On the modeling of the multi-segment capacitance: a fractional-order model and Ag-doped SnO2 electrode fabrication
This study proposes a methodology of electrochemical capacitor modeling via fractional-order impedance equation for porous electrodes fabricated with pure and Ag-doped SnO 2 nanoparticles. It was carried out to prove the assumption that fractional-order integrodifferential expressions better model t...
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Veröffentlicht in: | Journal of materials science 2022, Vol.57 (4), p.2775-2793 |
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creator | Kavuran, Gürkan Gurgenç, Turan Özkaynak, Fatih |
description | This study proposes a methodology of electrochemical capacitor modeling via fractional-order impedance equation for porous electrodes fabricated with pure and Ag-doped SnO
2
nanoparticles. It was carried out to prove the assumption that fractional-order integrodifferential expressions better model the various real systems. Firstly, the pure and different amounts of silver (Ag)-doped tin oxide (SnO
2
) nanoparticles were produced using the hydrothermal method. Tin (II) chloride dihydrate (SnCl
2
·2H
2
O) was used as an Sn source and (AgNO
3
) as an Ag source. Hydrothermal synthesis was completed at 200 °C for 24 h. The synthesized particles were calcined at 600 °C for 2 h. All of the structural and morphological properties were investigated by FT-IR, XRD, FE-SEM, and EDX. It has been observed that the hydrothermal method successfully produced nano-SnO
2
particles without and with Ag dopant. As a result of the applied procedure, the structural properties of SnO
2
nanoparticles, such as physical shape, were changed from spherical-like to nano-sheet with the Ag doping. Next, the nanopowders were coated on AZ31 magnesium sheets. Electrochemical impedance spectroscopy measurements were examined to determine the capacitance of EC materials with Ag-doped SnO
2
nanoparticles. Finally, using the multi-objective cost function, the experimentally measured real and imaginary impedance parts are fitted to the proposed fractional-order model by the particle swarm optimization algorithm. It has been proven that fractional-order modeling enables finding the electrical parameters and properties of EC with higher accuracy. Furthermore, the Ag-doped SnO
2
electrode can significantly improve electrical performance because of the increase in conductivity. The total capacitance gets increased by 10.788% for 7% Ag-doped SnO
2
against pure SnO
2
.
Graphical abstract |
doi_str_mv | 10.1007/s10853-021-06670-y |
format | Article |
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2
nanoparticles. It was carried out to prove the assumption that fractional-order integrodifferential expressions better model the various real systems. Firstly, the pure and different amounts of silver (Ag)-doped tin oxide (SnO
2
) nanoparticles were produced using the hydrothermal method. Tin (II) chloride dihydrate (SnCl
2
·2H
2
O) was used as an Sn source and (AgNO
3
) as an Ag source. Hydrothermal synthesis was completed at 200 °C for 24 h. The synthesized particles were calcined at 600 °C for 2 h. All of the structural and morphological properties were investigated by FT-IR, XRD, FE-SEM, and EDX. It has been observed that the hydrothermal method successfully produced nano-SnO
2
particles without and with Ag dopant. As a result of the applied procedure, the structural properties of SnO
2
nanoparticles, such as physical shape, were changed from spherical-like to nano-sheet with the Ag doping. Next, the nanopowders were coated on AZ31 magnesium sheets. Electrochemical impedance spectroscopy measurements were examined to determine the capacitance of EC materials with Ag-doped SnO
2
nanoparticles. Finally, using the multi-objective cost function, the experimentally measured real and imaginary impedance parts are fitted to the proposed fractional-order model by the particle swarm optimization algorithm. It has been proven that fractional-order modeling enables finding the electrical parameters and properties of EC with higher accuracy. Furthermore, the Ag-doped SnO
2
electrode can significantly improve electrical performance because of the increase in conductivity. The total capacitance gets increased by 10.788% for 7% Ag-doped SnO
2
against pure SnO
2
.
