The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips,as it is characterised by excellent heat transfer ability and flexibility for miniaturi...The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips,as it is characterised by excellent heat transfer ability and flexibility for miniaturisation.To boost the application of PHP,reliable heat transfer performance evaluationmodels are especially important.In this paper,a heat transfer correlation was firstly proposed for closed PHP with various working fluids(water,ethanol,methanol,R123,acetone)based on collected experimental data.Dimensional analysis was used to group the parameters.It was shown that the average absolute deviation(AAD)and correlation coefficient(r)of the correlation were 40.67%and 0.7556,respectively.For 95%of the data,the prediction of thermal resistance and the temperature difference between evaporation and condensation section fell within 1.13K/Wand 40.76K,respectively.Meanwhile,an artificial neural networkmodelwas also proposed.The ANN model showed a better prediction accuracy with a mean square error(MSE)and correlation coefficient(r)of 7.88e-7 and 0.9821,respectively.展开更多
The nanofluid has been widely used in many heat transfer areas due to its significant enhancement effect on the thermal conductivity.Therefore,the methods that can accurately predict their thermal conductivities are v...The nanofluid has been widely used in many heat transfer areas due to its significant enhancement effect on the thermal conductivity.Therefore,the methods that can accurately predict their thermal conductivities are very important to evaluate and analyze the heat transfer process.In this paper,a novel artificial neural network(ANN)model was proposed to predict the thermal conductivity of nanofluids with ethylene glycol and could be used in a wide range with excellent accuracy.A total of 391 experimental data with a wide range of temperatures(4℃ to 90℃),nanoparticles(metal,metal oxide,etc.),volume concentrations(0.05%to 10%),and particle sizes(2 nm to 282 nm)were collected.To build the ANN model,the temperature,thermal conductivities of the base fluid and nanoparticles,the size and volume concentration of the nanoparticles were selected and used as the input parameters.There were 5 nodes,10 nodes and 1 node in input layer,hidden layer and output layer,respectively.The predicted results of the ANN model coincided with the experimental data very well with the correlation coefficient and mean square error(MSE)were 0.9863 and 3.01×10–5,respectively.The relative deviations of 99.74%data were within±5%.The model was expected to be a good practical method to predict the thermal conductivity of nanofluids with ethylene glycol.展开更多
In this paper,the entrainment ratio,pump work,heat loads of heat exchangers and COPthermal were theoretically evaluated for a solar-driven ejector-vapor compression hybrid refrigeration system with R1233zd(E)and R1336...In this paper,the entrainment ratio,pump work,heat loads of heat exchangers and COPthermal were theoretically evaluated for a solar-driven ejector-vapor compression hybrid refrigeration system with R1233zd(E)and R1336mzz(Z)as the working fluids.The evaluation of the utilization potentials of R1233zd(E)and R1336mzz(Z)was presented by comparing the system performance with that of R245fa,a commonly used refrigerant in the ejector system.The results indicated that the systems with R1233zd(E)and R1336mzz(Z)had a higher entrainment ratio and lower pump work.The pump works when using R1233zd(E)and R1336mzz(Z)can be up to 14.59%and 38.05%lower than those of R245fa,respectively.Meanwhile,the system showed the highest COPthermal utilizing R1233zd(E)followed by that of R245fa,with the R1336mzz(Z)system having the lowest value.The differences between R1233zd(E)and R1336mzz(Z)systems,R1233zd(E)and R245fa systems were 4.33%and 2.0%,respectively.This paper was expected to provide a good reference for the utilizing prospect of R1233zd(E)and R1336mzz(Z)in ejector refrigeration systems.展开更多
Cavitation has a significant influence on the accurate control of the liquid filling rate and braking performance of a hydraulic retarder;however,previous studies of the flow field in hydraulic retarders have provided...Cavitation has a significant influence on the accurate control of the liquid filling rate and braking performance of a hydraulic retarder;however,previous studies of the flow field in hydraulic retarders have provided insufficient information in terms of considering cavitation.Here,the volume of fluid(VOF)method and a scale-resolving simulation(SRS)were employed to numerically and more comprehensively calculate and analyze the flow field in a retarder considering the cavitation phenomenon.The numerical models included the improved delayed detached eddy simulation(IDDES)model,stress-blended eddy simulation(SBES)model,dynamic large eddy simulation(DLES)model,and shear stress transport(SST)model in the Reynolds-averaged Navier-Stokes(RANS)model.All the calculations were typically validated by the brake torque in the impeller rather than the internal flow.The unsteady flow field indicated that the SBES and DLES models could better capture unsteady flow phenomena,such as the chord vortex.The SBES and DLES models could also better capture bubbles than the SST and IDDES models.Since the braking torque error of the SBES model was the smallest,the transient variation of the bubble volume fraction over time on a typical flow surface was analyzed in detail with the SBES model.It was found that bubbles mainly appeared in the center area of the blade suction surface,which coincided with the experiments.The accumulation of bubbles resulted in a larger bubble volume fraction in the center of the blade over time.In addition,the temperature variations of the pressure blade caused by heat transfer were further analyzed.More bubbles precipitated in the center of the blade,leading to a lower temperature in this area.展开更多
