A novel and efficient approach is proposed for quantifying uncertainties in aerothermal performance using a combination of Universal Kriging, Polynomial Chaos Expansions, and Smolyak sparse grid technology. This method was applied to investigate the aerothermal performance of a high-pressure gas turbine rotor blade tip with high dimensional robustness. The outcomes of the uncertainty quantification calculation reveal that the downstream total pressure loss coefficient and leakage flow rate increase under normal-speed (subsonic) and high-speed (transonic) conditions. The key uncertainty input that affects the aerodynamic performance of normal-speed and high-speed squealer tip is inlet total pressure fluctuation, with a variance index on the leakage flow rate of normal-speed and high-speed squealer tip of up to 73.92% and 83.85%, respectively. The study suggests that it is more important to control the operating conditions fluctuation than the cavity depth machining accuracy for aerodynamic performance robustness, which applies to both normal-speed and high-speed squealer tips. In line with the aerodynamic performance, the heat flux of normal-speed and high-speed squealer tip increases during operation. Notably, the sensitivity of high-speed squealer tip aerodynamic performance to operating condition fluctuations increases compared to the normal-speed squealer tip, necessitating active intervention for fluctuations in operating conditions at a higher cost for the high-speed squealer tip. The sensitivity analysis results indicate that the inlet total temperature fluctuation is the key parameter that controls the normal-speed and high-speed squealer tip heat flux uncertainty.
{"title":"Comprehensive Aerothermal Investigation of Turbine Blade Multi-Cavity Squealer Tip using a Novel Methodology with Uncertainty Quantification","authors":"Ming Huang, Kai Zhang, Zhigang Li, Jun Li","doi":"10.1115/1.4062836","DOIUrl":"https://doi.org/10.1115/1.4062836","url":null,"abstract":"A novel and efficient approach is proposed for quantifying uncertainties in aerothermal performance using a combination of Universal Kriging, Polynomial Chaos Expansions, and Smolyak sparse grid technology. This method was applied to investigate the aerothermal performance of a high-pressure gas turbine rotor blade tip with high dimensional robustness. The outcomes of the uncertainty quantification calculation reveal that the downstream total pressure loss coefficient and leakage flow rate increase under normal-speed (subsonic) and high-speed (transonic) conditions. The key uncertainty input that affects the aerodynamic performance of normal-speed and high-speed squealer tip is inlet total pressure fluctuation, with a variance index on the leakage flow rate of normal-speed and high-speed squealer tip of up to 73.92% and 83.85%, respectively. The study suggests that it is more important to control the operating conditions fluctuation than the cavity depth machining accuracy for aerodynamic performance robustness, which applies to both normal-speed and high-speed squealer tips. In line with the aerodynamic performance, the heat flux of normal-speed and high-speed squealer tip increases during operation. Notably, the sensitivity of high-speed squealer tip aerodynamic performance to operating condition fluctuations increases compared to the normal-speed squealer tip, necessitating active intervention for fluctuations in operating conditions at a higher cost for the high-speed squealer tip. The sensitivity analysis results indicate that the inlet total temperature fluctuation is the key parameter that controls the normal-speed and high-speed squealer tip heat flux uncertainty.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"64 1 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74362626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The objective of this study is to propose an analytical solution that can predict temperatures of dumbbell-shaped rubber specimens under cyclic deformation. To achieve this, first, a new mathematical equation was developed based on a modified Mooney-Rivlin (MR) strain energy function, the pseudo-elasticity theory, and the inverse analysis method. This equation was used to determine the internal heat generation rates of rubber compounds. With heat generation rates, the governing equation of heat conduction and the mathematical expression of boundary conditions were further generated to describe the heat transfer in rubber compounds. Based on these equations, a novel analytical solution was developed—the RTDS solution (a solution to predict Rubber Temperatures in Dumbbell-shaped Specimens). This RTDS solution was used to predict rubber temperatures in dumbbell-shaped specimens under cyclic deformation. The results showed that the RTDS solution took 11.9 seconds to derive the rubber temperature results with an average mean absolute percent error (MAPE) of 9.2% compared with lab recordings. The RTDS solution identified a logarithmic increase in rubber temperatures at rising strain levels, and it also identified an increase in rubber temperatures with the rising strain rates. Moreover, the RTDS solution characterized an inverse proportional relationship between the rubber temperature increments and the ambient temperatures.
