Mathematical modeling of fluidized bed drying kinetics of unhulled rice in a swirling fluidized bed dryer with bed ratio 1.25
Drying of unhulled rice was investigated at an air temperature set of 45 °C and for 60 minutes. Different masses of unhulled rice (150 gr, 200 gr, 250 gr, and 300 gr) were dried using a swirling fluidized bed dryer. The experiment drying data of unhulled rice were applied for six drying models, name...
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description | Drying of unhulled rice was investigated at an air temperature set of 45 °C and for 60 minutes. Different masses of unhulled rice (150 gr, 200 gr, 250 gr, and 300 gr) were dried using a swirling fluidized bed dryer. The experiment drying data of unhulled rice were applied for six drying models, namely Lewis, Page, Henderson and Pabis, Logarithmic, Midilli et al., and Linear-plus-exponential. The model performance was evaluated by comparing the Root Mean Square Error (RMSE) and the coefficient of determination (R2) of the experimental and predicted moisture ratios using non-linear regression analysis. The linear-plus-exponential model is the most suitable/appropriate model to describe the drying kinetics of unhulled rice with 0.012930738 of RSME and 0.998794312 of R2. The lowest and highest values of RMSE and R2 respectively from a particular model are the best models in predicting unhulled rice drying behavior. |
doi_str_mv | 10.1063/5.0114385 |
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A. ; Sitorus, A.</creator><contributor>Dyartanti, Endah Retno ; Hisjam, Muhammad ; Prabowo, Aditya Rio ; Pramono, Subuh ; Kaavessina, Mujtahid ; Ibrahim, Muhammad Hamka ; Budiman, Anatta Wahyu</contributor><creatorcontrib>Novrinaldi ; Putra, S. A. ; Sitorus, A. ; Dyartanti, Endah Retno ; Hisjam, Muhammad ; Prabowo, Aditya Rio ; Pramono, Subuh ; Kaavessina, Mujtahid ; Ibrahim, Muhammad Hamka ; Budiman, Anatta Wahyu</creatorcontrib><description>Drying of unhulled rice was investigated at an air temperature set of 45 °C and for 60 minutes. Different masses of unhulled rice (150 gr, 200 gr, 250 gr, and 300 gr) were dried using a swirling fluidized bed dryer. The experiment drying data of unhulled rice were applied for six drying models, namely Lewis, Page, Henderson and Pabis, Logarithmic, Midilli et al., and Linear-plus-exponential. The model performance was evaluated by comparing the Root Mean Square Error (RMSE) and the coefficient of determination (R2) of the experimental and predicted moisture ratios using non-linear regression analysis. The linear-plus-exponential model is the most suitable/appropriate model to describe the drying kinetics of unhulled rice with 0.012930738 of RSME and 0.998794312 of R2. The lowest and highest values of RMSE and R2 respectively from a particular model are the best models in predicting unhulled rice drying behavior.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0114385</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Air temperature ; Drying ; Fluidized beds ; Kinetics ; Moisture effects ; Regression analysis ; Regression models ; Root-mean-square errors ; Swirling</subject><ispartof>AIP conference proceedings, 2023, Vol.2674 (1)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). 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A.</creatorcontrib><creatorcontrib>Sitorus, A.</creatorcontrib><title>Mathematical modeling of fluidized bed drying kinetics of unhulled rice in a swirling fluidized bed dryer with bed ratio 1.25</title><title>AIP conference proceedings</title><description>Drying of unhulled rice was investigated at an air temperature set of 45 °C and for 60 minutes. Different masses of unhulled rice (150 gr, 200 gr, 250 gr, and 300 gr) were dried using a swirling fluidized bed dryer. The experiment drying data of unhulled rice were applied for six drying models, namely Lewis, Page, Henderson and Pabis, Logarithmic, Midilli et al., and Linear-plus-exponential. The model performance was evaluated by comparing the Root Mean Square Error (RMSE) and the coefficient of determination (R2) of the experimental and predicted moisture ratios using non-linear regression analysis. The linear-plus-exponential model is the most suitable/appropriate model to describe the drying kinetics of unhulled rice with 0.012930738 of RSME and 0.998794312 of R2. The lowest and highest values of RMSE and R2 respectively from a particular model are the best models in predicting unhulled rice drying behavior.