Multifunctional phase change composites are in great demand for all kinds of industrial technologies and applications,which have both superior latent heat capacity and excellent solar-thermal conversion capability.In ...Multifunctional phase change composites are in great demand for all kinds of industrial technologies and applications,which have both superior latent heat capacity and excellent solar-thermal conversion capability.In this research,biomimetic phase change composites are made by inspired by natural systems,successfully getting the high thermal conductivity of carbon foam and magnetism of composites together,to establish a novel solar-thermal energy storage method.The morphology and the thermal characteristics of biomimetic phase change composites have been characterized.The results showed that the maximum storage efficiency of the biomimetic phase change materials increased by 56.3%compared to that of the based materials,and it can further be improved by the application of magnetic field.Meanwhile the heat transfer process of solarthermal conversion and energy storage in biomimetic porous structure under the external physical fields has been explained by simulation.Thus,the magnetic field-induced method applied in this research has better solar-thermal energy storage characteristics within a porous structure by dynamically controlling the magnetism,which has potential uses for various sustainable applications,including waste-heat recovery,energy conservation in building,and solar-thermal energy storage.展开更多
The thermal management of battery systems is critical for maintaining the energy storage capacity,life span,and thermal safety of batteries used in electric vehicles,because the operating temperature is a key factor a...The thermal management of battery systems is critical for maintaining the energy storage capacity,life span,and thermal safety of batteries used in electric vehicles,because the operating temperature is a key factor affecting battery performance.Excessive temperature rises and large temperature differences accelerate the degradation rate of such batteries.Currently,the increasing demand for fast charging and special on-vehicle scenarios has increased the heat dissipation requirements of battery thermal management systems.To address this demand,this work proposes a novel micro heat pipe array(MHPA)for thermal management under a broadened research scope,including high heat generation rates,large tilt angles,mild vibration,and distributed heat generation conditions.The experimental results indicate that the temperature difference is maintained 3.44°C at a large heat generation of 50 W for a limited range of tilt angles.Furthermore,a mild vehicle vibra-tion condition was found to improve temperature uniformity by 3.3°C at a heat generation of 10 W.However,the use of distributed heat sources results in a temperature variation of 3.88°C,suggesting that the heat generation distribution needs to be considered in thermal analyses.Understanding the effects of these special battery-operating conditions on the MHPA could significantly contribute to the enhancement of heat transfer capability and temperature uniformity improvement of battery thermal management systems based on heat pipe technologies.This would facilitate the realization of meeting the higher requirements of future battery systems.展开更多
The application of the excess entropy scaling(EES)method to predict the viscosity,thermal conductivity and thermal diffusivity of HFC/HFO refrigerants is evaluated in this paper.The universal coefficients of the EES m...The application of the excess entropy scaling(EES)method to predict the viscosity,thermal conductivity and thermal diffusivity of HFC/HFO refrigerants is evaluated in this paper.The universal coefficients of the EES model were firstly obtained from the properties of HFC refrigerants,and the accuracy of the model was further investigated with HFO properties.It was suggested that the EES model correlated the viscosity very well with the average absolute deviations(AADs)of most HFC refrigerants lower than 6.55%except R32.The correlations also provided very good prediction on the viscosity for R1234yf and R1234ze(E),but not for R1336mzz(Z).The prediction of thermal conductivity for both HFC and HFO refrigerants was generally well with the maximum AAD of 11.44%.However,the paper also indicated that there were no universal thermal diffusivity coefficients for even HFC refrigerants,and the linear function could not fit the thermal diffusivity curve very well.Therefore,the exclusively two-order polynomial correlations based on the EES model were presented for each HFC/HFO refrigerant.展开更多