{"title":"An analytical solution to predict temperatures of dumbbell-shaped rubber specimens under cyclic deformation","authors":"Shaosen Ma, Yunting Guo, W. Liu","doi":"10.1115/1.4062835","DOIUrl":"https://doi.org/10.1115/1.4062835","url":null,"abstract":"\u0000 The objective of this study is to propose an analytical solution that can predict temperatures of dumbbell-shaped rubber specimens under cyclic deformation. To achieve this, first, a new mathematical equation was developed based on a modified Mooney-Rivlin (MR) strain energy function, the pseudo-elasticity theory, and the inverse analysis method. This equation was used to determine the internal heat generation rates of rubber compounds. With heat generation rates, the governing equation of heat conduction and the mathematical expression of boundary conditions were further generated to describe the heat transfer in rubber compounds. Based on these equations, a novel analytical solution was developed—the RTDS solution (a solution to predict Rubber Temperatures in Dumbbell-shaped Specimens). This RTDS solution was used to predict rubber temperatures in dumbbell-shaped specimens under cyclic deformation. The results showed that the RTDS solution took 11.9 seconds to derive the rubber temperature results with an average mean absolute percent error (MAPE) of 9.2% compared with lab recordings. The RTDS solution identified a logarithmic increase in rubber temperatures at rising strain levels, and it also identified an increase in rubber temperatures with the rising strain rates. Moreover, the RTDS solution characterized an inverse proportional relationship between the rubber temperature increments and the ambient temperatures.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"176 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77474859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the present paper, an entropy generation analysis on a 2-D steady state problem in convective regime of an aluminum foam partially and totally filled channel with an external TEG element is solved in numerical way. The numerical analyses are accomplished with the assumption of the local thermal equilibrium (LTE) hypothesis in order to model the metal foam and heat transfer inside the channel. The working fluid is exhaust gas characterized by the same properties of the air in correspondence to the TEG upper surface temperature. The TEG is considered as a solid component characterized by an internal energy generation. The thermophysical properties are assumed temperature independent. Ansys-Fluent code is employed in order to resolve the governing equations for exhaust gas, metal foam and TEG. Different exhaust gas mass flow rates on the inlet section are assumed. Several thicknesses of aluminum foam values are employed. The porous media are characterized by a porosity from 0.90 to 0.978 and number of pores per inch (PPI) equal to 5, 10, 20, 40. Results are given in terms of global entropy generations related to the thermal and viscous effects. The total global entropy generation increases with increasing of exhaust gas flow rate for all pore density and porosity values. Bejan number decreases with the increment of mass flow rate and thickness. It increases when the porosity value increases whereas at high mass flow rate and for assigned porosity the values present small difference for different pore density values.
{"title":"Entropy Generation Analysis on a Metal Foam in an Automotive Exhaust Line with Thermoelectric Generator","authors":"B. Buonomo, A. di Pasqua, O. Manca, S. Nappo","doi":"10.1115/1.4062834","DOIUrl":"https://doi.org/10.1115/1.4062834","url":null,"abstract":"\u0000 In the present paper, an entropy generation analysis on a 2-D steady state problem in convective regime of an aluminum foam partially and totally filled channel with an external TEG element is solved in numerical way. The numerical analyses are accomplished with the assumption of the local thermal equilibrium (LTE) hypothesis in order to model the metal foam and heat transfer inside the channel. The working fluid is exhaust gas characterized by the same properties of the air in correspondence to the TEG upper surface temperature. The TEG is considered as a solid component characterized by an internal energy generation. The thermophysical properties are assumed temperature independent. Ansys-Fluent code is employed in order to resolve the governing equations for exhaust gas, metal foam and TEG. Different exhaust gas mass flow rates on the inlet section are assumed. Several thicknesses of aluminum foam values are employed. The porous media are characterized by a porosity from 0.90 to 0.978 and number of pores per inch (PPI) equal to 5, 10, 20, 40. Results are given in terms of global entropy generations related to the thermal and viscous effects. The total global entropy generation increases with increasing of exhaust gas flow rate for all pore density and porosity values. Bejan number decreases with the increment of mass flow rate and thickness. It increases when the porosity value increases whereas at high mass flow rate and for assigned porosity the values present small difference for different pore density values.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"161 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86412646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper reports the experimental heat transfer results of a novel PCM-based heat sink coupled with a heat pipe under different orientations. The experiments are conducted at a constant fill ratio of 99% on several heat sink configurations, such as a heat sink (i) with the stem at the center, (ii) with four fins, and (iii) with three longitudinal fins coupled with a heat pipe. The aluminium-made heat sink having an outer diameter of 58 mm and a height of 55 mm with a wall thickness of 4 mm, is used for all the heat sink configurations. The heat pipe with an evaporator length of 60 mm and a condenser length of 40 mm is attached at the center of a three-fin heat sink configuration. Experiments are performed on different heat sinks with n-eicosane as PCM at different orientations of 0, 45, 90, 135, and 180 degree; at various power levels. The heat input is varied between 6 and 12 W. The condenser section of the heat pipe is cooled under two different conditions, i.e., (i) natural and (ii) forced convection. The results show that the finned heat sink coupled with a heat pipe (FHSHP) gives the best charging and discharging performance compared to other configurations. Moreover, it is observed that the performance of an FHSHP is orientation-dependent. Further, the overall effectiveness of FHSHP is high when the condenser section of the heat pipe is cooled using forced convection rather than natural convection.
