Activity of motile microorganism in bioconvective nanofluid flow with Arrhenius activation energy
In this current article, we developed a theoretical model for the bioconvective microbial activities through the nanofluid flow. The appearance of activation energy and Arrhenius function are present in this model. The investigation of motile microorganisms with heat generation effects has not been...
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Veröffentlicht in: | Journal of thermal analysis and calorimetry 2023-09, Vol.148 (17), p.9113-9130 |
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description | In this current article, we developed a theoretical model for the bioconvective microbial activities through the nanofluid flow. The appearance of activation energy and Arrhenius function are present in this model. The investigation of motile microorganisms with heat generation effects has not been studied yet to the best of our knowledge. The governing equations consist of the continuity equation, the energy equation, the solutal equation, and the concentration equation of microbes. The system of PDEs contained in the governing equation is transformed into a system of nonlinear ODEs by using suitable similarity transformation, and then solved numerically by applying the spectral quasilinearization method. MATLAB software has been used to plot the figures; residual error for this numerical technique and the effect of several fluid parameters are also been demonstrated graphically. Moreover, the skin friction coefficient, the heat transfer coefficient, the Sherwood number, and the density number of motile microbes are also discussed. It has been found that there is a good agreement between the current results with the previously published works. The microbes’ concentration boundary layer increases with the enhancement of the heat generation parameter. A high rate of chemical reaction parameters of microbes enhances the temperature of the system. In addition, the velocity profile increases with the increment of the bioconvection Schmidt number. The increment of the magnetic parameter from
0.1
to
0.5
reduces the Nusselt number by
28.36
%
, but microorganism density increases by
3.53
%
. When the bioconvection Brownian motion parameter varies from
0.1
to
1.2
, the Nusselt number almost decreases by
95.99
%
, which will be significant for one of the physical interests of the investigation. |
doi_str_mv | 10.1007/s10973-023-12295-x |
format | Article |
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0.1
to
0.5
reduces the Nusselt number by
28.36
%
, but microorganism density increases by
3.53
%
. When the bioconvection Brownian motion parameter varies from
0.1
to
1.2
, the Nusselt number almost decreases by
95.99
%
, which will be significant for one of the physical interests of the investigation.</description><identifier>ISSN: 1388-6150</identifier><identifier>EISSN: 1588-2926</identifier><identifier>DOI: 10.1007/s10973-023-12295-x</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Activation energy ; Analytical Chemistry ; Boundary layers ; Brownian motion ; Chemical reactions ; Chemistry ; Chemistry and Materials Science ; Coefficient of friction ; Continuity equation ; Density ; Fluid flow ; Heat generation ; Heat transfer coefficients ; Inorganic Chemistry ; Magnetic properties ; Mathematical models ; Measurement Science and Instrumentation ; Microorganisms ; Nanofluids ; Nusselt number ; Parameters ; Physical Chemistry ; Polymer Sciences ; Schmidt number ; Skin friction ; Velocity distribution</subject><ispartof>Journal of thermal analysis and calorimetry, 2023-09, Vol.148 (17), p.9113-9130</ispartof><rights>Akadémiai Kiadó, Budapest, Hungary 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-17d8f39a32f3c04b19820ba9c32538809f7060f9e1bc1bd0f5274f29b01e74b93</citedby><cites>FETCH-LOGICAL-c319t-17d8f39a32f3c04b19820ba9c32538809f7060f9e1bc1bd0f5274f29b01e74b93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10973-023-12295-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10973-023-12295-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Mandal, Arpita</creatorcontrib><creatorcontrib>Mondal, Hiranmoy</creatorcontrib><creatorcontrib>Tripathi, Rajat</creatorcontrib><title>Activity of motile microorganism in bioconvective nanofluid flow with Arrhenius activation energy</title><title>Journal of thermal analysis and calorimetry</title><addtitle>J Therm Anal Calorim</addtitle><description>In this current article, we developed a theoretical model for the bioconvective microbial activities through the nanofluid flow. The appearance of activation energy and Arrhenius function are present in this model. The investigation of motile microorganisms with heat generation effects has not been studied yet to the best of our knowledge. The governing equations consist of the continuity equation, the energy equation, the solutal equation, and the concentration equation of microbes. The system of PDEs contained in the governing equation is transformed into a system of nonlinear ODEs by using suitable similarity transformation, and then solved numerically by applying the spectral quasilinearization method. MATLAB software has been used to plot the figures; residual error for this numerical technique and the effect of several fluid parameters are also been demonstrated graphically. Moreover, the skin friction coefficient, the heat transfer coefficient, the Sherwood number, and the density number of motile microbes are also discussed. It has been found that there is a good agreement between the current results with the previously published works. The microbes’ concentration boundary layer increases with the enhancement of the heat generation parameter. A high rate of chemical reaction parameters of microbes enhances the temperature of the system. In addition, the velocity profile increases with the increment of the bioconvection Schmidt number. The increment of the magnetic parameter from
0.1
to
0.5
reduces the Nusselt number by
28.36
%
, but microorganism density increases by
3.53
%
. When the bioconvection Brownian motion parameter varies from
0.1
to
1.2
, the Nusselt number almost decreases by
95.99
%
