当前位置: X-MOL 学术Chem. Eng. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimization of the Structural Parameters of a Cyclone by Using a Genetic Algorithm
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2022-07-26 , DOI: 10.1002/ceat.202200242
Chen Song 1 , Jiarui Wang 1 , Simin Wang 1 , Jian Wen 2
Affiliation  

A mathematical model is proposed to optimize a two-stage separation cyclone. The model combines the discrete phase model, multi-objective genetic algorithm, and response surface model. The model was validated by experimental data with an average deviation of 9.87 %. The effects of three structural parameters on the comprehensive performance of this cyclone are discussed. By applying a central composite design method, the cyclone was optimized and three optimal designs were obtained, with an average pressure drop reduction of 6.05 %, and 2.34-fold improvement in separation efficiency over the original design. The proposed model and results are of great significance for the further design of this type of cyclone.

中文翻译:

利用遗传算法优化旋风分离器的结构参数

提出了一种优化两级分离旋流器的数学模型。该模型结合了离散相模型、多目标遗传算法和响应面模型。该模型得到了实验数据的验证,平均偏差为 9.87%。讨论了三个结构参数对该旋流器综合性能的影响。采用中心复合设计方法对旋风分离器进行优化,得到3个最优设计,平均压降降低6.05%,分离效率比原设计提高2.34倍。所提出的模型和结果对进一步设计该型旋风分离器具有重要意义。
更新日期:2022-07-26
down
wechat
bug