{"title":"EXPERIMENTAL INVESTIGATIONS ON EFFECT OF ORIENTATION ON THERMAL PERFORMANCE OF A NOVEL PCM-BASED HEAT SINK","authors":"Ravi Shankar Ch, Naresh Yarramsetty","doi":"10.1115/1.4062750","DOIUrl":"https://doi.org/10.1115/1.4062750","url":null,"abstract":"\u0000 This paper reports the experimental heat transfer results of a novel PCM-based heat sink coupled with a heat pipe under different orientations. The experiments are conducted at a constant fill ratio of 99% on several heat sink configurations, such as a heat sink (i) with the stem at the center, (ii) with four fins, and (iii) with three longitudinal fins coupled with a heat pipe. The aluminium-made heat sink having an outer diameter of 58 mm and a height of 55 mm with a wall thickness of 4 mm, is used for all the heat sink configurations. The heat pipe with an evaporator length of 60 mm and a condenser length of 40 mm is attached at the center of a three-fin heat sink configuration. Experiments are performed on different heat sinks with n-eicosane as PCM at different orientations of 0, 45, 90, 135, and 180 degree; at various power levels. The heat input is varied between 6 and 12 W. The condenser section of the heat pipe is cooled under two different conditions, i.e., (i) natural and (ii) forced convection. The results show that the finned heat sink coupled with a heat pipe (FHSHP) gives the best charging and discharging performance compared to other configurations. Moreover, it is observed that the performance of an FHSHP is orientation-dependent. Further, the overall effectiveness of FHSHP is high when the condenser section of the heat pipe is cooled using forced convection rather than natural convection.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"48 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83059365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Based on the validated simulation method of film cooling and multiphase flow simulation method, a multi-level three-dimensional simulation of forward-leaning fan-shaped film hole, cylindrical film hole with different injection angles, and film hole containing water vapor are established to discuss the effects of film hole structure parameters, hole distance, blowing ratio, injection angle, and water vapor volume on film cooling efficiency. The cooling efficiency of forward-leaning fan-shaped film hole increases as the exit length of film hole increases. After adding water vapor, the cooling efficiency of fan-shaped film hole decreases, and the influence of hole axis length and exit length on cooling efficiency is weak. For the cylindrical film hole, the larger the injection angle of film hole, the larger the film coverage area under the same blowing ratio. After adding water vapor, with the increase of the blowing ratio, the film coverage area increases first and then decreases. However, the film coverage area decreases with the increase of cooling injection angle for film holes containing water vapor. The cooling efficiency of the film hole with and without water vapor is related to the vapor velocity in the rising direction and the velocity in the mainstream direction, respectively. A model of film cooling efficiency with air blowing ratio and injection angle is established and verified with experimental data, based on the law that the average cooling efficiency in the main flow direction grows exponentially with the sine of the injection angle.
