- Injection water pH affects the release of fines in sandstones. The force equilibrium between fines and sand governs the attachment or release of fines in the system. At a pH higher than a critical value, fines are released and block the pores, causing formation damage. The fines release can be avoided by adjusting the pH and using nanofluids. This paper introduces the concept of DLVO modelling to estimate the critical pH before and after the application of nanofluids without extensive experimentation. Scanning electron microscopy determines the average size of in-situ fines collected from sandstone core. Injection brine of 11700ppm and 0.1wt% nanofluid are prepared, zeta potentials of dispersed sand are measured with varying pH from 2 to 12, and the resulting attractive and repulsive surface forces between fines and sand grains are quantified. The DLVO models are developed to predict the mobilization of fines and a critical pH before and after the application of silica nanofluids. The zeta potentials are measured by a Zetasizer and are in the range of -5 mV (less repulsion) to -31 mV (more repulsion). Furthermore, the application of nanofluids increases the zeta potential to a range of -3 mV to -24.9 mV, indicating a compression in electric double layers. Measured zeta potentials, ionic strength, and fine size are used as inputs to compute surface forces, and DLVO models are developed. The critical pH, at which total DLVO interactions shift from negative to positive, as predicted by the model, is about 8. The DLVO model also predicted an improved critical pH of 11 following the use of nanofluids, demonstrating a reduction in repulsion forces. DLVO modelling approach helps estimate a critical pH before and after applying nanofluids, and nanotechnology validates nanoparticles' ability to control fines migration and improve critical pH for waterflooding and alkaline flooding operations.
{"title":"Prediction of Critical pH for Fines Migration Pre and Post Nanofluid Treatment in Sandstone Reservoirs using the DLVO Modelling","authors":"R. Muneer, M. Hashmet, P. Pourafshary","doi":"10.11159/iccpe22.126","DOIUrl":"https://doi.org/10.11159/iccpe22.126","url":null,"abstract":"- Injection water pH affects the release of fines in sandstones. The force equilibrium between fines and sand governs the attachment or release of fines in the system. At a pH higher than a critical value, fines are released and block the pores, causing formation damage. The fines release can be avoided by adjusting the pH and using nanofluids. This paper introduces the concept of DLVO modelling to estimate the critical pH before and after the application of nanofluids without extensive experimentation. Scanning electron microscopy determines the average size of in-situ fines collected from sandstone core. Injection brine of 11700ppm and 0.1wt% nanofluid are prepared, zeta potentials of dispersed sand are measured with varying pH from 2 to 12, and the resulting attractive and repulsive surface forces between fines and sand grains are quantified. The DLVO models are developed to predict the mobilization of fines and a critical pH before and after the application of silica nanofluids. The zeta potentials are measured by a Zetasizer and are in the range of -5 mV (less repulsion) to -31 mV (more repulsion). Furthermore, the application of nanofluids increases the zeta potential to a range of -3 mV to -24.9 mV, indicating a compression in electric double layers. Measured zeta potentials, ionic strength, and fine size are used as inputs to compute surface forces, and DLVO models are developed. The critical pH, at which total DLVO interactions shift from negative to positive, as predicted by the model, is about 8. The DLVO model also predicted an improved critical pH of 11 following the use of nanofluids, demonstrating a reduction in repulsion forces. DLVO modelling approach helps estimate a critical pH before and after applying nanofluids, and nanotechnology validates nanoparticles' ability to control fines migration and improve critical pH for waterflooding and alkaline flooding operations.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130011506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andoniaina M. Randriambololona, M. Shaeri, Soroush Sarabi
The present study investigates the dependency of prediction accuracy of an artificial neural network (ANN) on the network architecture using 65 different neural networks from seven architecture patterns. The accuracy of the ANNs is compared based on their capability to predict heat transfer coefficients of air-cooled heat sinks operating in laminar flow. Scattered input data is used for training the networks to make the modelling more realistic and closer to practical applications. The input variables for the neural network are heat sink width, channel height, channel length, number of channels, fin thickness, and Reynolds number. The output is heat transfer coefficient. The training process for all ANNs is performed using ReLU as the activation function. The accuracy of the neural networks is evaluated by the root mean square error. It is found that the prediction accuracy of an ANN is strongly dictated by the optimization of the network architecture, which corresponds to the proper number of hidden layers and the number of neurons at each layer. The most accurate architecture in the present study predicts heat transfer coefficients of 60% and 86% of heat sinks within ±10% and ±20% of the true values, respectively. However, an ANN with an unoptimized architecture results in a substantially reduced accuracy such that it predicts heat transfer coefficients of only 19% and 30% of heat sinks within ±10% and ±20% of the true values, respectively.