Ejector refrigeration cycle(ERC)with advantages of simple structure and low cost holds great application potential in cascade/hybrid cycles to improve the overall system performance by removing or recovering the heat ...Ejector refrigeration cycle(ERC)with advantages of simple structure and low cost holds great application potential in cascade/hybrid cycles to improve the overall system performance by removing or recovering the heat from the main cycle.In this paper,a theoretical and experimental investigation of the ERC as a part of a cascade system was carried out.The operating parameters were optimized.The experimental ERC test rig was designed,developed and investigated at high evaporating temperatures and wide ranges of operating conditions.The influence of operating conditions on the efficiency of the ejector and ERC was analyzed.Experimental results and analysis in this study can be helpful for the application and operating condition optimization of ERC in cascade/hybrid refrigeration systems.展开更多
With progressively stringent fuel consumption regulations,many researchers and engineers are focusing on the employment of waste heat recovery technologies for automotive applications.Regarded as a promising method of...With progressively stringent fuel consumption regulations,many researchers and engineers are focusing on the employment of waste heat recovery technologies for automotive applications.Regarded as a promising method of waste heat recovery,the thermoelectric generator(TEG)has been given increasing attention over the whole automotive industry for the last decade.In this study,we first give a brief review of improvements in thermoelectric materials and heat exchangers for TEG systems.We then present a novel design for a concentric cylindrical TEG system that addresses the existing weaknesses of the heat exchanger.In place of the typical square-shaped thermoelectric module,our proposed concentric cylindrical TEG system uses an annular thermoelectric module and employs the advantages of the heat pipe to enhance the heat transfer in the radial direction.The simulations we carried out to verify the performance of the proposed system showed better power output among the existing TEG system,and a comparison of water-inside and gas-inside arrangements showed that the water-inside concentric cylindrical TEG system produced a higher power output.展开更多
基金This work is funded by National Natural Science Foundation of China(No.51906216).
文摘The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips,as it is characterised by excellent heat transfer ability and flexibility for miniaturisation.To boost the application of PHP,reliable heat transfer performance evaluationmodels are especially important.In this paper,a heat transfer correlation was firstly proposed for closed PHP with various working fluids(water,ethanol,methanol,R123,acetone)based on collected experimental data.Dimensional analysis was used to group the parameters.It was shown that the average absolute deviation(AAD)and correlation coefficient(r)of the correlation were 40.67%and 0.7556,respectively.For 95%of the data,the prediction of thermal resistance and the temperature difference between evaporation and condensation section fell within 1.13K/Wand 40.76K,respectively.Meanwhile,an artificial neural networkmodelwas also proposed.The ANN model showed a better prediction accuracy with a mean square error(MSE)and correlation coefficient(r)of 7.88e-7 and 0.9821,respectively.
基金financially sponsored by the National Natural Science Foundation of China(No.51706060)Innovate UK Project(ACeDrive No.113167)。
文摘The nanofluid has been widely used in many heat transfer areas due to its significant enhancement effect on the thermal conductivity.Therefore,the methods that can accurately predict their thermal conductivities are very important to evaluate and analyze the heat transfer process.In this paper,a novel artificial neural network(ANN)model was proposed to predict the thermal conductivity of nanofluids with ethylene glycol and could be used in a wide range with excellent accuracy.A total of 391 experimental data with a wide range of temperatures(4℃ to 90℃),nanoparticles(metal,metal oxide,etc.),volume concentrations(0.05%to 10%),and particle sizes(2 nm to 282 nm)were collected.To build the ANN model,the temperature,thermal conductivities of the base fluid and nanoparticles,the size and volume concentration of the nanoparticles were selected and used as the input parameters.There were 5 nodes,10 nodes and 1 node in input layer,hidden layer and output layer,respectively.The predicted results of the ANN model coincided with the experimental data very well with the correlation coefficient and mean square error(MSE)were 0.9863 and 3.01×10–5,respectively.The relative deviations of 99.74%data were within±5%.The model was expected to be a good practical method to predict the thermal conductivity of nanofluids with ethylene glycol.
