Loading…

Design and Mixing Analysis of a Passive Micromixer Based on Curly Baffles

A novel passive micromixer based on curly baffles is proposed and optimized through the signal-to-noise analysis of various design parameters. The mixing performance of the proposed design was evaluated across a wide Reynolds number range, from 0.1 to 80. Through the analysis, the most influential p...

Full description

Saved in:
Bibliographic Details
Published in:Micromachines (Basel) 2023-09, Vol.14 (9), p.1795
Main Authors: Juraeva, Makhsuda, Kang, Dong-Jin
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03
cites cdi_FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03
container_end_page
container_issue 9
container_start_page 1795
container_title Micromachines (Basel)
container_volume 14
creator Juraeva, Makhsuda
Kang, Dong-Jin
description A novel passive micromixer based on curly baffles is proposed and optimized through the signal-to-noise analysis of various design parameters. The mixing performance of the proposed design was evaluated across a wide Reynolds number range, from 0.1 to 80. Through the analysis, the most influential parameter was identified, and its value was found to be constant regardless of the mixing mechanism. The optimized design, refined using the signal-to-noise analysis, demonstrated a significant enhancement of mixing performance, particularly in the low Reynolds number range (Re
doi_str_mv 10.3390/mi14091795
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_96c0c75c2db54a3296cd23e9276f3989</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A780018108</galeid><doaj_id>oai_doaj_org_article_96c0c75c2db54a3296cd23e9276f3989</doaj_id><sourcerecordid>A780018108</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03</originalsourceid><addsrcrecordid>eNpdUk1vEzEQXSEQrUov_IKVuCCkFH_s-uOEQkpLpCI4gMTNmrXHwdGuXexs1fx7HFIBxZZsz8ybZz_PNM1LSi441-TtFGhHNJW6f9KcMiLZQgjx_ek_55PmvJQtqUNKXZfnzQmXUnDdq9NmfYklbGIL0bWfwn2Im3YZYdyXUNrkW2i_QCnhDmvQ5jSFe8zteyjo2hTb1ZzHfTW9H7G8aJ55GAueP-xnzberD19XHxc3n6_Xq-XNwnZK7xbSKvRMatR66CTtNHHMAwjNGel955ziHSCQXmrGHBkIr9qsFOiBDQMQftasj7wuwdbc5jBB3psEwfx2pLwxkHfBjmi0sMTK3jI39B1wVm3HOGomheda6cr17sh1Ow8TOotxl2F8RPo4EsMPs0l3hpKe95rIyvD6gSGnnzOWnZlCsTiOEDHNxTAlCe0YJ7RCX_0H3aY5188-oITueinUQd7FEbWBqiBEn-rFtk6HU7Apog_Vv5SKEKooUTXhzTGh1qeUjP7P8ykxhxYxf1uE_wIorKpJ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2869457680</pqid></control><display><type>article</type><title>Design and Mixing Analysis of a Passive Micromixer Based on Curly Baffles</title><source>PubMed Central (Open Access)</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Juraeva, Makhsuda ; Kang, Dong-Jin</creator><creatorcontrib>Juraeva, Makhsuda ; Kang, Dong-Jin</creatorcontrib><description>A novel passive micromixer based on curly baffles is proposed and optimized through the signal-to-noise analysis of various design parameters. The mixing performance of the proposed design was evaluated across a wide Reynolds number range, from 0.1 to 80. Through the analysis, the most influential parameter was identified, and its value was found to be constant regardless of the mixing mechanism. The optimized design, refined using the signal-to-noise analysis, demonstrated a significant enhancement of mixing performance, particularly in the low Reynolds number range (Re&lt; 10). The design set obtained at the diffusion dominance range shows the highest degree of mixing (DOM) in the low Reynolds number range of Re&lt; 10, while the design set optimized for the convection dominance range exhibited the least pressure drop across the entire Reynolds number spectrum (Re&lt; 80). The present design approach proved to be a practical tool for identifying the most influential design parameter and achieving excellent mixing and pressure drop characteristics. The enhancement is mainly due to the curvature of the most influential design parameter.