{"title":"Prediction Accuracy of Artificial Neural Networks in Thermal Management Applications Subject to Neural Network Architectures","authors":"Andoniaina M. Randriambololona, M. Shaeri, Soroush Sarabi","doi":"10.11159/htff22.175","DOIUrl":"https://doi.org/10.11159/htff22.175","url":null,"abstract":"The present study investigates the dependency of prediction accuracy of an artificial neural network (ANN) on the network architecture using 65 different neural networks from seven architecture patterns. The accuracy of the ANNs is compared based on their capability to predict heat transfer coefficients of air-cooled heat sinks operating in laminar flow. Scattered input data is used for training the networks to make the modelling more realistic and closer to practical applications. The input variables for the neural network are heat sink width, channel height, channel length, number of channels, fin thickness, and Reynolds number. The output is heat transfer coefficient. The training process for all ANNs is performed using ReLU as the activation function. The accuracy of the neural networks is evaluated by the root mean square error. It is found that the prediction accuracy of an ANN is strongly dictated by the optimization of the network architecture, which corresponds to the proper number of hidden layers and the number of neurons at each layer. The most accurate architecture in the present study predicts heat transfer coefficients of 60% and 86% of heat sinks within ±10% and ±20% of the true values, respectively. However, an ANN with an unoptimized architecture results in a substantially reduced accuracy such that it predicts heat transfer coefficients of only 19% and 30% of heat sinks within ±10% and ±20% of the true values, respectively.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122190111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Building an outpost on the moon has become a new frontier in deep space exploration [1-3]. The moon contains rich mineral and energy resources [4], provides 715,000 tons of helium-3, 70 trillion tons of TiO 2 and other mineral resources, and has important location resources such as space communication, exploration, and scientific experiments. However, due to the high Earth-to-Moon launch cost, the transportation of large amount of materials from Earth for the construction of lunar base is unfeasible. In-situ resource utilization (ISRU), which can make the exploration of the Moon much more sustainable by dramatically reducing the cost, has become a focal point of research targeted to developing technologies in support of the long-term on-site exploration. Solar energy and lunar soil are in-situ resources directly available on the lunar surface. The effective use of solar energy and lunar soil can greatly reduce the construction cost of the lunar base. In addition, the harsh environment of the moon, such as high vacuum, low gravity and large temperature difference, requires an unmanned and autonomous method to build infrastructure. The additive manufacturing (AM, also known as 3D printing) system can meet the above requirements.
{"title":"3D Printing Of Lunar Soil Simulant towards Compact Structures","authors":"Yiwei Liu, X. Zhang, Qinggong Wang, Chao Wang, Jian Song, Xiong Chen, Wei Yao","doi":"10.11159/htff22.162","DOIUrl":"https://doi.org/10.11159/htff22.162","url":null,"abstract":"Building an outpost on the moon has become a new frontier in deep space exploration [1-3]. The moon contains rich mineral and energy resources [4], provides 715,000 tons of helium-3, 70 trillion tons of TiO 2 and other mineral resources, and has important location resources such as space communication, exploration, and scientific experiments. However, due to the high Earth-to-Moon launch cost, the transportation of large amount of materials from Earth for the construction of lunar base is unfeasible. In-situ resource utilization (ISRU), which can make the exploration of the Moon much more sustainable by dramatically reducing the cost, has become a focal point of research targeted to developing technologies in support of the long-term on-site exploration. Solar energy and lunar soil are in-situ resources directly available on the lunar surface. The effective use of solar energy and lunar soil can greatly reduce the construction cost of the lunar base. In addition, the harsh environment of the moon, such as high vacuum, low gravity and large temperature difference, requires an unmanned and autonomous method to build infrastructure. The additive manufacturing (AM, also known as 3D printing) system can meet the above requirements.