{"title":"A Cooling Efficiency Model and Numerical Research of Multiparameter Film Cooling","authors":"Zhexuan Xu, Zheyao Xu, Yukun Chen","doi":"10.1115/1.4062653","DOIUrl":"https://doi.org/10.1115/1.4062653","url":null,"abstract":"Abstract Based on the validated simulation method of film cooling and multiphase flow simulation method, a multi-level three-dimensional simulation of forward-leaning fan-shaped film hole, cylindrical film hole with different injection angles, and film hole containing water vapor are established to discuss the effects of film hole structure parameters, hole distance, blowing ratio, injection angle, and water vapor volume on film cooling efficiency. The cooling efficiency of forward-leaning fan-shaped film hole increases as the exit length of film hole increases. After adding water vapor, the cooling efficiency of fan-shaped film hole decreases, and the influence of hole axis length and exit length on cooling efficiency is weak. For the cylindrical film hole, the larger the injection angle of film hole, the larger the film coverage area under the same blowing ratio. After adding water vapor, with the increase of the blowing ratio, the film coverage area increases first and then decreases. However, the film coverage area decreases with the increase of cooling injection angle for film holes containing water vapor. The cooling efficiency of the film hole with and without water vapor is related to the vapor velocity in the rising direction and the velocity in the mainstream direction, respectively. A model of film cooling efficiency with air blowing ratio and injection angle is established and verified with experimental data, based on the law that the average cooling efficiency in the main flow direction grows exponentially with the sine of the injection angle.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134891949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Feiding Zhu, Jincheng Chen, Dengfeng Ren, Yuge Han
Surrogate models of temperature field calculation based on deep learning have gained popularity in recent years because it does not need to establish complex mathematical models. However, the existing models cannot generate the temperature field for different boundary conditions or thermal parameters. In addition, it is also challenging to generate the details of the complex temperature field. In this paper, we propose a Parameters-to-Temperature Generative Adversarial Networks (PTGAN) to generate temperature field images with high-quality details for different thermal parameters. The PTGAN model mainly includes temperature field generation module and thermal parameter encoding module. Additionally, we use a joint loss function to improve the quality of the generated temperature field image. The temperature field of the armored vehicle is calculated by the computational fluid dynamics (CFD) method to obtain data set to verify the proposed PTGAN. The results show that the temperature field generated by PTGAN has high accuracy, and the average relative error is only 0.205%. The attempt to integrate thermal parameters into the temperature field image generation is successful. The temperature field database can be generated quickly and accurately, which is of great significance for the further integration of deep learning and heat transfer.
{"title":"A Deep Learning-Based Surrogate Model for Complex Temperature Field Calculation with Various Thermal Parameters","authors":"Feiding Zhu, Jincheng Chen, Dengfeng Ren, Yuge Han","doi":"10.1115/1.4062680","DOIUrl":"https://doi.org/10.1115/1.4062680","url":null,"abstract":"\u0000 Surrogate models of temperature field calculation based on deep learning have gained popularity in recent years because it does not need to establish complex mathematical models. However, the existing models cannot generate the temperature field for different boundary conditions or thermal parameters. In addition, it is also challenging to generate the details of the complex temperature field. In this paper, we propose a Parameters-to-Temperature Generative Adversarial Networks (PTGAN) to generate temperature field images with high-quality details for different thermal parameters. The PTGAN model mainly includes temperature field generation module and thermal parameter encoding module. Additionally, we use a joint loss function to improve the quality of the generated temperature field image. The temperature field of the armored vehicle is calculated by the computational fluid dynamics (CFD) method to obtain data set to verify the proposed PTGAN. The results show that the temperature field generated by PTGAN has high accuracy, and the average relative error is only 0.205%. The attempt to integrate thermal parameters into the temperature field image generation is successful. The temperature field database can be generated quickly and accurately, which is of great significance for the further integration of deep learning and heat transfer.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"49 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82608566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A double barrel with differential velocity (DBDV) was proposed to improve the mixture quality. Temperature is one of the indexes to evaluate the mixture quality. At present, there are few studies on the heat transfer of DBDV. The heat transfer of particles in DBDV was studied by CFD-DEM to deeply understand the proposed DBDV. The heat transfer process in DBDV was analyzed. The distribution law of temperature field under the coupling effect of particles and fluid was obtained. The influence of fluid speed on particle temperature and the regeneration proportion in DBDV were analyzed and compared with the existing double barrel. And the main heat transfer mode of particles in DBDV was to be obtained. The results show that the mixture temperature in the proposed DBDV is generally higher than that in the existing DB. And the mixture produced by DBDV is not only friendly to the environment, but also the mixture temperature can meet the construction requirements even if more than half of the RAP materials are added to the mixture. Compared with DB, the addition proportion of DBDV is increased by 9.38% - 20.70%. And the reliability of the simulation work was verified by the indoor experiment platform, which lays a foundation for the application of DBDV.
