Duo Sun , Lin Zeng , Yi Yang , Chao Liu , Jiaju Hong , Wenbo Han , Wei Li , Chenyong Wang , Jienan Shen , Hui Yang , Hongpeng Zhang
{"title":"具有不同三维人字形结构的特斯拉微搅拌器的数值和实验研究","authors":"Duo Sun , Lin Zeng , Yi Yang , Chao Liu , Jiaju Hong , Wenbo Han , Wei Li , Chenyong Wang , Jienan Shen , Hui Yang , Hongpeng Zhang","doi":"10.1016/j.cep.2024.110040","DOIUrl":null,"url":null,"abstract":"<div><div>Laminar flow within channels at the micro- or nano-scale of the microfluidic device restricts the rapid mixing of different fluids, leading to reduced reaction velocity. In this study, different three-dimensional herringbone structures were designed to the Tesla micromixers to enhance transverse flow and vortex flow in the channels. Computational fluid dynamics (CFD) simulation results indicated that the sunken herringbone structure provided the most significant enhancement in mixing. The raised herringbone structure exhibited the best energy performance. When Reynolds number (Re) exceeded 60, the mixing indexes (MI) of the Tesla micromixers were over 90%. The improvement in mixing efficiency by both herringbone structures compensated for the weak mixing performance of the Tesla structure at lower Reynolds numbers (Re=0.2–30). Additionally, the mixing experimental results verified the accuracy of the simulation results. This study could provide guidance for improving the mixing performance of micromixers over a wide range of Reynolds numbers (Re=0–100).</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"205 ","pages":"Article 110040"},"PeriodicalIF":3.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical and experimental investigation of Tesla micromixers with different three-dimensional herringbone structures\",\"authors\":\"Duo Sun , Lin Zeng , Yi Yang , Chao Liu , Jiaju Hong , Wenbo Han , Wei Li , Chenyong Wang , Jienan Shen , Hui Yang , Hongpeng Zhang\",\"doi\":\"10.1016/j.cep.2024.110040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Laminar flow within channels at the micro- or nano-scale of the microfluidic device restricts the rapid mixing of different fluids, leading to reduced reaction velocity. In this study, different three-dimensional herringbone structures were designed to the Tesla micromixers to enhance transverse flow and vortex flow in the channels. Computational fluid dynamics (CFD) simulation results indicated that the sunken herringbone structure provided the most significant enhancement in mixing. The raised herringbone structure exhibited the best energy performance. When Reynolds number (Re) exceeded 60, the mixing indexes (MI) of the Tesla micromixers were over 90%. The improvement in mixing efficiency by both herringbone structures compensated for the weak mixing performance of the Tesla structure at lower Reynolds numbers (Re=0.2–30). Additionally, the mixing experimental results verified the accuracy of the simulation results. This study could provide guidance for improving the mixing performance of micromixers over a wide range of Reynolds numbers (Re=0–100).</div></div>\",\"PeriodicalId\":9929,\"journal\":{\"name\":\"Chemical Engineering and Processing - Process Intensification\",\"volume\":\"205 \",\"pages\":\"Article 110040\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Engineering and Processing - Process Intensification\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0255270124003787\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering and Processing - Process Intensification","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0255270124003787","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Numerical and experimental investigation of Tesla micromixers with different three-dimensional herringbone structures
Laminar flow within channels at the micro- or nano-scale of the microfluidic device restricts the rapid mixing of different fluids, leading to reduced reaction velocity. In this study, different three-dimensional herringbone structures were designed to the Tesla micromixers to enhance transverse flow and vortex flow in the channels. Computational fluid dynamics (CFD) simulation results indicated that the sunken herringbone structure provided the most significant enhancement in mixing. The raised herringbone structure exhibited the best energy performance. When Reynolds number (Re) exceeded 60, the mixing indexes (MI) of the Tesla micromixers were over 90%. The improvement in mixing efficiency by both herringbone structures compensated for the weak mixing performance of the Tesla structure at lower Reynolds numbers (Re=0.2–30). Additionally, the mixing experimental results verified the accuracy of the simulation results. This study could provide guidance for improving the mixing performance of micromixers over a wide range of Reynolds numbers (Re=0–100).
期刊介绍:
Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.