Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology
Graphene exhibits exceptional electrothermal conversion efficiency, making it a promising candidate as a novel heat source for far-infrared drying. This study examined the impacts of infrared radiation temperature (45–55 °C), air flow (300–460 m3/h), and grain flow rate (6–8 kg/min) on the stress cr...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X24016198 |
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| author | Jiyou An Yuanjie Du Jianchun Yan Hai Wei Huanxiong Xie |
| author_facet | Jiyou An Yuanjie Du Jianchun Yan Hai Wei Huanxiong Xie |
| author_sort | Jiyou An |
| collection | DOAJ |
| description | Graphene exhibits exceptional electrothermal conversion efficiency, making it a promising candidate as a novel heat source for far-infrared drying. This study examined the impacts of infrared radiation temperature (45–55 °C), air flow (300–460 m3/h), and grain flow rate (6–8 kg/min) on the stress cracking index (SCI), specific energy consumption (SEC), and thermal efficiency. The Box–Behnken response surface methodology and expectation function method were employed to model and optimize the quality of far-infrared drying of paddy graphene. The findings indicate that both the drying rate and SCI of paddy increased with an increase in the infrared temperature and grain-flow rate; higher values of these parameters resulted in improved thermodynamic properties. Conversely, the SEC decreased with an increase in the infrared temperature and grain flow, whereas the thermal efficiency exhibited an inverse relationship. The influence of airflow on dried samples was negligible. Under specified constraints, the optimized drying parameters to yield a maximum expected factor were an infrared radiation air temperature of 51 °C, air flow of 377.690 m3/h, and grain flow rate of 8 kg/min. With this optimized combination of drying-process parameters, the minimum SCI reached approximately 35.4, and the minimum SEC was approximately 3734.9 kJ/kg, resulting in a maximum thermal efficiency of approximately 62.7 %. These results provide a foundation for the future development of graphene-based far-infrared grain-drying equipment. |
| format | Article |
| id | doaj-art-e8dba02638314d508fb09225d7cc1a72 |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-e8dba02638314d508fb09225d7cc1a722025-01-08T04:52:35ZengElsevierCase Studies in Thermal Engineering2214-157X2025-01-0165105588Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodologyJiyou An0Yuanjie Du1Jianchun Yan2Hai Wei3Huanxiong Xie4Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, ChinaNanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, ChinaInnovation Team of Primary Processing Equipment for Major Grain and Economic Crops of the Chinese Academy of Agricultural Sciences, Nanjing, 210014, China; Corresponding author.Jiangsu Province Grain Drying Equipment Industry Innovation Strategic Alliance, Nanjing, 210014, China; Corresponding author.Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, China; Corresponding author.Graphene exhibits exceptional electrothermal conversion efficiency, making it a promising candidate as a novel heat source for far-infrared drying. This study examined the impacts of infrared radiation temperature (45–55 °C), air flow (300–460 m3/h), and grain flow rate (6–8 kg/min) on the stress cracking index (SCI), specific energy consumption (SEC), and thermal efficiency. The Box–Behnken response surface methodology and expectation function method were employed to model and optimize the quality of far-infrared drying of paddy graphene. The findings indicate that both the drying rate and SCI of paddy increased with an increase in the infrared temperature and grain-flow rate; higher values of these parameters resulted in improved thermodynamic properties. Conversely, the SEC decreased with an increase in the infrared temperature and grain flow, whereas the thermal efficiency exhibited an inverse relationship. The influence of airflow on dried samples was negligible. Under specified constraints, the optimized drying parameters to yield a maximum expected factor were an infrared radiation air temperature of 51 °C, air flow of 377.690 m3/h, and grain flow rate of 8 kg/min. With this optimized combination of drying-process parameters, the minimum SCI reached approximately 35.4, and the minimum SEC was approximately 3734.9 kJ/kg, resulting in a maximum thermal efficiency of approximately 62.7 %. These results provide a foundation for the future development of graphene-based far-infrared grain-drying equipment.http://www.sciencedirect.com/science/article/pii/S2214157X24016198GrapheneFar-infrared dryingResponse surface methodologyEnergy consumptionThermal efficiencyPaddy |
| spellingShingle | Jiyou An Yuanjie Du Jianchun Yan Hai Wei Huanxiong Xie Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology Case Studies in Thermal Engineering Graphene Far-infrared drying Response surface methodology Energy consumption Thermal efficiency Paddy |
| title | Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology |
| title_full | Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology |
| title_fullStr | Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology |
| title_full_unstemmed | Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology |
| title_short | Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology |
| title_sort | multi objective optimization of graphene far infrared paddy drying process based on response surface methodology |
| topic | Graphene Far-infrared drying Response surface methodology Energy consumption Thermal efficiency Paddy |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X24016198 |
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