</description><identifier>ISSN: 2072-666X</identifier><identifier>EISSN: 2072-666X</identifier><identifier>DOI: 10.3390/mi14091795</identifier><identifier>PMID: 37763958</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Computer software industry ; curly baffles ; degree of mixing (DOM) ; Design analysis ; Design of experiments ; Design optimization ; design parameter ; Design parameters ; Energy consumption ; Fluid flow ; mixing mechanism ; most influential design parameter ; Optimization ; Parameter identification ; Pressure drop ; Reynolds number ; signal-to-noise analysis ; Vortices</subject><ispartof>Micromachines (Basel), 2023-09, Vol.14 (9), p.1795</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03</citedby><cites>FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03</cites><orcidid>0000-0002-3774-413X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2869457680/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2869457680?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791,74896</link.rule.ids></links><search><creatorcontrib>Juraeva, Makhsuda</creatorcontrib><creatorcontrib>Kang, Dong-Jin</creatorcontrib><title>Design and Mixing Analysis of a Passive Micromixer Based on Curly Baffles</title><title>Micromachines (Basel)</title><description>A novel passive micromixer based on curly baffles is proposed and optimized through the signal-to-noise analysis of various design parameters. The mixing performance of the proposed design was evaluated across a wide Reynolds number range, from 0.1 to 80. Through the analysis, the most influential parameter was identified, and its value was found to be constant regardless of the mixing mechanism. The optimized design, refined using the signal-to-noise analysis, demonstrated a significant enhancement of mixing performance, particularly in the low Reynolds number range (Re&lt; 10). The design set obtained at the diffusion dominance range shows the highest degree of mixing (DOM) in the low Reynolds number range of Re&lt; 10, while the design set optimized for the convection dominance range exhibited the least pressure drop across the entire Reynolds number spectrum (Re&lt; 80). The present design approach proved to be a practical tool for identifying the most influential design parameter and achieving excellent mixing and pressure drop characteristics. The enhancement is mainly due to the curvature of the most influential design parameter.</description><subject>Analysis</subject><subject>Computer software industry</subject><subject>curly baffles</subject><subject>degree of mixing (DOM)</subject><subject>Design analysis</subject><subject>Design of experiments</subject><subject>Design optimization</subject><subject>design parameter</subject><subject>Design parameters</subject><subject>Energy consumption</subject><subject>Fluid flow</subject><subject>mixing mechanism</subject><subject>most influential design parameter</subject><subject>Optimization</subject><subject>Parameter identification</subject><subject>Pressure drop</subject><subject>Reynolds number</subject><subject>signal-to-noise analysis</subject><subject>Vortices</subject><issn>2072-666X</issn><issn>2072-666X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdUk1vEzEQXSEQrUov_IKVuCCkFH_s-uOEQkpLpCI4gMTNmrXHwdGuXexs1fx7HFIBxZZsz8ybZz_PNM1LSi441-TtFGhHNJW6f9KcMiLZQgjx_ek_55PmvJQtqUNKXZfnzQmXUnDdq9NmfYklbGIL0bWfwn2Im3YZYdyXUNrkW2i_QCnhDmvQ5jSFe8zteyjo2hTb1ZzHfTW9H7G8aJ55GAueP-xnzberD19XHxc3n6_Xq-XNwnZK7xbSKvRMatR66CTtNHHMAwjNGel955ziHSCQXmrGHBkIr9qsFOiBDQMQftasj7wuwdbc5jBB3psEwfx2pLwxkHfBjmi0sMTK3jI39B1wVm3HOGomheda6cr17sh1Ow8TOotxl2F8RPo4EsMPs0l3hpKe95rIyvD6gSGnnzOWnZlCsTiOEDHNxTAlCe0YJ7RCX_0H3aY5188-oITueinUQd7FEbWBqiBEn-rFtk6HU7Apog_Vv5SKEKooUTXhzTGh1qeUjP7P8ykxhxYxf1uE_wIorKpJ</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Juraeva, Makhsuda</creator><creator>Kang, Dong-Jin</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3774-413X</orcidid></search><sort><creationdate>20230901</creationdate><title>Design and Mixing Analysis of a Passive Micromixer Based on Curly Baffles</title><author>Juraeva, Makhsuda ; Kang, Dong-Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Computer software industry</topic><topic>curly baffles</topic><topic>degree of mixing (DOM)</topic><topic>Design analysis</topic><topic>Design of experiments</topic><topic>Design optimization</topic><topic>design parameter</topic><topic>Design parameters</topic><topic>Energy consumption</topic><topic>Fluid flow</topic><topic>mixing mechanism</topic><topic>most influential design parameter</topic><topic>Optimization</topic><topic>Parameter identification</topic><topic>Pressure drop</topic><topic>Reynolds number</topic><topic>signal-to-noise analysis</topic><topic>Vortices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Juraeva, Makhsuda</creatorcontrib><creatorcontrib>Kang, Dong-Jin</creatorcontrib><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Micromachines (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Juraeva, Makhsuda</au><au>Kang, Dong-Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design and Mixing Analysis of a Passive Micromixer Based on Curly Baffles</atitle><jtitle>Micromachines (Basel)</jtitle><date>2023-09-01</date><risdate>2023</risdate><volume>14</volume><issue>9</issue><spage>1795</spage><pages>1795-</pages><issn>2072-666X</issn><eissn>2072-666X</eissn><abstract>A novel passive micromixer based on curly baffles is proposed and optimized through the signal-to-noise analysis of various design parameters. The mixing performance of the proposed design was evaluated across a wide Reynolds number range, from 0.1 to 80. Through the analysis, the most influential parameter was identified, and its value was found to be constant regardless of the mixing mechanism. The optimized design, refined using the signal-to-noise analysis, demonstrated a significant enhancement of mixing performance, particularly in the low Reynolds number range (Re&lt; 10). The design set obtained at the diffusion dominance range shows the highest degree of mixing (DOM) in the low Reynolds number range of Re&lt; 10, while the design set optimized for the convection dominance range exhibited the least pressure drop across the entire Reynolds number spectrum (Re&lt; 80). The present design approach proved to be a practical tool for identifying the most influential design parameter and achieving excellent mixing and pressure drop characteristics. The enhancement is mainly due to the curvature of the most influential design parameter.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>37763958</pmid><doi>10.3390/mi14091795</doi><orcidid>https://orcid.org/0000-0002-3774-413X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-666X
ispartof Micromachines (Basel), 2023-09, Vol.14 (9), p.1795
issn 2072-666X
2072-666X
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_96c0c75c2db54a3296cd23e9276f3989
source PubMed Central (Open Access); Publicly Available Content Database (Proquest) (PQ_SDU_P3)
subjects Analysis
Computer software industry
curly baffles
degree of mixing (DOM)
Design analysis
Design of experiments
Design optimization
design parameter
Design parameters
Energy consumption
Fluid flow
mixing mechanism
most influential design parameter
Optimization
Parameter identification
Pressure drop
Reynolds number
signal-to-noise analysis
Vortices
title Design and Mixing Analysis of a Passive Micromixer Based on Curly Baffles
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T12%3A19%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Design%20and%20Mixing%20Analysis%20of%20a%20Passive%20Micromixer%20Based%20on%20Curly%20Baffles&rft.jtitle=Micromachines%20(Basel)&rft.au=Juraeva,%20Makhsuda&rft.date=2023-09-01&rft.volume=14&rft.issue=9&rft.spage=1795&rft.pages=1795-&rft.issn=2072-666X&rft.eissn=2072-666X&rft_id=info:doi/10.3390/mi14091795&rft_dat=%3Cgale_doaj_%3EA780018108%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c489t-7c8ef279e99b471490d2faa693205f4dd834aea057922d0b03179c76efa2bba03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2869457680&rft_id=info:pmid/37763958&rft_galeid=A780018108&rfr_iscdi=true