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114008614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient Energy Architectures","authors":"Sylvie Lorente","doi":"10.11159/htff22.002","DOIUrl":"https://doi.org/10.11159/htff22.002","url":null,"abstract":"","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123618322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Extended Abstract R134a refrigerant has been applied to air conditioning systems for automobiles. However, R134a with a global warming potential (GWP) of 1430 should be phased out based on the Kyoto Protocol. Furthermore, in 2017, the European Parliament passed a law banning sale and operation of all automobiles that use refrigerants with a GWP of 150 or higher. Thus, R1234yf with a GWP of 4 is being applied to the air conditioning system for electric vehicles. However, R1234yf is more expensive than R134a [1]. Furthermore, when the outside temperature is below -10 ℃, the evaporator decreases to the vacuum pressure and the heating performance of an air source heat pump is significantly degraded [2]. Therefore, R152a, R290, and R600a are considered as alternative refrigerants [3] that have a low GWP and excellent thermodynamic properties with a relatively low price. However, these refrigerants have not been considered as alternatives to R134a owing to safety concerns with high flammability. The stability of the flammable refrigerants can be ensured by applying an indirect air conditioning system. The indirect system avoids the driver's exposure to flammable refrigerants and the coolant circulates the vehicle cabin for cooling and heating. The objective of this study is to quantitatively analyze the annual energy consumption of an indirect air conditioning system using R134a, R152a, and R290. Based on cycle
{"title":"Annual Energy Consumption of Indirect Air Conditioning Systems for Electric Vehicles Using Alternative Refrigerants","authors":"Soon-Doo Kwon, Yongchan Kim","doi":"10.11159/htff22.126","DOIUrl":"https://doi.org/10.11159/htff22.126","url":null,"abstract":"Extended Abstract R134a refrigerant has been applied to air conditioning systems for automobiles. However, R134a with a global warming potential (GWP) of 1430 should be phased out based on the Kyoto Protocol. Furthermore, in 2017, the European Parliament passed a law banning sale and operation of all automobiles that use refrigerants with a GWP of 150 or higher. Thus, R1234yf with a GWP of 4 is being applied to the air conditioning system for electric vehicles. However, R1234yf is more expensive than R134a [1]. Furthermore, when the outside temperature is below -10 ℃, the evaporator decreases to the vacuum pressure and the heating performance of an air source heat pump is significantly degraded [2]. Therefore, R152a, R290, and R600a are considered as alternative refrigerants [3] that have a low GWP and excellent thermodynamic properties with a relatively low price. However, these refrigerants have not been considered as alternatives to R134a owing to safety concerns with high flammability. The stability of the flammable refrigerants can be ensured by applying an indirect air conditioning system. The indirect system avoids the driver's exposure to flammable refrigerants and the coolant circulates the vehicle cabin for cooling and heating. The objective of this study is to quantitatively analyze the annual energy consumption of an indirect air conditioning system using R134a, R152a, and R290. Based on cycle","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122323023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Heat Flux Prediction Accuracy Assessment of Separated Mode and Doenecke Equations for MLI Blankets","authors":"Toygan Er, Özgür Ekici","doi":"10.11159/htff22.160","DOIUrl":"https://doi.org/10.11159/htff22.160","url":null,"abstract":"","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127401638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Natural circulation is a crucial passive heat removal process for all light water reactors. To understand the consequences of decreasing primary coolant inventory on natural circulation, an analytical one-dimensional model has been developed for a sinusoidal input heat distribution, based on solutions to the continuity, momentum and energy equations and expressions for the natural circulation parameters have been derived for PWR plant. The model encompasses all potential types of natural circulation (single-phase, combined single and two-phase, and two-phase). In this paper, it is found that the transition between the different modes of natural circulation with various system inventories is smooth. As the flow mode changes from single-phase (100% mass inventory) to two-phase natural circulation, the loop mass flow rate increases and exhibits a peak within a narrow band of inventory (usually between 60-80%). Also, it is demonstrated that natural circulation in a PWR type system can provide an effective mechanism for the rejection of core decay heat to the secondary over a primary coolant inventory range of 100 to 60%, and a core decay power range of 1.5 to 5% of full power. Comparisons are made between pervious experimental results and prior research and the analytical outcomes are found to be in reasonable accord.
