Chilling of the agitated milk using nano-enhanced phase change materials
Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and...
Ausführliche Beschreibung
Autor*in: |
Prakash, Ravi [verfasserIn] Ravindra, Menon Rekha [verfasserIn] Battula, Surendra Nath [verfasserIn] Sivaram, Muniandy [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of food engineering - Amsterdam [u.a.] : Elsevier Science, 1982, 366 |
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Übergeordnetes Werk: |
volume:366 |
DOI / URN: |
10.1016/j.jfoodeng.2023.111852 |
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Katalog-ID: |
ELV066208459 |
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520 | |a Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. | ||
650 | 4 | |a Milk | |
650 | 4 | |a Agitation | |
650 | 4 | |a Phase change materials | |
650 | 4 | |a Computational fluid dynamics (CFD) | |
650 | 4 | |a Nanoparticles | |
650 | 4 | |a Multiple reference frame (MRF) | |
700 | 1 | |a Ravindra, Menon Rekha |e verfasserin |4 aut | |
700 | 1 | |a Battula, Surendra Nath |e verfasserin |4 aut | |
700 | 1 | |a Sivaram, Muniandy |e verfasserin |4 aut | |
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2023 |
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10.1016/j.jfoodeng.2023.111852 doi (DE-627)ELV066208459 (ELSEVIER)S0260-8774(23)00450-8 DE-627 ger DE-627 rda eng 630 640 VZ 58.34 bkl Prakash, Ravi verfasserin aut Chilling of the agitated milk using nano-enhanced phase change materials 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. Milk Agitation Phase change materials Computational fluid dynamics (CFD) Nanoparticles Multiple reference frame (MRF) Ravindra, Menon Rekha verfasserin aut Battula, Surendra Nath verfasserin aut Sivaram, Muniandy verfasserin aut Enthalten in Journal of food engineering Amsterdam [u.a.] : Elsevier Science, 1982 366 Online-Ressource (DE-627)32059873X (DE-600)2019904-1 (DE-576)096806702 0260-8774 nnns volume:366 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ AR 366 |
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10.1016/j.jfoodeng.2023.111852 doi (DE-627)ELV066208459 (ELSEVIER)S0260-8774(23)00450-8 DE-627 ger DE-627 rda eng 630 640 VZ 58.34 bkl Prakash, Ravi verfasserin aut Chilling of the agitated milk using nano-enhanced phase change materials 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. Milk Agitation Phase change materials Computational fluid dynamics (CFD) Nanoparticles Multiple reference frame (MRF) Ravindra, Menon Rekha verfasserin aut Battula, Surendra Nath verfasserin aut Sivaram, Muniandy verfasserin aut Enthalten in Journal of food engineering Amsterdam [u.a.] : Elsevier Science, 1982 366 Online-Ressource (DE-627)32059873X (DE-600)2019904-1 (DE-576)096806702 0260-8774 nnns volume:366 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ AR 366 |
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10.1016/j.jfoodeng.2023.111852 doi (DE-627)ELV066208459 (ELSEVIER)S0260-8774(23)00450-8 DE-627 ger DE-627 rda eng 630 640 VZ 58.34 bkl Prakash, Ravi verfasserin aut Chilling of the agitated milk using nano-enhanced phase change materials 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. Milk Agitation Phase change materials Computational fluid dynamics (CFD) Nanoparticles Multiple reference frame (MRF) Ravindra, Menon Rekha verfasserin aut Battula, Surendra Nath verfasserin aut Sivaram, Muniandy verfasserin aut Enthalten in Journal of food engineering Amsterdam [u.a.] : Elsevier Science, 1982 366 Online-Ressource (DE-627)32059873X (DE-600)2019904-1 (DE-576)096806702 0260-8774 nnns volume:366 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ AR 366 |
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10.1016/j.jfoodeng.2023.111852 doi (DE-627)ELV066208459 (ELSEVIER)S0260-8774(23)00450-8 DE-627 ger DE-627 rda eng 630 640 VZ 58.34 bkl Prakash, Ravi verfasserin aut Chilling of the agitated milk using nano-enhanced phase change materials 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. Milk Agitation Phase change materials Computational fluid dynamics (CFD) Nanoparticles Multiple reference frame (MRF) Ravindra, Menon Rekha verfasserin aut Battula, Surendra Nath verfasserin aut Sivaram, Muniandy verfasserin aut Enthalten in Journal of food engineering Amsterdam [u.a.] : Elsevier Science, 1982 366 Online-Ressource (DE-627)32059873X (DE-600)2019904-1 (DE-576)096806702 0260-8774 nnns volume:366 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ AR 366 |