基金This work was financially sponsored by National Natural Science Foundation of China(No.51906216)Zhejiang Provincial Natural Science Foundation of China(No.LQ18E060001)European Union project H2020-MSCA-RISE 778104.
文摘In this paper,the entrainment ratio,pump work,heat loads of heat exchangers and COPthermal were theoretically evaluated for a solar-driven ejector-vapor compression hybrid refrigeration system with R1233zd(E)and R1336mzz(Z)as the working fluids.The evaluation of the utilization potentials of R1233zd(E)and R1336mzz(Z)was presented by comparing the system performance with that of R245fa,a commonly used refrigerant in the ejector system.The results indicated that the systems with R1233zd(E)and R1336mzz(Z)had a higher entrainment ratio and lower pump work.The pump works when using R1233zd(E)and R1336mzz(Z)can be up to 14.59%and 38.05%lower than those of R245fa,respectively.Meanwhile,the system showed the highest COPthermal utilizing R1233zd(E)followed by that of R245fa,with the R1336mzz(Z)system having the lowest value.The differences between R1233zd(E)and R1336mzz(Z)systems,R1233zd(E)and R245fa systems were 4.33%and 2.0%,respectively.This paper was expected to provide a good reference for the utilizing prospect of R1233zd(E)and R1336mzz(Z)in ejector refrigeration systems.
基金Project supported by the Key Scientific and Technological Project of Jilin Province(No.20170204066GX)the Natural Science Foundation of Jilin Province(No.20200201222JC)+2 种基金the Science and Technology Project of Jilin Provincial Education Department(No.JJKH20170785KJ)the Project of Jilin Provincial Science&Technology Department(No.20200301011RQ)the Advanced Manufacturing Projects of Government and University Co-construction Program funded by Jilin Province(No.SXGJSF2017-2),China。
文摘Cavitation has a significant influence on the accurate control of the liquid filling rate and braking performance of a hydraulic retarder;however,previous studies of the flow field in hydraulic retarders have provided insufficient information in terms of considering cavitation.Here,the volume of fluid(VOF)method and a scale-resolving simulation(SRS)were employed to numerically and more comprehensively calculate and analyze the flow field in a retarder considering the cavitation phenomenon.The numerical models included the improved delayed detached eddy simulation(IDDES)model,stress-blended eddy simulation(SBES)model,dynamic large eddy simulation(DLES)model,and shear stress transport(SST)model in the Reynolds-averaged Navier-Stokes(RANS)model.All the calculations were typically validated by the brake torque in the impeller rather than the internal flow.The unsteady flow field indicated that the SBES and DLES models could better capture unsteady flow phenomena,such as the chord vortex.The SBES and DLES models could also better capture bubbles than the SST and IDDES models.Since the braking torque error of the SBES model was the smallest,the transient variation of the bubble volume fraction over time on a typical flow surface was analyzed in detail with the SBES model.It was found that bubbles mainly appeared in the center area of the blade suction surface,which coincided with the experiments.The accumulation of bubbles resulted in a larger bubble volume fraction in the center of the blade over time.In addition,the temperature variations of the pressure blade caused by heat transfer were further analyzed.More bubbles precipitated in the center of the blade,leading to a lower temperature in this area.
基金financially supported by the China National Key Research and Developmeni Plan Project(Grant No.2018YFA0702300)H2020-MSCA-RISE(778104)Smart thermal nlanagement of high power microprocessors using phase-change(ThermaSMART).
文摘Multifunctional phase change composites are in great demand for all kinds of industrial technologies and applications,which have both superior latent heat capacity and excellent solar-thermal conversion capability.In this research,biomimetic phase change composites are made by inspired by natural systems,successfully getting the high thermal conductivity of carbon foam and magnetism of composites together,to establish a novel solar-thermal energy storage method.The morphology and the thermal characteristics of biomimetic phase change composites have been characterized.The results showed that the maximum storage efficiency of the biomimetic phase change materials increased by 56.3%compared to that of the based materials,and it can further be improved by the application of magnetic field.Meanwhile the heat transfer process of solarthermal conversion and energy storage in biomimetic porous structure under the external physical fields has been explained by simulation.Thus,the magnetic field-induced method applied in this research has better solar-thermal energy storage characteristics within a porous structure by dynamically controlling the magnetism,which has potential uses for various sustainable applications,including waste-heat recovery,energy conservation in building,and solar-thermal energy storage.