{"title":"Natural Circulation in a PWR for a Sinusoidal Heat Input: Analytical Model","authors":"M. Abdulrahman","doi":"10.11159/htff22.189","DOIUrl":"https://doi.org/10.11159/htff22.189","url":null,"abstract":"Natural circulation is a crucial passive heat removal process for all light water reactors. To understand the consequences of decreasing primary coolant inventory on natural circulation, an analytical one-dimensional model has been developed for a sinusoidal input heat distribution, based on solutions to the continuity, momentum and energy equations and expressions for the natural circulation parameters have been derived for PWR plant. The model encompasses all potential types of natural circulation (single-phase, combined single and two-phase, and two-phase). In this paper, it is found that the transition between the different modes of natural circulation with various system inventories is smooth. As the flow mode changes from single-phase (100% mass inventory) to two-phase natural circulation, the loop mass flow rate increases and exhibits a peak within a narrow band of inventory (usually between 60-80%). Also, it is demonstrated that natural circulation in a PWR type system can provide an effective mechanism for the rejection of core decay heat to the secondary over a primary coolant inventory range of 100 to 60%, and a core decay power range of 1.5 to 5% of full power. Comparisons are made between pervious experimental results and prior research and the analytical outcomes are found to be in reasonable accord.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127532215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Sabanov, Nursultan Magauiya, Aibyn Zenulla, Akmaral S. Abil, Gulnur Nurshaiykova
Extended Abstract Underground mines are particularly hazardous environments where miners have exposure to toxic fumes and gases. To ensure mine safety a sufficient mine ventilation must be provided. Ventilation of underground mines should be estimated considering diesel equipment's engine power, blasting toxic fumes, gases, aerosols, dust and the unit airflow needed. Diesel engines are main sources of toxic gases (CO, CO 2 , NOX, SO 2 , hydrocarbons) and diesel particulate matter (DPM). DPM is related to elemental carbon (EC) and organic carbon (OC) and numerous gases and aerosols produced by incomplete combustion. Relationship between EC and OC fractions in untreated exhaust depends on engine operating conditions, engine type, fuel type, and a number of other parameters [5]. The total carbon (TC) is calculated by adding the EC and OC numbers together, and it typically represents 80% of the DPM [6]. Only 5-10% of all DPM are greater than one micrometer diameter [2]. Particulate Matter (PM 1 ) concentration is commonly thought to be used as a DPM level since it is the size range that encompasses practically all DPM [5]. Mine ventilation, diesel emission rate, exhaust flow direction,
{"title":"Diesel Particulate Matter Exposure to an Operator of LHD Loader Working in an Active Ore Heading Area","authors":"S. Sabanov, Nursultan Magauiya, Aibyn Zenulla, Akmaral S. Abil, Gulnur Nurshaiykova","doi":"10.11159/mmm22.132","DOIUrl":"https://doi.org/10.11159/mmm22.132","url":null,"abstract":"Extended Abstract Underground mines are particularly hazardous environments where miners have exposure to toxic fumes and gases. To ensure mine safety a sufficient mine ventilation must be provided. Ventilation of underground mines should be estimated considering diesel equipment's engine power, blasting toxic fumes, gases, aerosols, dust and the unit airflow needed. Diesel engines are main sources of toxic gases (CO, CO 2 , NOX, SO 2 , hydrocarbons) and diesel particulate matter (DPM). DPM is related to elemental carbon (EC) and organic carbon (OC) and numerous gases and aerosols produced by incomplete combustion. Relationship between EC and OC fractions in untreated exhaust depends on engine operating conditions, engine type, fuel type, and a number of other parameters [5]. The total carbon (TC) is calculated by adding the EC and OC numbers together, and it typically represents 80% of the DPM [6]. Only 5-10% of all DPM are greater than one micrometer diameter [2]. Particulate Matter (PM 1 ) concentration is commonly thought to be used as a DPM level since it is the size range that encompasses practically all DPM [5]. Mine ventilation, diesel emission rate, exhaust flow direction,","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126834996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
- For the wet friction pair, the UMT disc-disc test was carried out to study the temperature distribution of the friction interface. The influence of relative rotational speed, applied load, and lubricating oil flow rate on the temperature change of the friction interface was analyzed. It was found that the temperature field of the contact surface can be measured by drilling temperature measuring holes of different depths in the friction lining and arranging temperature sensors. During the sliding friction process, the temperature distribution of the friction interface is not uniform. Different radial depths have different temperature values. Near the radial midpoint of the inner diameter, the temperature value is the highest, and the temperature rise rate is the largest. Next is the radial midpoint position near the outer diameter. The temperature is lowest near the edges of the inner and outer diameters of the friction linings. The temperature value of the friction interface increases with the increase of relative rotational speed and applied pressure. When the friction pair working conditions are constant, the lubricating oil flow has a certain influence on the decrease of the friction interface temperature.
