Investigation of the Relationship between Morphology and Thermal Conductivity of Powder Metallurgically Prepared Aluminium Foams
Among different promising solutions, coupling closed-cell aluminium foam composite panels prepared by a powder metallurgical method with pore walls interconnected by microcracks, with low thermal conductivity phase change materials (PCMs), is one of the effective ways of increasing thermal conductiv...
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description | Among different promising solutions, coupling closed-cell aluminium foam composite panels prepared by a powder metallurgical method with pore walls interconnected by microcracks, with low thermal conductivity phase change materials (PCMs), is one of the effective ways of increasing thermal conductivity for better performance of thermal storage systems in buildings. The internal structure of the foam formation, related to the porosity which decides the heat transfer rate, plays a significant role in the thermal energy storage performance. The dependence of the heat transfer characteristics on the internal foam structure is studied numerically in this work. The foamable precursor of 99.7% pure aluminium powder mixed with 0.15 wt.% of foaming agent, TiH2 powder, was prepared by compacting, and extruded to a volume of 20 × 40 × 5 mm. Two aluminium foam samples of 40 × 40 × 5 mm were examined with apparent densities of 0.7415 g/cm3 and 1.62375 g/cm3. The internal porous structure of the aluminium foam samples was modelled using X-ray tomography slices through image processing techniques for finite element analysis. The obtained numerical results for the heat transfer rate and effective thermal conductivity of the developed surrogate models revealed the influence of porosity, struts, and the presence of pore walls in determining the heat flow in the internal structure of the foam. Additionally, it was found that the pore size and its distribution determine the uniform heat flow rate in the entire foamed structure. The numerical data were then validated against the analytical predictions of thermal conductivity based on various correlations. It has been found that the simplified models of Bruggemann and Russell and the parallel–series model can predict the excellent effective thermal conductivity results of the foam throughout the porosity range. The optimal internal foam structure was studied to explore the possibilities of using aluminium foam for PCM-based thermal storage applications. |
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The internal structure of the foam formation, related to the porosity which decides the heat transfer rate, plays a significant role in the thermal energy storage performance. The dependence of the heat transfer characteristics on the internal foam structure is studied numerically in this work. The foamable precursor of 99.7% pure aluminium powder mixed with 0.15 wt.% of foaming agent, TiH2 powder, was prepared by compacting, and extruded to a volume of 20 × 40 × 5 mm. Two aluminium foam samples of 40 × 40 × 5 mm were examined with apparent densities of 0.7415 g/cm3 and 1.62375 g/cm3. The internal porous structure of the aluminium foam samples was modelled using X-ray tomography slices through image processing techniques for finite element analysis. The obtained numerical results for the heat transfer rate and effective thermal conductivity of the developed surrogate models revealed the influence of porosity, struts, and the presence of pore walls in determining the heat flow in the internal structure of the foam. Additionally, it was found that the pore size and its distribution determine the uniform heat flow rate in the entire foamed structure. The numerical data were then validated against the analytical predictions of thermal conductivity based on various correlations. It has been found that the simplified models of Bruggemann and Russell and the parallel–series model can predict the excellent effective thermal conductivity results of the foam throughout the porosity range. The optimal internal foam structure was studied to explore the possibilities of using aluminium foam for PCM-based thermal storage applications.</description><identifier>ISSN: 1996-1944</identifier><identifier>EISSN: 1996-1944</identifier><identifier>DOI: 10.3390/ma14133623</identifier><identifier>PMID: 34209607</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Aluminum ; Compacting ; Energy storage ; Finite element method ; Flow velocity ; Foamed metals ; Foaming agents ; Heat conductivity ; Heat transfer ; Heat transmission ; Image processing ; Mathematical models ; Metal foams ; Microcracks ; Morphology ; Numerical analysis ; Particle size ; Phase change materials ; Pore size distribution ; Porosity ; Powder metallurgy ; Simulation ; Software ; Storage systems ; Struts ; Thermal conductivity ; Thermal energy ; Thermal storage ; X ray imagery</subject><ispartof>Materials, 2021-06, Vol.14 (13), p.3623</ispartof><rights>2021 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/). 