Using the finite element simulation software, a visualization model of the electromagnetic wave effect and thermal effect of TDP (specific electromagnetic wave therapy device) on biological tissue was designed. The model studied the electromagnetic wave propagation and heat transfer of TDP in biological tissue. Firstly, a simplified irradiation model was constructed and meshed. Then, the Maxwell equations and the biological heat transfer module were coupled to perform visual simulation. The biological heat transfer module visualized the temperature change caused by electromagnetic wave energy absorption. The simulation results show that after a certain period of irradiation, the temperature difference of the biological tissue is about 6-8 degrees Celsius. side temperature. This study helps to quantitatively analyze the therapeutic effect of TDP, provides help for doctors to determine the therapeutic effect of TDP, and has certain guiding significance for the electromagnetic wave thermal treatment of TDP.
{"title":"Simulation of TDP Therapy Based on Multiphysics","authors":"Jinjie Xie, P. Ran","doi":"10.1145/3547578.3547579","DOIUrl":"https://doi.org/10.1145/3547578.3547579","url":null,"abstract":"Using the finite element simulation software, a visualization model of the electromagnetic wave effect and thermal effect of TDP (specific electromagnetic wave therapy device) on biological tissue was designed. The model studied the electromagnetic wave propagation and heat transfer of TDP in biological tissue. Firstly, a simplified irradiation model was constructed and meshed. Then, the Maxwell equations and the biological heat transfer module were coupled to perform visual simulation. The biological heat transfer module visualized the temperature change caused by electromagnetic wave energy absorption. The simulation results show that after a certain period of irradiation, the temperature difference of the biological tissue is about 6-8 degrees Celsius. side temperature. This study helps to quantitatively analyze the therapeutic effect of TDP, provides help for doctors to determine the therapeutic effect of TDP, and has certain guiding significance for the electromagnetic wave thermal treatment of TDP.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123772270","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}
Based on the actual demand of electronic countermeasure(ECM) training, in order to overcome the disadvantages of manual training data collection at present, a software automatic collection technology is proposed, and the corresponding algorithm is given. Compared with the traditional manual collection method, this technology has the advantages of high efficiency, accuracy, easy transplantation, and easy application of collected data. It can be used in the future electronic countermeasures training tasks to improve the efficiency and quality of data collection, thus improving the effectiveness of training evaluation and achieving the training purpose.
{"title":"Research on Automatic Data Collection Method of Electronic Countermeasure Training","authors":"Jingping Huang, Yamiao Zhang, Xianlong Li, Weiwei Qi","doi":"10.1145/3547578.3547616","DOIUrl":"https://doi.org/10.1145/3547578.3547616","url":null,"abstract":"Based on the actual demand of electronic countermeasure(ECM) training, in order to overcome the disadvantages of manual training data collection at present, a software automatic collection technology is proposed, and the corresponding algorithm is given. Compared with the traditional manual collection method, this technology has the advantages of high efficiency, accuracy, easy transplantation, and easy application of collected data. It can be used in the future electronic countermeasures training tasks to improve the efficiency and quality of data collection, thus improving the effectiveness of training evaluation and achieving the training purpose.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129724241","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}
To reduce the aerodynamic and thermal load of hypersonic vehicle, the aerodynamic performance of a blunt body vehicle with a aerospike on its head is studied numerically. The influence of head shape and L/D (length-to-diameter) ratio of aerospike on flow field characteristics, drag and heat flux reduction was analyzed. The numerical results show that the aerospike can effectively reduce aerodynamic and thermal load. The optimal configuration can obtain 68.55% drag reduction efficiency and 75.23% heat flux reduction efficiency. The drag and heat flux reduction performance of conical aerospike are the worst, the drag reduction performance of hemispherical aerospike is the best, and the heat flux reduction performance of flat-face aerospike is the best. Increasing the L/D ratio of aerospike significantly improves the drag and heat flux reduction performance. With the L/D ratio of the aerospike increasing, both the drag reduction efficiency and the heat flux reduction efficiency increase, but the change rates of drag reduction efficiency and heat flux reduction efficiency decrease.
