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Numerical simulation of deactivation process of three-way catalytic converters

机译:三元催化转换器停用过程的数值模拟

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This paper presents the numerical simulation method to predict the deactivation process of three-way catalytic converters. Three-way catalytic converter's deactivation typically results from thermal and chemical mechanisms. The major factor of thermal deactivation is the sintering of noble metal particles, which is known to depend on the aging temperature and the oxygen concentration in the exhaust gas. The chemical deactivation is mainly caused by the poisoning, which has two effects on the catalyst deactivation. One effect is the loss of the catalyst activity, which is expressed by reduced frequency factors of reaction rates. Another effect is the suppression of the noble metal sintering. Poison deposits prevent the noble metal particles from moving in the washcoat, assisted by the reduced thermal loading of reaction heats, which is caused by the loss of the catalyst activity. Modeling these deactivation factors, we propose the rate expression of noble metal sintering. The changing process of noble metal particle size and catalyst activity distributions with mileage is simulated by the procedure to predict the deactivation process. This procedure adopts above sintering rate expression, and the details are presented in this paper. Based on simulated results of the deactivated state inside the bench aged catalyst, which are noble metal particle size and catalyst activity distributions, thermal responses and light-off behaviors during warm-up tests are predicted. Predicted results show good agreement with the measured results. Moreover, transient conversion behaviors of the bench aged catalyst during LA#4 mode test are predicted. Predicted results lead to the conclusion that the numerical simulation method presented enables the prediction of the relative values of cumulated emissions of aged catalysts with sufficient accuracy.
机译:本文介绍了预测三元催化转化器的失活过程的数值模拟方法。三元催化转化器的失活通常由热和化学机制产生。热失活的主要因素是贵金属颗粒的烧结,已知取决于废气中的老化温度和氧浓度。化学失活主要是由中毒引起的,这对催化剂失活有两种影响。一种效果是催化剂活性的损失,其通过降低的反应速率的频率因数表示。另一种效果是抑制贵金属烧结。毒物沉积物防止贵金属颗粒在洗涤涂层中移动,通过降低的反应热量的热负荷辅助,这是由催化剂活性的损失引起的。建模这些失活因子,我们提出了贵金属烧结的速率表达。通过程序预测失活过程的过程模拟了具有里程的贵金属粒度和催化剂活性分布的变化过程。该程序采用上述烧结率表达,并在本文中提出了细节。基于位于稳定性催化剂内的失活状态的模拟结果,其是贵金属粒度和催化剂活性分布,预测热预热试验期间的热响应和亮次行为。预测结果与测量结果显示出良好的一致性。此外,预测了在LA#4模式测试期间稳压催化剂的瞬态转换行为。预测结果导致得出的结论是,所提出的数值模拟方法使得能够以足够的精度预测老化催化剂的累积排放的相对值。

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