Kadhim Al-Chlaihawi, Bahjat Hassan Alyas, Banan Najim Abdullah
{"title":"利用复合涡轮优化粗糙化太阳能空气加热器管道内的传热和流动特性","authors":"Kadhim Al-Chlaihawi, Bahjat Hassan Alyas, Banan Najim Abdullah","doi":"10.1002/apj.3126","DOIUrl":null,"url":null,"abstract":"<p>Thermal systems for solar air heating have been widely used in both industrial and residential contexts, and are essential for converting and recovering solar energy. Thermal performance in solar air heaters (SAHs) can be improved through the repetitive application of artificial roughness to the surfaces. This research work includes a numerical evaluation of SAH performance with artificial rough surfaces made up of combined transverse trapezoidal ribs and chamfered grooves. The ANSYS Fluent software version 2023 R1 was used to simulate SAH with varying relative roughness pitch (\n<span></span><math>\n <mi>P</mi>\n <mo>/</mo>\n <mi>e</mi>\n <mo>=</mo>\n <mn>7.14</mn>\n <mo>−</mo>\n <mn>35.71</mn></math>), relative roughness heights (\n<span></span><math>\n <mi>e</mi>\n <mo>/</mo>\n <msub>\n <mi>D</mi>\n <mi>h</mi>\n </msub>\n <mo>=</mo>\n <mn>.021</mn>\n <mo>−</mo>\n <mn>.042</mn></math>), and Reynolds number (\n<span></span><math>\n <mi>Re</mi>\n <mo>=</mo>\n <mn>6000</mn>\n <mo>−</mo>\n <mn>18</mn>\n <mspace></mspace>\n <mn>000</mn></math>). The RNG \n<span></span><math>\n <mi>k</mi>\n <mo>−</mo>\n <mi>ϵ</mi></math> model was chosen to forecast an enhancement in Nusselt number (\n<span></span><math>\n <mi>Nu</mi></math>), friction factor (\n<span></span><math>\n <mi>f</mi></math>), and thermohydraulic performance factor (TPF) for the proposed roughness. Out of multiple roughness parameters analyzed, it was determined that the compound turbulator with \n<span></span><math>\n <mi>P</mi>\n <mo>/</mo>\n <mi>e</mi>\n <mo>=</mo>\n <mn>10.71</mn></math> and \n<span></span><math>\n <mi>e</mi>\n <mo>/</mo>\n <msub>\n <mi>D</mi>\n <mi>h</mi>\n </msub>\n <mo>=</mo>\n <mn>.042</mn></math>, were the most effective. The TPF for this scenario was determined to be 2.12 at \n<span></span><math>\n <mi>Re</mi>\n <mo>=</mo>\n <mn>6000</mn></math>. Finally, a numerical based empirical correlations for \n<span></span><math>\n <mi>Nu</mi></math> and \n<span></span><math>\n <mi>f</mi></math> in terms of Re, \n<span></span><math>\n <mi>P</mi>\n <mo>/</mo>\n <mi>e</mi></math>, and \n<span></span><math>\n <mi>e</mi>\n <mo>/</mo>\n <msub>\n <mi>D</mi>\n <mi>h</mi>\n </msub></math> were developed.</p>","PeriodicalId":49237,"journal":{"name":"Asia-Pacific Journal of Chemical Engineering","volume":"19 5","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing of heat transfer and flow characteristics within a roughened solar air heater duct with compound turbulators\",\"authors\":\"Kadhim Al-Chlaihawi, Bahjat Hassan Alyas, Banan Najim Abdullah\",\"doi\":\"10.1002/apj.3126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Thermal systems for solar air heating have been widely used in both industrial and residential contexts, and are essential for converting and recovering solar energy. Thermal performance in solar air heaters (SAHs) can be improved through the repetitive application of artificial roughness to the surfaces. This research work includes a numerical evaluation of SAH performance with artificial rough surfaces made up of combined transverse trapezoidal ribs and chamfered grooves. The ANSYS Fluent software version 2023 R1 was used to simulate SAH with varying relative roughness pitch (\\n<span></span><math>\\n <mi>P</mi>\\n <mo>/</mo>\\n <mi>e</mi>\\n <mo>=</mo>\\n <mn>7.14</mn>\\n <mo>−</mo>\\n <mn>35.71</mn></math>), relative roughness heights (\\n<span></span><math>\\n <mi>e</mi>\\n <mo>/</mo>\\n <msub>\\n <mi>D</mi>\\n <mi>h</mi>\\n </msub>\\n <mo>=</mo>\\n <mn>.021</mn>\\n <mo>−</mo>\\n <mn>.042</mn></math>), and Reynolds