filter has been developed using biomass materials such as coconut fibers, coconut fiber DPF, coconut shell, charcoal of coconut shell, and sawdust. The electrostatic fitter was developed using a low DC voltage. The radiation-based filter was developed by using heat emission for reheating PM_(0.1). We have found a prospective filter for reducing motorcycle particle emissions with efficiency depending on the developed method. The filter efficiency reaches 27%±10% for the porosity-based filter, 37%±1% for the electrostaticbased filter, and 27% to 42% for the radiation-based filter.
机译:颗粒过滤器通常用于减少机动车辆或其他污染物来源发出的PMS(颗粒物质)的浓度。然而,专注于摩托车中的颗粒PM_(0.1)过滤系统的研究仍然不明确和有限。因此,本文的目的是评估由孔隙率的过滤器,静电基滤波器和基于辐射的滤波器组成的开发的摩托车过滤器,用于减少摩托车发射的PM_(0.1)的浓度。已经使用椰子纤维,椰子纤维DPF,椰子壳,椰子壳的炭和锯末开发了基于生物质材料的过滤器。使用低直流电压开发静电钳工。通过使用用于再加热PM_(0.1)的热排放来开发基于辐射的滤波器。根据开发的方法,我们已经发现了一种用于减少摩托车颗粒排放的预期滤镜。孔隙率过滤器的滤波效率达到27%±10%,静电滤波器的37%±1%,辐射基滤波器的27%至42%。

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