</description><subject>Air temperature</subject><subject>Drying</subject><subject>Fluidized beds</subject><subject>Kinetics</subject><subject>Moisture effects</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Root-mean-square errors</subject><subject>Swirling</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kU1LxDAQhoMouK4e_AcBb0LXTNJ89CiLX7DiRcFbSJvEzdpta9q6rOB_t_sBHgQPQ2YyzztvyCB0DmQCRLArPiEAKVP8AI2Ac0ikAHGIRoRkaUJT9nqMTtp2QQjNpFQj9P1ourlbmi4UpsTL2royVG-49tiXfbDhy1mcD2HjenP_Hio3oO0G6Kt5X5ZDL4bC4VBhg9tViFv9H7GLeBW6-baMg1uNYUL5KTrypmzd2f4co5fbm-fpfTJ7unuYXs-SBoTqEpEK7nMBximVUZtBam3OmKPSSpLnsuDEeyO9cDBkjBTG0Vw564ClUmWEjdHFbm4T64_etZ1e1H2sBktNFVDFCRN8oC53VFuEbvPGSjcxLE1c6886aq73X6sb6_-DgejNLn4F7Ad5AXwn</recordid><startdate>20230512</startdate><enddate>20230512</enddate><creator>Novrinaldi</creator><creator>Putra, S. A.</creator><creator>Sitorus, A.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20230512</creationdate><title>Mathematical modeling of fluidized bed drying kinetics of unhulled rice in a swirling fluidized bed dryer with bed ratio 1.25</title><author>Novrinaldi ; Putra, S. A. ; Sitorus, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p168t-6465fb61ae8892d914ddb33e27d70bb7c50ffa7f6e150f30cae2b8ede13478903</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air temperature</topic><topic>Drying</topic><topic>Fluidized beds</topic><topic>Kinetics</topic><topic>Moisture effects</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Root-mean-square errors</topic><topic>Swirling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Novrinaldi</creatorcontrib><creatorcontrib>Putra, S. A.</creatorcontrib><creatorcontrib>Sitorus, A.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Novrinaldi</au><au>Putra, S. A.</au><au>Sitorus, A.</au><au>Dyartanti, Endah Retno</au><au>Hisjam, Muhammad</au><au>Prabowo, Aditya Rio</au><au>Pramono, Subuh</au><au>Kaavessina, Mujtahid</au><au>Ibrahim, Muhammad Hamka</au><au>Budiman, Anatta Wahyu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Mathematical modeling of fluidized bed drying kinetics of unhulled rice in a swirling fluidized bed dryer with bed ratio 1.25</atitle><btitle>AIP conference proceedings</btitle><date>2023-05-12</date><risdate>2023</risdate><volume>2674</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Drying of unhulled rice was investigated at an air temperature set of 45 °C and for 60 minutes. Different masses of unhulled rice (150 gr, 200 gr, 250 gr, and 300 gr) were dried using a swirling fluidized bed dryer. The experiment drying data of unhulled rice were applied for six drying models, namely Lewis, Page, Henderson and Pabis, Logarithmic, Midilli et al., and Linear-plus-exponential. The model performance was evaluated by comparing the Root Mean Square Error (RMSE) and the coefficient of determination (R2) of the experimental and predicted moisture ratios using non-linear regression analysis. The linear-plus-exponential model is the most suitable/appropriate model to describe the drying kinetics of unhulled rice with 0.012930738 of RSME and 0.998794312 of R2. The lowest and highest values of RMSE and R2 respectively from a particular model are the best models in predicting unhulled rice drying behavior.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0114385</doi><tpages>10</tpages></addata></record> |
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subjects | Air temperature Drying Fluidized beds Kinetics Moisture effects Regression analysis Regression models Root-mean-square errors Swirling |
title | Mathematical modeling of fluidized bed drying kinetics of unhulled rice in a swirling fluidized bed dryer with bed ratio 1.25 |
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