In the last few decades, researchers have aimed to improve the removal efficiency of air pollutants using several engineered devices. Here, cement dust removal is investigated using the water scrubbing technique by applying a self‐priming venturi scrubber in fully submerged conditions to study the effect of various operating parameters on performance. This study carries out optimization to develop a model. The removal efficiency of particulates acts as the functional process parameter and its related interaction terms are discussed in this work. Response surface methodology is applied to optimize the process output response. The developed model and design expert platform, inbuilt with the central composite design technique performs the process optimization. This helps in comparing the input and output variables. The maximum removal efficiency obtained is 99.77% at a throat gas velocity of 60 m s⁻¹, an inlet cement dust loading rate of 3.1 g m⁻³, and a liquid level of 100 cm in the external cylinder under fully submerged conditions. Moreover, recyclable household greywater is used as a scrubbing liquid owing to its low‐cost and availability in sufficient quantities. The proposed scrubber system efficiently removes particulate matter such as cement dust particulates from the environment.

中文翻译：

---

通过完全浸没的自吸式文丘里洗涤器去除水泥粉尘颗粒

在过去的几十年中，研究人员旨在使用几种工程设备提高空气污染物的去除效率。在这里，使用水洗技术研究了水泥除尘，方法是在完全淹没的条件下应用自吸式文丘里洗涤器，以研究各种操作参数对性能的影响。这项研究进行了优化以开发模型。颗粒的去除效率充当功能过程参数，并且在此工作中讨论了其相关的相互作用项。应用响应面方法来优化过程输出响应。集成了中央复合设计技术的已开发模型和设计专家平台可以进行过程优化。这有助于比较输入和输出变量。^-1，进口水泥粉尘的负载率为3.1 gm ^-3，并且在完全浸没条件下的外部气缸中的液位为100 cm。此外，由于其价格低廉且数量充足，因此可回收的家用灰水被用作洗涤液。所提出的洗涤器系统有效地从环境中去除了诸如水泥粉尘颗粒之类的颗粒物。