{"title":"Numerical Investigation of Drag and Heat Flux Reduction in Hypersonic Vehicle with Aerospike","authors":"Yang Xu, S. Fang","doi":"10.1145/3547578.3547593","DOIUrl":"https://doi.org/10.1145/3547578.3547593","url":null,"abstract":"To reduce the aerodynamic and thermal load of hypersonic vehicle, the aerodynamic performance of a blunt body vehicle with a aerospike on its head is studied numerically. The influence of head shape and L/D (length-to-diameter) ratio of aerospike on flow field characteristics, drag and heat flux reduction was analyzed. The numerical results show that the aerospike can effectively reduce aerodynamic and thermal load. The optimal configuration can obtain 68.55% drag reduction efficiency and 75.23% heat flux reduction efficiency. The drag and heat flux reduction performance of conical aerospike are the worst, the drag reduction performance of hemispherical aerospike is the best, and the heat flux reduction performance of flat-face aerospike is the best. Increasing the L/D ratio of aerospike significantly improves the drag and heat flux reduction performance. With the L/D ratio of the aerospike increasing, both the drag reduction efficiency and the heat flux reduction efficiency increase, but the change rates of drag reduction efficiency and heat flux reduction efficiency decrease.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131134146","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}
During the COVID-19 pandemic [35] questions were raised on how to balance government measures ensuring population health and allowing economic development. At the start of the pandemic, Saudi-Arabia and Russia were in a pricing war over crude oil [20] which, along with speculation on the economic impact of COVID-19, led to a unprecedented negative crude oil price in the West Texas Intermediate (WTI) [5]. As the WTI serves as a benchmark for crude oil prices in North America, and a proxy for economic development [23], it is an interesting candidate to use for price forecasting [40]. The pandemic provides a unique perspective, as it introduces a new set of variables [11, 17], such as infections, deaths, vaccinations and government measures 1, that might aid in predicting economic development [1, 4, 14]. Related studies generally focus on macroeconomic development, such as gross domestic product (GDP), unemployment or inflation over years or decades, rather than short-term development over days, weeks or months. This study attempts to combine data from the COVID-19 pandemic, weather, stock pricing data and machine learning techniques to determine the relationship between these variables and their value towards more accurate price forecasting. As stock prices have high variance, extreme values might indicate local or global stock market crashes, an optimal model would be able to predict these crashes. To determine the outcome of our research question, we compare the value of our data between a baseline model, linear model and two state-of-the-art (SOTA) models, the random forest regressor (RFR) and auto-regressive integrated moving average (ARIMA) model. Both SOTA models tend to perform better or similar with less features, indicating the data does not add significant value to the prediction of stock market values.2
{"title":"Dynamic models for analysing stock market behaviour under the COVID-19 pandemic","authors":"Marco Peters","doi":"10.1145/3547578.3547614","DOIUrl":"https://doi.org/10.1145/3547578.3547614","url":null,"abstract":"During the COVID-19 pandemic [35] questions were raised on how to balance government measures ensuring population health and allowing economic development. At the start of the pandemic, Saudi-Arabia and Russia were in a pricing war over crude oil [20] which, along with speculation on the economic impact of COVID-19, led to a unprecedented negative crude oil price in the West Texas Intermediate (WTI) [5]. As the WTI serves as a benchmark for crude oil prices in North America, and a proxy for economic development [23], it is an interesting candidate to use for price forecasting [40]. The pandemic provides a unique perspective, as it introduces a new set of variables [11, 17], such as infections, deaths, vaccinations and government measures 1, that might aid in predicting economic development [1, 4, 14]. Related studies generally focus on macroeconomic development, such as gross domestic product (GDP), unemployment or inflation over years or decades, rather than short-term development over days, weeks or months. This study attempts to combine data from the COVID-19 pandemic, weather, stock pricing data and machine learning techniques to determine the relationship between these variables and their value towards more accurate price forecasting. As stock prices have high variance, extreme values might indicate local or global stock market crashes, an optimal model would be able to predict these crashes. To determine the outcome of our research question, we compare the value of our data between a baseline model, linear model and two state-of-the-art (SOTA) models, the random forest regressor (RFR) and auto-regressive integrated moving average (ARIMA) model. Both SOTA models tend to perform better or similar with less features, indicating the data does not add significant value to the prediction of stock market values.2","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126353579","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}
This paper presents the developmental process and preliminary results of testing a game-based intervention aimed at promoting emotional health among adolescents between the ages of 13-17 years. There are more than 20 million adolescents between those ages living in the United States. Stress plays a significant factor in the physical, emotional, and psychological well-being of individuals and may particularly affect the quality of life of children. Previous 2D serious games have been developed to give children an avenue to escape from stressors, however many of these games lacked realism and were not as attractive. We designed and developed a virtual reality (VR) game aimed at improving the social and emotional well-being of adolescents. Due to its immersive nature, our preliminary data showed that the VR game was effective in enhancing the emotional well-being of adolescents. Further studies will be needed to be undertaken to confirm its effectiveness in other groups of people.