Graphical abstract</description><identifier>ISSN: 0022-2461</identifier><identifier>EISSN: 1573-4803</identifier><identifier>DOI: 10.1007/s10853-021-06670-y</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Capacitance ; Characterization and Evaluation of Materials ; Chemistry and Materials Science ; Classical Mechanics ; Cost function ; Crystallography and Scattering Methods ; Electrochemical impedance spectroscopy ; Energy Materials ; Magnesium ; Materials Science ; Metal sheets ; Modelling ; Nanoparticles ; Particle swarm optimization ; Polymer Sciences ; Silver nitrate ; Solid Mechanics ; Tin ; Tin chloride ; Tin dioxide ; Tin oxides</subject><ispartof>Journal of materials science, 2022, Vol.57 (4), p.2775-2793</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-31e5acc9f46893739df700f8d6afc4011e253f0ed2e03d01f05908afc63d7cf3</citedby><cites>FETCH-LOGICAL-c319t-31e5acc9f46893739df700f8d6afc4011e253f0ed2e03d01f05908afc63d7cf3</cites><orcidid>0000-0003-2651-5005</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10853-021-06670-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10853-021-06670-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Kavuran, Gürkan</creatorcontrib><creatorcontrib>Gurgenç, Turan</creatorcontrib><creatorcontrib>Özkaynak, Fatih</creatorcontrib><title>On the modeling of the multi-segment capacitance: a fractional-order model and Ag-doped SnO2 electrode fabrication</title><title>Journal of materials science</title><addtitle>J Mater Sci</addtitle><description>This study proposes a methodology of electrochemical capacitor modeling via fractional-order impedance equation for porous electrodes fabricated with pure and Ag-doped SnO
2
nanoparticles. It was carried out to prove the assumption that fractional-order integrodifferential expressions better model the various real systems. Firstly, the pure and different amounts of silver (Ag)-doped tin oxide (SnO
2
) nanoparticles were produced using the hydrothermal method. Tin (II) chloride dihydrate (SnCl
2
·2H
2
O) was used as an Sn source and (AgNO
3
) as an Ag source. Hydrothermal synthesis was completed at 200 °C for 24 h. The synthesized particles were calcined at 600 °C for 2 h. All of the structural and morphological properties were investigated by FT-IR, XRD, FE-SEM, and EDX. It has been observed that the hydrothermal method successfully produced nano-SnO
2
particles without and with Ag dopant. As a result of the applied procedure, the structural properties of SnO
2
nanoparticles, such as physical shape, were changed from spherical-like to nano-sheet with the Ag doping. Next, the nanopowders were coated on AZ31 magnesium sheets. Electrochemical impedance spectroscopy measurements were examined to determine the capacitance of EC materials with Ag-doped SnO
2
nanoparticles. Finally, using the multi-objective cost function, the experimentally measured real and imaginary impedance parts are fitted to the proposed fractional-order model by the particle swarm optimization algorithm. It has been proven that fractional-order modeling enables finding the electrical parameters and properties of EC with higher accuracy. Furthermore, the Ag-doped SnO
2
electrode can significantly improve electrical performance because of the increase in conductivity. The total capacitance gets increased by 10.788% for 7% Ag-doped SnO
2
against pure SnO
2
.
Graphical abstract</description><subject>Algorithms</subject><subject>Capacitance</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Classical Mechanics</subject><subject>Cost function</subject><subject>Crystallography and Scattering Methods</subject><subject>Electrochemical impedance spectroscopy</subject><subject>Energy Materials</subject><subject>Magnesium</subject><subject>Materials Science</subject><subject>Metal sheets</subject><subject>Modelling</subject><subject>Nanoparticles</subject><subject>Particle swarm optimization</subject><subject>Polymer Sciences</subject><subject>Silver nitrate</subject><subject>Solid Mechanics</subject><subject>Tin</subject><subject>Tin chloride</subject><subject>Tin dioxide</subject><subject>Tin oxides</subject><issn>0022-2461</issn><issn>1573-4803</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kE1LAzEQhoMoWKt_wFPAc3SS7Ke3UvyCQg_2HmIyWbdsNzVJD_33pq7gzdMwzPu8DA8htxzuOUD9EDk0pWQgOIOqqoEdz8iMl7VkRQPynMwAhGCiqPgluYpxCwBlLfiMhPVI0yfSnbc49GNHvZv2w5B6FrHb4Zio0Xtt-qRHg49UUxe0Sb0f9cB8sBgmmurR0kXHrN-jpe_jWlAc0KSQj9Tpj9AbfaKuyYXTQ8Sb3zknm-enzfKVrdYvb8vFihnJ28Qkx1Ib07qialpZy9a6GsA1ttLOFMA5ilI6QCsQpAXuoGyhybdK2to4OSd3U-0--K8DxqS2_hDyz1GJSvBcKco2p8SUMsHHGNCpfeh3OhwVB3VSqya1KqtVP2rVMUNygmIOjx2Gv-p_qG-qS31E</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Kavuran, Gürkan</creator><creator>Gurgenç, Turan</creator><creator>Özkaynak, Fatih</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-2651-5005</orcidid></search><sort><creationdate>2022</creationdate><title>On