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The internal structure of the foam formation, related to the porosity which decides the heat transfer rate, plays a significant role in the thermal energy storage performance. The dependence of the heat transfer characteristics on the internal foam structure is studied numerically in this work. The foamable precursor of 99.7% pure aluminium powder mixed with 0.15 wt.% of foaming agent, TiH2 powder, was prepared by compacting, and extruded to a volume of 20 × 40 × 5 mm. Two aluminium foam samples of 40 × 40 × 5 mm were examined with apparent densities of 0.7415 g/cm3 and 1.62375 g/cm3. The internal porous structure of the aluminium foam samples was modelled using X-ray tomography slices through image processing techniques for finite element analysis. The obtained numerical results for the heat transfer rate and effective thermal conductivity of the developed surrogate models revealed the influence of porosity, struts, and the presence of pore walls in determining the heat flow in the internal structure of the foam. Additionally, it was found that the pore size and its distribution determine the uniform heat flow rate in the entire foamed structure. The numerical data were then validated against the analytical predictions of thermal conductivity based on various correlations. It has been found that the simplified models of Bruggemann and Russell and the parallel–series model can predict the excellent effective thermal conductivity results of the foam throughout the porosity range. The optimal internal foam structure was studied to explore the possibilities of using aluminium foam for PCM-based thermal storage applications.</description><subject>Aluminum</subject><subject>Compacting</subject><subject>Energy storage</subject><subject>Finite element method</subject><subject>Flow velocity</subject><subject>Foamed metals</subject><subject>Foaming agents</subject><subject>Heat conductivity</subject><subject>Heat transfer</subject><subject>Heat transmission</subject><subject>Image processing</subject><subject>Mathematical models</subject><subject>Metal foams</subject><subject>Microcracks</subject><subject>Morphology</subject><subject>Numerical analysis</subject><subject>Particle size</subject><subject>Phase change materials</subject><subject>Pore size distribution</subject><subject>Porosity</subject><subject>Powder metallurgy</subject><subject>Simulation</subject><subject>Software</subject><subject>Storage systems</subject><subject>Struts</subject><subject>Thermal conductivity</subject><subject>Thermal energy</subject><subject>Thermal storage</subject><subject>X ray imagery</subject><issn>1996-1944</issn><issn>1996-1944</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkU1rHDEMhk1paMI2l_wCQy-lsK2_dsa-FMKStIGEhpCcjcfW7jh47Knt2bC3_vTONqFfOkgyevQiSwidUfKRc0U-DYYKynnD-Ct0QpVqllQJ8fqv_BidlvJIZuOcSqbeoGMuGFENaU_Qj6u4g1L91lSfIk4bXHvAdxB-vUvvR9xBfQKI-CblsU8hbffYRIfve8iDCXidopts9Ttf94f-2_TkIOMbqCaEKW-9neMe32YYTQaHz8M0-OinAV8mM5S36GhjQoHTl7hAD5cX9-uvy-tvX67W59dLyyWvS7WCRirlWkah65g0FJgz3exgJRl01KxEyy2T0jKlWsdFZxQB65TYKMuAL9DnZ91x6gZwFmLNJugx-8HkvU7G638r0fd6m3Zaska1XM0C718Ecvo-zTvTgy8WQjAR0lQ0WwkpCJG8mdF3_6GPacpx_t6BUkKyduYW6MMzZXMqJcPm9zCU6MNt9Z_b8p98l5ib</recordid><startdate>20210629</startdate><enddate>20210629</enddate><creator>Gopinathan, Arun</creator><creator>Jerz, Jaroslav</creator><creator>Kováčik, Jaroslav</creator><creator>Dvorák, Tomáš</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</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>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4723-2509</orcidid><orcidid>https://orcid.org/0000-0003-3277-4409</orcidid><orcidid>https://orcid.org/0000-0002-6970-0406</orcidid></search><sort><creationdate>20210629</creationdate><title>Investigation of the Relationship between Morphology and Thermal Conductivity of Powder Metallurgically Prepared Aluminium Foams</title><author>Gopinathan, Arun ; Jerz, Jaroslav ; Kováčik, Jaroslav ; Dvorák, Tomáš</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-95e6899d721ebb28a1e2dabe2de582eb1a5473c288c2997d34ba90ecd94f9c2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aluminum</topic><topic>Compacting</topic><topic>Energy