{"title":"Improving the Emotional Health of Juveniles with VR Game","authors":"Alice J. Lin, Charles Chen, Fuhua Cheng","doi":"10.1145/3547578.3547608","DOIUrl":"https://doi.org/10.1145/3547578.3547608","url":null,"abstract":"This paper presents the developmental process and preliminary results of testing a game-based intervention aimed at promoting emotional health among adolescents between the ages of 13-17 years. There are more than 20 million adolescents between those ages living in the United States. Stress plays a significant factor in the physical, emotional, and psychological well-being of individuals and may particularly affect the quality of life of children. Previous 2D serious games have been developed to give children an avenue to escape from stressors, however many of these games lacked realism and were not as attractive. We designed and developed a virtual reality (VR) game aimed at improving the social and emotional well-being of adolescents. Due to its immersive nature, our preliminary data showed that the VR game was effective in enhancing the emotional well-being of adolescents. Further studies will be needed to be undertaken to confirm its effectiveness in other groups of people.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121270485","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}
Chen Zhao, Yucheng Li, Xing Deng, Nuan Song, Tao Wang, Qingpeng Deng, Zonghua Li
Range deterioration of Battery Electric Vehicle (BEV) under extreme environment temperature, especially under sub-zero temperature, has become one of the biggest challenges for Original Equipment Manufacturer (OEM). In this paper, a simulation model has been developed, which focuses on the correlation between range variation and environment condition. The concept of this model is to couple vehicle dynamics and the thermal behaviour of key components such as battery, electric drive system (EDS) and cabin. A matrix of steady-state experiments has been designed to calibrate this model. In conclusion, the confidence level in terms of relative error is within 2.2% for vehicle range, 2°C for battery temperature, 2°C for cabin temperature. After being validated, this model has been adopted to investigate the integrated thermal management system (TMS) of an A class sedan. A combination between thermal management of vehicle subsystems like battery, EDS and cabin has been explored in order to achieve a potentially maximum gain in terms of vehicle range. A potential 10.6% improvement of range under -7°C could be achieved. A map of range variation under different environment temperature has been drawn, indicating that the range variation was from 28.1% to 50.9%.