{"title":"Investigations of Contact Temperature in Disc-on-Disc Tribotesting \u0000under Boundary Lubrication","authors":"Qian Wang, Man Chen, Liang Yu, Liyong Wang, B. Ma","doi":"10.11159/icmie22.127","DOIUrl":"https://doi.org/10.11159/icmie22.127","url":null,"abstract":"- For the wet friction pair, the UMT disc-disc test was carried out to study the temperature distribution of the friction interface. The influence of relative rotational speed, applied load, and lubricating oil flow rate on the temperature change of the friction interface was analyzed. It was found that the temperature field of the contact surface can be measured by drilling temperature measuring holes of different depths in the friction lining and arranging temperature sensors. During the sliding friction process, the temperature distribution of the friction interface is not uniform. Different radial depths have different temperature values. Near the radial midpoint of the inner diameter, the temperature value is the highest, and the temperature rise rate is the largest. Next is the radial midpoint position near the outer diameter. The temperature is lowest near the edges of the inner and outer diameters of the friction linings. The temperature value of the friction interface increases with the increase of relative rotational speed and applied pressure. When the friction pair working conditions are constant, the lubricating oil flow has a certain influence on the decrease of the friction interface temperature.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116779598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gouda El Mehdi, Benaouicha Mustapha, Neu Thibault, Fan Yilin, Luo Linga
Liquid piston technology has proved its efficiency into the achievement of Isothermal Compressed Air Energy Storage. While the concept is no more a new one, the description and the understanding of the physics of the flow and heat transfer during compression process are not completely achieved. Through a CFD study based on the resolution of Navierstokes equations and VOF method for interface tracking, a characterization of the flow and heat transfer inside the liquid piston, which are complex, are presented. The numerical results were validated and compared with the ones obtained in a former experimental study. Both velocity and temperature fields and profiles are analyzed locally and globally. In this study, it is found that with a compression ratio of 5 and compression time of 21s, the air's average temperature rises non linearly with 32K. The velocity and temperature profiles undergo several stages. A characteristic structure appears at the beginning of the compression where the flow is axisymmetric and remains so until its disruption. It is observed that the structure disruption occurs closer to the cylinder head moments after the highest local velocities are observed. Velocity fields analysis show that the air's velocity can be higher than 10 time the piston velocity.
{"title":"CFD Study Of Flow And Heat Transfer During Compression Process In A Liquid Piston For Isothermal Compressed Air Energy Storage","authors":"Gouda El Mehdi, Benaouicha Mustapha, Neu Thibault, Fan Yilin, Luo Linga","doi":"10.11159/htff22.171","DOIUrl":"https://doi.org/10.11159/htff22.171","url":null,"abstract":"Liquid piston technology has proved its efficiency into the achievement of Isothermal Compressed Air Energy Storage. While the concept is no more a new one, the description and the understanding of the physics of the flow and heat transfer during compression process are not completely achieved. Through a CFD study based on the resolution of Navierstokes equations and VOF method for interface tracking, a characterization of the flow and heat transfer inside the liquid piston, which are complex, are presented. The numerical results were validated and compared with the ones obtained in a former experimental study. Both velocity and temperature fields and profiles are analyzed locally and globally. In this study, it is found that with a compression ratio of 5 and compression time of 21s, the air's average temperature rises non linearly with 32K. The velocity and temperature profiles undergo several stages. A characteristic structure appears at the beginning of the compression where the flow is axisymmetric and remains so until its disruption. It is observed that the structure disruption occurs closer to the cylinder head moments after the highest local velocities are observed. Velocity fields analysis show that the air's velocity can be higher than 10 time the piston velocity.","PeriodicalId":385356,"journal":{"name":"Proceedings of the 8th World Congress on Mechanical, Chemical, and Material Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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