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Simulation optimization on sucking up dust particle by suction mouth in sanitation sweepers under the negative pressure

机译:负压下卫生扫描中吸收尘埃粒子吸尘的仿真优化

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A suction mouth model is established to research the negative pressure sucking up work process of medium dry brush type sanitation sweeper pneumatic conveying system. The flow field distribution and the dust particle motion residence trajectory are analyzed by numerical simulation, and then some optimization policies are proposed and verified. The result shows that the original suction mouth model have three problems which were solved by optimization policies. In addition, the sucking up velocity is increased by the optimization, but because of the special structure, the longest dust particle residence time is delayed 0.08s compared with the original suction mouth model.
机译:建立了吸口模型,以研究中式干刷式卫生扫地机气动输送系统的负压吸收工作过程。通过数值模拟分析流场分布和灰尘颗粒运动宿舍轨迹,提出并验证了一些优化策略。结果表明,原始抽吸口模型有三个问题,通过优化策略解决了这一问题。此外,通过优化增加了吸吮速度,但由于特殊的结构,与原始抽吸口模型相比,最长的灰尘颗粒停留时间延迟0.08秒。

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