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10.1016/j.jfoodeng.2023.111852 doi (DE-627)ELV066208459 (ELSEVIER)S0260-8774(23)00450-8 DE-627 ger DE-627 rda eng 630 640 VZ 58.34 bkl Prakash, Ravi verfasserin aut Chilling of the agitated milk using nano-enhanced phase change materials 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. Milk Agitation Phase change materials Computational fluid dynamics (CFD) Nanoparticles Multiple reference frame (MRF) Ravindra, Menon Rekha verfasserin aut Battula, Surendra Nath verfasserin aut Sivaram, Muniandy verfasserin aut Enthalten in Journal of food engineering Amsterdam [u.a.] : Elsevier Science, 1982 366 Online-Ressource (DE-627)32059873X (DE-600)2019904-1 (DE-576)096806702 0260-8774 nnns volume:366 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 Lebensmitteltechnologie VZ AR 366 |
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Prakash, Ravi @@aut@@ Ravindra, Menon Rekha @@aut@@ Battula, Surendra Nath @@aut@@ Sivaram, Muniandy @@aut@@ |
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Prakash, Ravi |
spellingShingle |
Prakash, Ravi ddc 630 bkl 58.34 misc Milk misc Agitation misc Phase change materials misc Computational fluid dynamics (CFD) misc Nanoparticles misc Multiple reference frame (MRF) Chilling of the agitated milk using nano-enhanced phase change materials |
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630 640 VZ 58.34 bkl Chilling of the agitated milk using nano-enhanced phase change materials Milk Agitation Phase change materials Computational fluid dynamics (CFD) Nanoparticles Multiple reference frame (MRF) |
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Chilling of the agitated milk using nano-enhanced phase change materials |
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chilling of the agitated milk using nano-enhanced phase change materials |
title_auth |
Chilling of the agitated milk using nano-enhanced phase change materials |
abstract |
Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. |
abstractGer |
Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. |
abstract_unstemmed |
Maintaining cold-chain in the rural and distant locations, particularly in small to marginal dairying in the developing nations, is still challenging. Milk chilling with agitation by phase change materials bridges the breach in the cooling due to power outage as well as augments the cooling rate and ceases the phase-separation of milk constituents. In the present study, an attempt was made to numerically simulate and validate the chilling of the agitated milk using nano-enhanced phase change materials (NePCM). The test rig for the investigation comprised an insulated jacketed cylindrical module, confining NePCMs in the jackets and the milk inside the innermost cylinder, coupled with a slow speed (≤100 rpm) agitator immersed into the milk. The computational fluid dynamics (CFD) tools of ANSYS-Fluent viz., enthalpy-porosity and volume of fluid models were employed for simulating the energy discharge from the NePCMs during milk chilling. The impeller motion during milk agitation was simulated by the multiple reference frame and Transition Shear-Stress-Transport models. The experimental results validating the CFD models showed the enhancements in energy discharging rates and milk chilling performance up to 54.23 and 30.67%, respectively. The rate of energy discharge and milk chilling were influenced by concentration of nanoparticles, speed of agitation, location of the NePCMs, local convections (at a rpm ≤30) and overall thermal distance between the heat source (milk) to the heat sink (NePCM). Such effects were clearly visualized and discussed in the numerical flow visualization of the computational domain. The investigation showcased an energy efficient milk chilling module which could be decoded into a chiller cum storage dairy vessel to be used by small to commercial scale enterprises. |
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Chilling of the agitated milk using nano-enhanced phase change materials |
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|
score |
7.4011383 |