基金This work was supported by the National Natural Science Foundation of China(No.U1864212)by the State Key Laboratory of Automotive Safety and Energy(No.ZZ2019-051).
文摘The thermal management of battery systems is critical for maintaining the energy storage capacity,life span,and thermal safety of batteries used in electric vehicles,because the operating temperature is a key factor affecting battery performance.Excessive temperature rises and large temperature differences accelerate the degradation rate of such batteries.Currently,the increasing demand for fast charging and special on-vehicle scenarios has increased the heat dissipation requirements of battery thermal management systems.To address this demand,this work proposes a novel micro heat pipe array(MHPA)for thermal management under a broadened research scope,including high heat generation rates,large tilt angles,mild vibration,and distributed heat generation conditions.The experimental results indicate that the temperature difference is maintained 3.44°C at a large heat generation of 50 W for a limited range of tilt angles.Furthermore,a mild vehicle vibra-tion condition was found to improve temperature uniformity by 3.3°C at a heat generation of 10 W.However,the use of distributed heat sources results in a temperature variation of 3.88°C,suggesting that the heat generation distribution needs to be considered in thermal analyses.Understanding the effects of these special battery-operating conditions on the MHPA could significantly contribute to the enhancement of heat transfer capability and temperature uniformity improvement of battery thermal management systems based on heat pipe technologies.This would facilitate the realization of meeting the higher requirements of future battery systems.
基金sponsored by the following research grants:National Science Foundation of China(No 51906216)。
文摘The application of the excess entropy scaling(EES)method to predict the viscosity,thermal conductivity and thermal diffusivity of HFC/HFO refrigerants is evaluated in this paper.The universal coefficients of the EES model were firstly obtained from the properties of HFC refrigerants,and the accuracy of the model was further investigated with HFO properties.It was suggested that the EES model correlated the viscosity very well with the average absolute deviations(AADs)of most HFC refrigerants lower than 6.55%except R32.The correlations also provided very good prediction on the viscosity for R1234yf and R1234ze(E),but not for R1336mzz(Z).The prediction of thermal conductivity for both HFC and HFO refrigerants was generally well with the maximum AAD of 11.44%.However,the paper also indicated that there were no universal thermal diffusivity coefficients for even HFC refrigerants,and the linear function could not fit the thermal diffusivity curve very well.Therefore,the exclusively two-order polynomial correlations based on the EES model were presented for each HFC/HFO refrigerant.
基金financially supported by National Natural Science Foundation of China(NSFC)(Contract No.51906216,No.51706167)Zhejiang Province Natural Science Foundation of China(Contract No.LY16E060004)。
文摘Ejector refrigeration cycle(ERC)with advantages of simple structure and low cost holds great application potential in cascade/hybrid cycles to improve the overall system performance by removing or recovering the heat from the main cycle.In this paper,a theoretical and experimental investigation of the ERC as a part of a cascade system was carried out.The operating parameters were optimized.The experimental ERC test rig was designed,developed and investigated at high evaporating temperatures and wide ranges of operating conditions.The influence of operating conditions on the efficiency of the ejector and ERC was analyzed.Experimental results and analysis in this study can be helpful for the application and operating condition optimization of ERC in cascade/hybrid refrigeration systems.
基金This study was supported by the China FAW Group Corporation R&D Centrethe Ningbo Science and Technology Bureau’s Technology Innovation Team Project under Grant No.2016B10010.
文摘With progressively stringent fuel consumption regulations,many researchers and engineers are focusing on the employment of waste heat recovery technologies for automotive applications.Regarded as a promising method of waste heat recovery,the thermoelectric generator(TEG)has been given increasing attention over the whole automotive industry for the last decade.In this study,we first give a brief review of improvements in thermoelectric materials and heat exchangers for TEG systems.We then present a novel design for a concentric cylindrical TEG system that addresses the existing weaknesses of the heat exchanger.In place of the typical square-shaped thermoelectric module,our proposed concentric cylindrical TEG system uses an annular thermoelectric module and employs the advantages of the heat pipe to enhance the heat transfer in the radial direction.The simulations we carried out to verify the performance of the proposed system showed better power output among the existing TEG system,and a comparison of water-inside and gas-inside arrangements showed that the water-inside concentric cylindrical TEG system produced a higher power output.