{"title":"Mixed Heat Transfer in a Double Barrel with Differential Velocity based on CFD-DEM and Experiment","authors":"Lingying Zhao, M. Ye, Yuchuan Ma, Yiding Sun","doi":"10.1115/1.4062679","DOIUrl":"https://doi.org/10.1115/1.4062679","url":null,"abstract":"A double barrel with differential velocity (DBDV) was proposed to improve the mixture quality. Temperature is one of the indexes to evaluate the mixture quality. At present, there are few studies on the heat transfer of DBDV. The heat transfer of particles in DBDV was studied by CFD-DEM to deeply understand the proposed DBDV. The heat transfer process in DBDV was analyzed. The distribution law of temperature field under the coupling effect of particles and fluid was obtained. The influence of fluid speed on particle temperature and the regeneration proportion in DBDV were analyzed and compared with the existing double barrel. And the main heat transfer mode of particles in DBDV was to be obtained. The results show that the mixture temperature in the proposed DBDV is generally higher than that in the existing DB. And the mixture produced by DBDV is not only friendly to the environment, but also the mixture temperature can meet the construction requirements even if more than half of the RAP materials are added to the mixture. Compared with DB, the addition proportion of DBDV is increased by 9.38% - 20.70%. And the reliability of the simulation work was verified by the indoor experiment platform, which lays a foundation for the application of DBDV.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"7 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77093802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The problem of “range anxiety” of electric vehicles is gradually highlighted. Especially when the onboard air conditioner is used by electric vehicles in winter, its actual range will be significantly shortened. This paper comprehensively analyzes the impact of fresh air demand on the energy consumption of the PTC(Positive Temperature Coefficient)heating system, so that the intelligent control strategy of fresh air under heating conditions is proposed, and the energy-saving effect of the intelligent control scheme is analyzed. It is found that the intelligent control strategy of fresh air can significantly reduce the energy consumption of the system. At the same time, a certain electric vehicle with a battery energy of 100kW·h was selected to analyze its range. It is found that the range of the intelligent control scheme is increased by about 32.34% when the ambient temperature is 0°C.
{"title":"Intelligent Control Strategy of Fresh Air Volume in Cabin under Heating Condition and Evaluation of Its Energy Saving Effect","authors":"Yuanqing Liang, Jianbin Wang, Shuang Wang","doi":"10.1115/1.4062652","DOIUrl":"https://doi.org/10.1115/1.4062652","url":null,"abstract":"Abstract The problem of “range anxiety” of electric vehicles is gradually highlighted. Especially when the onboard air conditioner is used by electric vehicles in winter, its actual range will be significantly shortened. This paper comprehensively analyzes the impact of fresh air demand on the energy consumption of the PTC(Positive Temperature Coefficient)heating system, so that the intelligent control strategy of fresh air under heating conditions is proposed, and the energy-saving effect of the intelligent control scheme is analyzed. It is found that the intelligent control strategy of fresh air can significantly reduce the energy consumption of the system. At the same time, a certain electric vehicle with a battery energy of 100kW·h was selected to analyze its range. It is found that the range of the intelligent control scheme is increased by about 32.34% when the ambient temperature is 0°C.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135642775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. A. Prince, Md Mehrab Hossen Siam, Amit Ghosh, M. Mamun
The present computational investigation aims to investigate the effect of varied buoyancy ratio on mixed convection and entropy formation in a lid-driven trapezoidal enclosure under magnetic field with two rotating cylinders. The effects of SWCNT-water, Cu-water, and Al2O3-water nanofluids individually, as well as effects of three different types of SWCNT-Cu-Al2O3-water hybrid nanofluids are examined. The governing Navier-Stokes, thermal energy, and mass conservation equations are solved using the Galerkin weighted residual finite element method to obtain results as average Nusselt number, Sherwood number, temperature, and Bejan number as output parameters inside the enclosure for different parameter values. Then, an innovative artificial neural network model for effective prediction is created using the simulation data. The optimum values of each of these input parameters are obtained by FEM and ANN, and a comparative study between FEM and ANN is done to get best results for the output parameters. The performance of the created ANN model for novel scenarios is evaluated using Cu-Al2O3-water hybrid nanofluid. The proposed innovative ANN model predicts the findings with less time and sufficient accuracy for each type of studied governing fluids. The model's accuracy for predicting convective heat and mass transfer, along with average dimensionless temperature and Bejan number, was 96.81% and 98.74%, respectively, when tested on training and validation data. On test data, the accuracy was 97.03% for convective heat and mass transfer and 99.17% for average dimensionless temperature and Bejan number.