the modeling of the multi-segment capacitance: a fractional-order model and Ag-doped SnO2 electrode fabrication</title><author>Kavuran, Gürkan ; Gurgenç, Turan ; Özkaynak, Fatih</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-31e5acc9f46893739df700f8d6afc4011e253f0ed2e03d01f05908afc63d7cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Capacitance</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry and Materials Science</topic><topic>Classical Mechanics</topic><topic>Cost function</topic><topic>Crystallography and Scattering Methods</topic><topic>Electrochemical impedance spectroscopy</topic><topic>Energy Materials</topic><topic>Magnesium</topic><topic>Materials Science</topic><topic>Metal sheets</topic><topic>Modelling</topic><topic>Nanoparticles</topic><topic>Particle swarm optimization</topic><topic>Polymer Sciences</topic><topic>Silver nitrate</topic><topic>Solid Mechanics</topic><topic>Tin</topic><topic>Tin chloride</topic><topic>Tin dioxide</topic><topic>Tin oxides</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kavuran, Gürkan</creatorcontrib><creatorcontrib>Gurgenç, Turan</creatorcontrib><creatorcontrib>Özkaynak, Fatih</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</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><jtitle>Journal of materials science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kavuran, Gürkan</au><au>Gurgenç, Turan</au><au>Özkaynak, Fatih</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the modeling of the multi-segment capacitance: a fractional-order model and Ag-doped SnO2 electrode fabrication</atitle><jtitle>Journal of materials science</jtitle><stitle>J Mater Sci</stitle><date>2022</date><risdate>2022</risdate><volume>57</volume><issue>4</issue><spage>2775</spage><epage>2793</epage><pages>2775-2793</pages><issn>0022-2461</issn><eissn>1573-4803</eissn><abstract>This study proposes a methodology of electrochemical capacitor modeling via fractional-order impedance equation for porous electrodes fabricated with pure and Ag-doped SnO
2
nanoparticles. It was carried out to prove the assumption that fractional-order integrodifferential expressions better model the various real systems. Firstly, the pure and different amounts of silver (Ag)-doped tin oxide (SnO
2
) nanoparticles were produced using the hydrothermal method. Tin (II) chloride dihydrate (SnCl
2
·2H
2
O) was used as an Sn source and (AgNO
3
) as an Ag source. Hydrothermal synthesis was completed at 200 °C for 24 h. The synthesized particles were calcined at 600 °C for 2 h. All of the structural and morphological properties were investigated by FT-IR, XRD, FE-SEM, and EDX. It has been observed that the hydrothermal method successfully produced nano-SnO
2
particles without and with Ag dopant. As a result of the applied procedure, the structural properties of SnO
2
nanoparticles, such as physical shape, were changed from spherical-like to nano-sheet with the Ag doping. Next, the nanopowders were coated on AZ31 magnesium sheets. Electrochemical impedance spectroscopy measurements were examined to determine the capacitance of EC materials with Ag-doped SnO
2
nanoparticles. Finally, using the multi-objective cost function, the experimentally measured real and imaginary impedance parts are fitted to the proposed fractional-order model by the particle swarm optimization algorithm. It has been proven that fractional-order modeling enables finding the electrical parameters and properties of EC with higher accuracy. Furthermore, the Ag-doped SnO
2
electrode can significantly improve electrical performance because of the increase in conductivity. The total capacitance gets increased by 10.788% for 7% Ag-doped SnO
2
against pure SnO
2
.
Graphical abstract</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10853-021-06670-y</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0003-2651-5005</orcidid></addata></record> |
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subjects | Algorithms Capacitance Characterization and Evaluation of Materials Chemistry and Materials Science Classical Mechanics Cost function Crystallography and Scattering Methods Electrochemical impedance spectroscopy Energy Materials Magnesium Materials Science Metal sheets Modelling Nanoparticles Particle swarm optimization Polymer Sciences Silver nitrate Solid Mechanics Tin Tin chloride Tin dioxide Tin oxides |
title | On the modeling of the multi-segment capacitance: a fractional-order model and Ag-doped SnO2 electrode fabrication |
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