{"title":"Computational Investigation on Integrated Thermal Management System for Electric Vehicle","authors":"Chen Zhao, Yucheng Li, Xing Deng, Nuan Song, Tao Wang, Qingpeng Deng, Zonghua Li","doi":"10.1145/3547578.3547585","DOIUrl":"https://doi.org/10.1145/3547578.3547585","url":null,"abstract":"Range deterioration of Battery Electric Vehicle (BEV) under extreme environment temperature, especially under sub-zero temperature, has become one of the biggest challenges for Original Equipment Manufacturer (OEM). In this paper, a simulation model has been developed, which focuses on the correlation between range variation and environment condition. The concept of this model is to couple vehicle dynamics and the thermal behaviour of key components such as battery, electric drive system (EDS) and cabin. A matrix of steady-state experiments has been designed to calibrate this model. In conclusion, the confidence level in terms of relative error is within 2.2% for vehicle range, 2°C for battery temperature, 2°C for cabin temperature. After being validated, this model has been adopted to investigate the integrated thermal management system (TMS) of an A class sedan. A combination between thermal management of vehicle subsystems like battery, EDS and cabin has been explored in order to achieve a potentially maximum gain in terms of vehicle range. A potential 10.6% improvement of range under -7°C could be achieved. A map of range variation under different environment temperature has been drawn, indicating that the range variation was from 28.1% to 50.9%.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126989741","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}
This paper presents a high-order all-speed scheme termed FR-SLAU to solve compressible inviscid flows with a wide range of Mach numbers. The method is based on the application of the high-order flux reconstruction method for the space discretization, combined with an all-speed SLAU scheme as the Riemann solver at cell interfaces. Numerical examples demonstrate that pressure errors known for conventional Godunov schemes are avoided. In addition, the new approach is also free from the cut-off reference Mach number that is required by preconditioning techniques. As a result, we obtain a numerical technique allowing the solution of compressible flows with practically all Mach numbers without any modification of the Euler equations. These encourage us to further apply the present method to practical problems involving complex geometries.
{"title":"A High-order FR-SLAU Scheme for Compressible Inviscid All-speed Flows","authors":"Yaojie Yu, Feng Liu, Jinsheng Cai","doi":"10.1145/3547578.3547598","DOIUrl":"https://doi.org/10.1145/3547578.3547598","url":null,"abstract":"This paper presents a high-order all-speed scheme termed FR-SLAU to solve compressible inviscid flows with a wide range of Mach numbers. The method is based on the application of the high-order flux reconstruction method for the space discretization, combined with an all-speed SLAU scheme as the Riemann solver at cell interfaces. Numerical examples demonstrate that pressure errors known for conventional Godunov schemes are avoided. In addition, the new approach is also free from the cut-off reference Mach number that is required by preconditioning techniques. As a result, we obtain a numerical technique allowing the solution of compressible flows with practically all Mach numbers without any modification of the Euler equations. These encourage us to further apply the present method to practical problems involving complex geometries.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126035318","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}
Because of exposure to natural environment or specific working environment, energetic materials are easily affected by heat, oxygen, light and other factors in the process of processing, storage or use, and are prone to physical or chemical changes, resulting in degradation of material properties and even unusable. Therefore, how to accurately predict the aging life of energetic materials, choose appropriate test methods, and reduce the cost of existing aging test is particularly important. Based on chemical kinetics theory, this paper introduces the internal relationship between material aging performance P, aging time t and aging temperature T, and reviews the mathematical model and calculation method for predicting the safe storage life of energetic materials. Including the commonly used Arrhenius equation, Berthelot equation, modified Arrhenius equation, classical linear relation method, P-t-T mathematical model method, Monte Carlo simulation and other methods, discusses the characteristics and feasibility of mathematical model, establish the program flow of model implementation. It makes preparation for the development of a material aging life prediction software, and also facilitates production practice and improves the prediction efficiency.
{"title":"Aging Life Prediction Model of Energetic Materials","authors":"Yongfei Pan, F. Nan, P. Chen","doi":"10.1145/3547578.3552514","DOIUrl":"https://doi.org/10.1145/3547578.3552514","url":null,"abstract":"Because of exposure to natural environment or specific working environment, energetic materials are easily affected by heat, oxygen, light and other factors in the process of processing, storage or use, and are prone to physical or chemical changes, resulting in degradation of material properties and even unusable. Therefore, how to accurately predict the aging life of energetic materials, choose appropriate test methods, and reduce the cost of existing aging test is particularly important. Based on chemical kinetics theory, this paper introduces the internal relationship between material aging performance P, aging time t and aging temperature T, and reviews the mathematical model and calculation method for predicting the safe storage life of energetic materials. Including the commonly used Arrhenius equation, Berthelot equation, modified Arrhenius equation, classical linear relation method, P-t-T mathematical model method, Monte Carlo simulation and other methods, discusses the characteristics and feasibility of mathematical model, establish the program flow of model implementation. It makes preparation for the development of a material aging life prediction software, and also facilitates production practice and improves the prediction efficiency.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133531013","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}
R. Yan, Zhenlei Chen, Chang Liu, Fengyuan Yang, Yi Hu
In order to study the cracking problem of turbine components under high temperature conditions, a global fluid-structure interaction model was established by numerical simulation method. The temperature field distribution of the turbine casing and the stress distribution of typical components were simulated and analyzed. The comparison with the traditional fluid-structure interaction model was carried out. The results show that the temperature field obtained by the global fluid-solid coupling model is highly consistent with the test results, and is more accurate than the traditional model.The increase of Nozzle Ring assembly stress and Vane expansion stagnation are the main reasons for the cracking of parts under high temperature load, which is the cause of cracking. Research results can provide reference for engineering application analysis of turbine casing failure and part structure optimization.