number (\\n<span></span><math>\\n <mi>Re</mi>\\n <mo>=</mo>\\n <mn>6000</mn>\\n <mo>−</mo>\\n <mn>18</mn>\\n <mspace></mspace>\\n <mn>000</mn></math>). The RNG \\n<span></span><math>\\n <mi>k</mi>\\n <mo>−</mo>\\n <mi>ϵ</mi></math> model was chosen to forecast an enhancement in Nusselt number (\\n<span></span><math>\\n <mi>Nu</mi></math>), friction factor (\\n<span></span><math>\\n <mi>f</mi></math>), and thermohydraulic performance factor (TPF) for the proposed roughness. Out of multiple roughness parameters analyzed, it was determined that the compound turbulator with \\n<span></span><math>\\n <mi>P</mi>\\n <mo>/</mo>\\n <mi>e</mi>\\n <mo>=</mo>\\n <mn>10.71</mn></math> and \\n<span></span><math>\\n <mi>e</mi>\\n <mo>/</mo>\\n <msub>\\n <mi>D</mi>\\n <mi>h</mi>\\n </msub>\\n <mo>=</mo>\\n <mn>.042</mn></math>, were the most effective. The TPF for this scenario was determined to be 2.12 at \\n<span></span><math>\\n <mi>Re</mi>\\n <mo>=</mo>\\n <mn>6000</mn></math>. Finally, a numerical based empirical correlations for \\n<span></span><math>\\n <mi>Nu</mi></math> and \\n<span></span><math>\\n <mi>f</mi></math> in terms of Re, \\n<span></span><math>\\n <mi>P</mi>\\n <mo>/</mo>\\n <mi>e</mi></math>, and \\n<span></span><math>\\n <mi>e</mi>\\n <mo>/</mo>\\n <msub>\\n <mi>D</mi>\\n <mi>h</mi>\\n </msub></math> were developed.</p>\",\"PeriodicalId\":49237,\"journal\":{\"name\":\"Asia-Pacific Journal of Chemical Engineering\",\"volume\":\"19 5\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Journal of Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/apj.3126\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Journal of Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/apj.3126","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Optimizing of heat transfer and flow characteristics within a roughened solar air heater duct with compound turbulators
Thermal systems for solar air heating have been widely used in both industrial and residential contexts, and are essential for converting and recovering solar energy. Thermal performance in solar air heaters (SAHs) can be improved through the repetitive application of artificial roughness to the surfaces. This research work includes a numerical evaluation of SAH performance with artificial rough surfaces made up of combined transverse trapezoidal ribs and chamfered grooves. The ANSYS Fluent software version 2023 R1 was used to simulate SAH with varying relative roughness pitch (
), relative roughness heights (
), and Reynolds number (
). The RNG
model was chosen to forecast an enhancement in Nusselt number (
), friction factor (
), and thermohydraulic performance factor (TPF) for the proposed roughness. Out of multiple roughness parameters analyzed, it was determined that the compound turbulator with
and
, were the most effective. The TPF for this scenario was determined to be 2.12 at
. Finally, a numerical based empirical correlations for
and
in terms of Re,
, and
were developed.
期刊介绍:
Asia-Pacific Journal of Chemical Engineering is aimed at capturing current developments and initiatives in chemical engineering related and specialised areas. Publishing six issues each year, the journal showcases innovative technological developments, providing an opportunity for technology transfer and collaboration.
Asia-Pacific Journal of Chemical Engineering will focus particular attention on the key areas of: Process Application (separation, polymer, catalysis, nanotechnology, electrochemistry, nuclear technology); Energy and Environmental Technology (materials for energy storage and conversion, coal gasification, gas liquefaction, air pollution control, water treatment, waste utilization and management, nuclear waste remediation); and Biochemical Engineering (including targeted drug delivery applications).