Multi-objective optimization of fine pulverized coal separator based on computational fluid dynamics and genetic algorithm

IF 4.1 2区工程技术 Q2 ENGINEERING, CHEMICAL

Chemical Engineering Science Pub Date : 2025-04-06 DOI:10.1016/j.ces.2025.121630

Haixia Li , Ruixiang Wang , Zhihui Li , Mengzhi Zhi , Anchao Zhang , Zhijun Sun , Xinmin Zhang , Haibin Si , Zhijian Hu , Ruiguang Hu

{"title":"Multi-objective optimization of fine pulverized coal separator based on computational fluid dynamics and genetic algorithm","authors":"Haixia Li , Ruixiang Wang , Zhihui Li , Mengzhi Zhi , Anchao Zhang , Zhijun Sun , Xinmin Zhang , Haibin Si , Zhijian Hu , Ruiguang Hu","doi":"10.1016/j.ces.2025.121630","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a multi-objective optimization of a helical-roof inlet fine coal separator using computational fluid dynamics (CFD) and a modified Non-dominated Sorting Genetic Algorithm II. Five critical geometric parameters were investigated: vortex finder diameter (De/D), cone tip diameter (Dt/D), cone height (Hc/D), exhaust pipe insertion length (Hin/D), and inlet velocity (v). Response surface methodology revealed that increasingDe/Dreduces pressure drop but risks lower efficiency, while largerHc/Denhances particle residence time and efficiency at the cost of higher pressure drop. Interactions betweenDe/DandHin/D significantly influenced flow stability. The optimal configuration (De/D = 0.54,Dt/D = 0.39,Hc/D = 4.00,Hin/D = 1.31,v = 12.37 m/s) yielded a 23.96 % reduction in pressure drop and 13.61 % improvement in separation efficiency compared to the reference model. CFD validation confirmed the accuracy of the optimized solutions, providing insights for balancing energy consumption and separation performance in industrial separators.</div></div>","PeriodicalId":271,"journal":{"name":"Chemical Engineering Science","volume":"311 ","pages":"Article 121630"},"PeriodicalIF":4.1000,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Science","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009250925004531","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}

引用次数: 0

Abstract

This study presents a multi-objective optimization of a helical-roof inlet fine coal separator using computational fluid dynamics (CFD) and a modified Non-dominated Sorting Genetic Algorithm II. Five critical geometric parameters were investigated: vortex finder diameter (D_e/D), cone tip diameter (D_t/D), cone height (H_c/D), exhaust pipe insertion length (H_in/D), and inlet velocity (v). Response surface methodology revealed that increasing D_e/D reduces pressure drop but risks lower efficiency, while larger H_c/D enhances particle residence time and efficiency at the cost of higher pressure drop. Interactions between D_e/D and H_in/D significantly influenced flow stability. The optimal configuration (D_e/D = 0.54, D_t/D = 0.39, H_c/D = 4.00, H_in/D = 1.31, v = 12.37 m/s) yielded a 23.96 % reduction in pressure drop and 13.61 % improvement in separation efficiency compared to the reference model. CFD validation confirmed the accuracy of the optimized solutions, providing insights for balancing energy consumption and separation performance in industrial separators.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Chemical Engineering Science 工程技术-工程：化工

CiteScore

7.50

自引率

8.50%

发文量

1025

审稿时长

50 days

期刊介绍： Chemical engineering enables the transformation of natural resources and energy into useful products for society. It draws on and applies natural sciences, mathematics and economics, and has developed fundamental engineering science that underpins the discipline. Chemical Engineering Science (CES) has been publishing papers on the fundamentals of chemical engineering since 1951. CES is the platform where the most significant advances in the discipline have ever since been published. Chemical Engineering Science has accompanied and sustained chemical engineering through its development into the vibrant and broad scientific discipline it is today.