{"title":"Stress Analysis of Turbocharger Turbine based on Fluid-Structure Coupling","authors":"R. Yan, Zhenlei Chen, Chang Liu, Fengyuan Yang, Yi Hu","doi":"10.1145/3547578.3547595","DOIUrl":"https://doi.org/10.1145/3547578.3547595","url":null,"abstract":"In order to study the cracking problem of turbine components under high temperature conditions, a global fluid-structure interaction model was established by numerical simulation method. The temperature field distribution of the turbine casing and the stress distribution of typical components were simulated and analyzed. The comparison with the traditional fluid-structure interaction model was carried out. The results show that the temperature field obtained by the global fluid-solid coupling model is highly consistent with the test results, and is more accurate than the traditional model.The increase of Nozzle Ring assembly stress and Vane expansion stagnation are the main reasons for the cracking of parts under high temperature load, which is the cause of cracking. Research results can provide reference for engineering application analysis of turbine casing failure and part structure optimization.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125657770","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}
The residual film barrier device is installed at the bottom of the picking head of the cotton picker to block the negative pressure at the hole of removing impurities to suck the residual film, and the nozzle is one of its important working parts. The jet air curtain generated by the nozzle can effectively block the residual film on the surface from being sucked into the picking head through the hole of removing impurities due to negative pressure. The structure of the nozzle is optimized to improve the performance of the air curtain, which in turn improves the residual film blocking effect, reduces the residual film content in cotton and improves the quality of cotton. The optimized nozzle is trapezoidal structure, the upper bottom edge D is 25mm, the velocity inhomogeneity coefficient of opening 1 and opening 2 are 4.82% and 5.25% respectively, the velocity deviation is 0.19, the nozzle flow field characteristics are good. It was found that the average relative errors between the simulated and measured values of velocity on both sides of the nozzle were 1.54% and 2.32%, and the correlation coefficients were 96.0% and 95.4%, respectively, with good correlation and reasonable nozzle optimization results.
{"title":"Simulation and Test of Nozzle Optimization of Residual Film Barrier Device based on Fluent","authors":"Yingjun Wang, Rong Hu, Huting Wang, Xue-Chen Feng","doi":"10.1145/3547578.3547586","DOIUrl":"https://doi.org/10.1145/3547578.3547586","url":null,"abstract":"The residual film barrier device is installed at the bottom of the picking head of the cotton picker to block the negative pressure at the hole of removing impurities to suck the residual film, and the nozzle is one of its important working parts. The jet air curtain generated by the nozzle can effectively block the residual film on the surface from being sucked into the picking head through the hole of removing impurities due to negative pressure. The structure of the nozzle is optimized to improve the performance of the air curtain, which in turn improves the residual film blocking effect, reduces the residual film content in cotton and improves the quality of cotton. The optimized nozzle is trapezoidal structure, the upper bottom edge D is 25mm, the velocity inhomogeneity coefficient of opening 1 and opening 2 are 4.82% and 5.25% respectively, the velocity deviation is 0.19, the nozzle flow field characteristics are good. It was found that the average relative errors between the simulated and measured values of velocity on both sides of the nozzle were 1.54% and 2.32%, and the correlation coefficients were 96.0% and 95.4%, respectively, with good correlation and reasonable nozzle optimization results.","PeriodicalId":381600,"journal":{"name":"Proceedings of the 14th International Conference on Computer Modeling and Simulation","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116837200","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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