, which will be significant for one of the physical interests of the investigation.</description><subject>Activation energy</subject><subject>Analytical Chemistry</subject><subject>Boundary layers</subject><subject>Brownian motion</subject><subject>Chemical reactions</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Coefficient of friction</subject><subject>Continuity equation</subject><subject>Density</subject><subject>Fluid flow</subject><subject>Heat generation</subject><subject>Heat transfer coefficients</subject><subject>Inorganic Chemistry</subject><subject>Magnetic properties</subject><subject>Mathematical models</subject><subject>Measurement Science and Instrumentation</subject><subject>Microorganisms</subject><subject>Nanofluids</subject><subject>Nusselt number</subject><subject>Parameters</subject><subject>Physical Chemistry</subject><subject>Polymer Sciences</subject><subject>Schmidt number</subject><subject>Skin friction</subject><subject>Velocity distribution</subject><issn>1388-6150</issn><issn>1588-2926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEqXwBzhZ4hxY20kcH6uKl4TEBc6Wk9qtq8QudtLHv8chSNw47Ry-md0dhG4J3BMA_hAJCM4yoCwjlIoiO56hGSmqKqOCludJs6RLUsAluopxCwBCAJkhtWh6u7f9CXuDO9_bVuPONsH7sFbOxg5bh2vrG-_2ekQ1dsp50w52hU3rD_hg-w1ehLDRzg4RqxFSvfUOa6fD-nSNLoxqo775nXP0-fT4sXzJ3t6fX5eLt6xhRPQZ4avKMKEYNayBvCaiolAr0TBapNtBGA4lGKFJ3ZB6BaagPDdU1EA0z2vB5uhuyt0F_zXo2MutH4JLKyWt8pJyyvlI0YlKL8YYtJG7YDsVTpKAHKuUU5UyVSl_qpTHZGKTKSbYrXX4i_7H9Q2-3HjG</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Mandal, Arpita</creator><creator>Mondal, Hiranmoy</creator><creator>Tripathi, Rajat</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20230901</creationdate><title>Activity of motile microorganism in bioconvective nanofluid flow with Arrhenius activation energy</title><author>Mandal, Arpita ; Mondal, Hiranmoy ; Tripathi, Rajat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-17d8f39a32f3c04b19820ba9c32538809f7060f9e1bc1bd0f5274f29b01e74b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Activation energy</topic><topic>Analytical Chemistry</topic><topic>Boundary layers</topic><topic>Brownian motion</topic><topic>Chemical reactions</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Coefficient of friction</topic><topic>Continuity equation</topic><topic>Density</topic><topic>Fluid flow</topic><topic>Heat generation</topic><topic>Heat transfer coefficients</topic><topic>Inorganic Chemistry</topic><topic>Magnetic properties</topic><topic>Mathematical models</topic><topic>Measurement Science and Instrumentation</topic><topic>Microorganisms</topic><topic>Nanofluids</topic><topic>Nusselt number</topic><topic>Parameters</topic><topic>Physical Chemistry</topic><topic>Polymer Sciences</topic><topic>Schmidt number</topic><topic>Skin friction</topic><topic>Velocity distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mandal, Arpita</creatorcontrib><creatorcontrib>Mondal, Hiranmoy</creatorcontrib><creatorcontrib>Tripathi, Rajat</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of thermal analysis and calorimetry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mandal, Arpita</au><au>Mondal, Hiranmoy</au><au>Tripathi, Rajat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Activity of motile microorganism in bioconvective nanofluid flow with Arrhenius activation energy</atitle><jtitle>Journal of thermal analysis and calorimetry</jtitle><stitle>J Therm Anal Calorim</stitle><date>2023-09-01</date><risdate>2023</risdate><volume>148</volume><issue>17</issue><spage>9113</spage><epage>9130</epage><pages>9113-9130</pages><issn>1388-6150</issn><eissn>1588-2926</eissn><abstract>In this current article, we developed a theoretical model for the bioconvective microbial activities through the nanofluid flow. The appearance of activation energy and Arrhenius function are present in this model. The investigation of motile microorganisms with heat generation effects has not been studied yet to the best of our knowledge. The governing equations consist of the continuity equation, the energy equation, the solutal equation, and the concentration equation of microbes. The system of PDEs contained in the governing equation is transformed into a system of nonlinear ODEs by using suitable similarity transformation, and then solved numerically by applying the spectral quasilinearization method. MATLAB software has been used to plot the figures; residual error for this numerical technique and the effect of several fluid parameters are also been demonstrated graphically. Moreover, the skin friction coefficient, the heat transfer coefficient, the Sherwood number, and the density number of motile microbes are also discussed. It has been found that there is a good agreement between the current results with the previously published works. The microbes’ concentration boundary layer increases with the enhancement of the heat generation parameter. A high rate of chemical reaction parameters of microbes enhances the temperature of the system. In addition, the velocity profile increases with the increment of the bioconvection Schmidt number. The increment of the magnetic parameter from
0.1
to
0.5
reduces the Nusselt number by
28.36
%
, but microorganism density increases by
3.53
%
. When the bioconvection Brownian motion parameter varies from
0.1
to
1.2
, the Nusselt number almost decreases by
95.99
%
, which will be significant for one of the physical interests of the investigation.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10973-023-12295-x</doi><tpages>18</tpages></addata></record> |
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subjects | Activation energy Analytical Chemistry Boundary layers Brownian motion Chemical reactions Chemistry Chemistry and Materials Science Coefficient of friction Continuity equation Density Fluid flow Heat generation Heat transfer coefficients Inorganic Chemistry Magnetic properties Mathematical models Measurement Science and Instrumentation Microorganisms Nanofluids Nusselt number Parameters Physical Chemistry Polymer Sciences Schmidt number Skin friction Velocity distribution |
title | Activity of motile microorganism in bioconvective nanofluid flow with Arrhenius activation energy |
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