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首页> 外文会议>IEEE International Conference on Power Systems Technology >Estimation of Ozone Generation in Dielectric Barrier Discharge Plasma using Response Surface Methodology and Fuzzy Logic
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Estimation of Ozone Generation in Dielectric Barrier Discharge Plasma using Response Surface Methodology and Fuzzy Logic

机译：基于响应面法和模糊逻辑的介质阻挡放电等离子体中臭氧的产生

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摘要

Ozone is being used in several applications such as oxidation of gaseous pollutants, wastewater treatment, surface disinfection, food processing etc. One of the popular means of producing ozone is by using electrical discharges. In this paper, ozone generation using non-thermal plasma is discussed, in the context of its use for diesel engine exhaust treatment. To achieve maximum oxidation of nitric oxide and other pollutants in the exhaust for varying engine loads, the ozone generation needs to be varied accordingly. As the parameters controlling ozone generation can have multiple combinations, finding the right set of parameters to achieve a specific ozone concentration requires several experimental trials. In such cases, the availability of a model that accurately predicts the concentration of ozone for a given set of parameters reduces the experimental burden of conducting such trials. With this objective, two mathematical models, Response Surface Methodology and Fuzzy Logic Model, have been explored as possible techniques for prediction of ozone concentration.
机译：臭氧被用于多种应用中，例如气态污染物的氧化，废水处理，表面消毒，食品加工等。产生臭氧的一种流行方法是使用放电。在本文中，讨论了使用非热等离子体产生臭氧的情况，并将其用于柴油机废气处理。为了在变化的发动机负载下实现排气中一氧化氮和其他污染物的最大氧化，需要相应地改变臭氧的产生。由于控制臭氧产生的参数可以有多种组合，因此找到正确的参数集以达到特定的臭氧浓度需要进行一些实验性试验。在这种情况下，对于给定的一组参数，可以准确预测臭氧浓度的模型的可用性降低了进行此类试验的实验负担。为此目的，已经探索了两个数学模型，即响应面方法和模糊逻辑模型，作为预测臭氧浓度的可能技术。

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