storage</topic><topic>Finite element method</topic><topic>Flow velocity</topic><topic>Foamed metals</topic><topic>Foaming agents</topic><topic>Heat conductivity</topic><topic>Heat transfer</topic><topic>Heat transmission</topic><topic>Image processing</topic><topic>Mathematical models</topic><topic>Metal foams</topic><topic>Microcracks</topic><topic>Morphology</topic><topic>Numerical analysis</topic><topic>Particle size</topic><topic>Phase change materials</topic><topic>Pore size distribution</topic><topic>Porosity</topic><topic>Powder metallurgy</topic><topic>Simulation</topic><topic>Software</topic><topic>Storage systems</topic><topic>Struts</topic><topic>Thermal conductivity</topic><topic>Thermal energy</topic><topic>Thermal storage</topic><topic>X ray imagery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gopinathan, Arun</creatorcontrib><creatorcontrib>Jerz, Jaroslav</creatorcontrib><creatorcontrib>Kováčik, Jaroslav</creatorcontrib><creatorcontrib>Dvorák, Tomáš</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</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 Research Database</collection><collection>Materials Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gopinathan, Arun</au><au>Jerz, Jaroslav</au><au>Kováčik, Jaroslav</au><au>Dvorák, Tomáš</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation of the Relationship between Morphology and Thermal Conductivity of Powder Metallurgically Prepared Aluminium Foams</atitle><jtitle>Materials</jtitle><date>2021-06-29</date><risdate>2021</risdate><volume>14</volume><issue>13</issue><spage>3623</spage><pages>3623-</pages><issn>1996-1944</issn><eissn>1996-1944</eissn><abstract>Among different promising solutions, coupling closed-cell aluminium foam composite panels prepared by a powder metallurgical method with pore walls interconnected by microcracks, with low thermal conductivity phase change materials (PCMs), is one of the effective ways of increasing thermal conductivity for better performance of thermal storage systems in buildings. The internal structure of the foam formation, related to the porosity which decides the heat transfer rate, plays a significant role in the thermal energy storage performance. The dependence of the heat transfer characteristics on the internal foam structure is studied numerically in this work. The foamable precursor of 99.7% pure aluminium powder mixed with 0.15 wt.% of foaming agent, TiH2 powder, was prepared by compacting, and extruded to a volume of 20 × 40 × 5 mm. Two aluminium foam samples of 40 × 40 × 5 mm were examined with apparent densities of 0.7415 g/cm3 and 1.62375 g/cm3. The internal porous structure of the aluminium foam samples was modelled using X-ray tomography slices through image processing techniques for finite element analysis. The obtained numerical results for the heat transfer rate and effective thermal conductivity of the developed surrogate models revealed the influence of porosity, struts, and the presence of pore walls in determining the heat flow in the internal structure of the foam. Additionally, it was found that the pore size and its distribution determine the uniform heat flow rate in the entire foamed structure. The numerical data were then validated against the analytical predictions of thermal conductivity based on various correlations. It has been found that the simplified models of Bruggemann and Russell and the parallel–series model can predict the excellent effective thermal conductivity results of the foam throughout the porosity range. The optimal internal foam structure was studied to explore the possibilities of using aluminium foam for PCM-based thermal storage applications.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>34209607</pmid><doi>10.3390/ma14133623</doi><orcidid>https://orcid.org/0000-0002-4723-2509</orcidid><orcidid>https://orcid.org/0000-0003-3277-4409</orcidid><orcidid>https://orcid.org/0000-0002-6970-0406</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aluminum Compacting Energy storage Finite element method Flow velocity Foamed metals Foaming agents Heat conductivity Heat transfer Heat transmission Image processing Mathematical models Metal foams Microcracks Morphology Numerical analysis Particle size Phase change materials Pore size distribution Porosity Powder metallurgy Simulation Software Storage systems Struts Thermal conductivity Thermal energy Thermal storage X ray imagery |
title | Investigation of the Relationship between Morphology and Thermal Conductivity of Powder Metallurgically Prepared Aluminium Foams |
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