{"title":"Application of Artificial Intelligence on Predicting the Effects of Buoyancy Ratio on MHD Double-Diffusive Mixed Convection and Entropy Generation in Different Nanofluids and Hybrid-Nanofluids","authors":"H. A. Prince, Md Mehrab Hossen Siam, Amit Ghosh, M. Mamun","doi":"10.1115/1.4062613","DOIUrl":"https://doi.org/10.1115/1.4062613","url":null,"abstract":"\u0000 The present computational investigation aims to investigate the effect of varied buoyancy ratio on mixed convection and entropy formation in a lid-driven trapezoidal enclosure under magnetic field with two rotating cylinders. The effects of SWCNT-water, Cu-water, and Al2O3-water nanofluids individually, as well as effects of three different types of SWCNT-Cu-Al2O3-water hybrid nanofluids are examined. The governing Navier-Stokes, thermal energy, and mass conservation equations are solved using the Galerkin weighted residual finite element method to obtain results as average Nusselt number, Sherwood number, temperature, and Bejan number as output parameters inside the enclosure for different parameter values. Then, an innovative artificial neural network model for effective prediction is created using the simulation data. The optimum values of each of these input parameters are obtained by FEM and ANN, and a comparative study between FEM and ANN is done to get best results for the output parameters. The performance of the created ANN model for novel scenarios is evaluated using Cu-Al2O3-water hybrid nanofluid. The proposed innovative ANN model predicts the findings with less time and sufficient accuracy for each type of studied governing fluids. The model's accuracy for predicting convective heat and mass transfer, along with average dimensionless temperature and Bejan number, was 96.81% and 98.74%, respectively, when tested on training and validation data. On test data, the accuracy was 97.03% for convective heat and mass transfer and 99.17% for average dimensionless temperature and Bejan number.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"7 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90181040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. H. Sebbar, S. Oubenmoh, A. Ait Mssad, S. Hamdaoui, M. Mahdaoui, T. El Rhafiki
Solar thermal collector is a device allows the conversion of solar radiation on useful thermal energy (heat). This technology has become mature and manageable. However, because its input comes from an intermittent source (sun) its production is variable during the day; also it's vulnerable to climatic conditions. To adopt this technology, it is therefore necessary to invest in energy storage means or to use a secondary energy source. In this work, a solar thermal collector has been studied and modeled. The objective of this study consists of; firstly, analyze the impact of the geometrical form of the absorbing surface on the solar collector's thermal performance. Three geometries are tested, namely flat, triangular and corrugated. The depth and period of the last two configurations is low to not affect the collector dimensions. The solar collector is evaluated under a hot climate considering the meteorological data of Er-rachidia city (Morocco). The second part of the present study consists of integrating a latent heat storage system using Phase Change Materials (PCM) to store part of the heat and exploit it during the night. Integrating PCM in this system is a relevant technique to overcome the problem of intermittency of solar energy. Moreover, according to the finding of this study it allows significant improvement of the solar collector thermal performance. The temperature remains locked in acceptable values with a deviation of 6'C from the case without PCM during the last hours of the night.
{"title":"Optimization of geometrical parameters of a solar collector coupled with a thermal energy storage system","authors":"E. H. Sebbar, S. Oubenmoh, A. Ait Mssad, S. Hamdaoui, M. Mahdaoui, T. El Rhafiki","doi":"10.1115/1.4062612","DOIUrl":"https://doi.org/10.1115/1.4062612","url":null,"abstract":"\u0000 Solar thermal collector is a device allows the conversion of solar radiation on useful thermal energy (heat). This technology has become mature and manageable. However, because its input comes from an intermittent source (sun) its production is variable during the day; also it's vulnerable to climatic conditions. To adopt this technology, it is therefore necessary to invest in energy storage means or to use a secondary energy source. In this work, a solar thermal collector has been studied and modeled. The objective of this study consists of; firstly, analyze the impact of the geometrical form of the absorbing surface on the solar collector's thermal performance. Three geometries are tested, namely flat, triangular and corrugated. The depth and period of the last two configurations is low to not affect the collector dimensions. The solar collector is evaluated under a hot climate considering the meteorological data of Er-rachidia city (Morocco). The second part of the present study consists of integrating a latent heat storage system using Phase Change Materials (PCM) to store part of the heat and exploit it during the night. Integrating PCM in this system is a relevant technique to overcome the problem of intermittency of solar energy. Moreover, according to the finding of this study it allows significant improvement of the solar collector thermal performance. The temperature remains locked in acceptable values with a deviation of 6'C from the case without PCM during the last hours of the night.","PeriodicalId":17404,"journal":{"name":"Journal of Thermal Science and Engineering Applications","volume":"1 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77981530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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