中文

Prediction in Catalytic Cracking Process Based on Swarm Intelligence Algorithm Optimization of LSTM

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  • Key Words:参数优化;CFD模拟;油气吸附;气速;穿透曲线;空塔气速;操作压力;操作温度

  • Abstract:目前我国石油化工领域生产过程存在较为严重的油气蒸发损耗问题,不仅导致油品资源的损耗,也严重影响了大气质量,常通过吸附方式进行油气回收。针对实际工业中油气吸附效率较低的问题,致力于寻求提高活性炭吸附性能的方法。基于计算流体力学软件中的组分输运及多孔介质模型,对油气吸附过程进行建模及动态模拟,分析活性炭床层内部的浓度场分布情况,并采用控制变量法对比空塔气速对吸附性能的影响。不同气速下穿透曲线的比对结果表明:气速越大穿透曲线越陡峭,相同时间间隔内的吸附负荷越大穿透时间越短。

  • Volume:v.50;No.373

  • Issue:04

  • Translation or Not:no


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