There have been many pieces of research on the vibration isolation theory of the single slotted disc spring. However, the theory of the series slotted disc spring and its bandwidth optimization is rarely mentioned. Therefore, by considering the effect of boundary friction of series slotted disc spring units, we optimized the general formula for the load–deflection relationship of a slotted disc spring. The accuracy of the optimization was verified by simulation. Furthermore, it expands on the application range of the general formula, making it suitable for both single and series slotted disc springs. The nonlinear dynamic model of the slotted disc spring was established, and the multiscale method was used to study system parameters under strong excitation conditions. System parameters affected the response characteristics of the primary, superharmonic, and subharmonic resonance of series slotted disc spring units. Results showed that reducing the nonlinear stiffness and increasing the viscous damping coefficient and friction reaction coefficient are beneficial to improving the vibration isolation performance. We further deduced that the effective bandwidth of vibration isolation could be increased by adding the mass of the block, slotted depth, and number of slotted disc spring units. Therefore, this research provides theoretical guidance that is significant for engineering applications.
{"title":"Vibration characteristics of slotted disc spring series vibration isolation unit","authors":"Xiaoming Huang, Z. Yin, Maolin Liao, Mingge Li","doi":"10.1139/tcsme-2021-0214","DOIUrl":"https://doi.org/10.1139/tcsme-2021-0214","url":null,"abstract":"There have been many pieces of research on the vibration isolation theory of the single slotted disc spring. However, the theory of the series slotted disc spring and its bandwidth optimization is rarely mentioned. Therefore, by considering the effect of boundary friction of series slotted disc spring units, we optimized the general formula for the load–deflection relationship of a slotted disc spring. The accuracy of the optimization was verified by simulation. Furthermore, it expands on the application range of the general formula, making it suitable for both single and series slotted disc springs. The nonlinear dynamic model of the slotted disc spring was established, and the multiscale method was used to study system parameters under strong excitation conditions. System parameters affected the response characteristics of the primary, superharmonic, and subharmonic resonance of series slotted disc spring units. Results showed that reducing the nonlinear stiffness and increasing the viscous damping coefficient and friction reaction coefficient are beneficial to improving the vibration isolation performance. We further deduced that the effective bandwidth of vibration isolation could be increased by adding the mass of the block, slotted depth, and number of slotted disc spring units. Therefore, this research provides theoretical guidance that is significant for engineering applications.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46600316","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 machining, the tool condition has to be monitored by condition monitoring techniques to prevent damage by the use of tools and the workpiece. Cutting forces acting on the tool between zero and maximum values cause the cutting edge to crack and break. Predetection of this situation in the cutting tool is very important to prevent any negative situation that may occur. This study introduces a vibration-based intelligent tool condition monitoring technique to detect involute form cutter faults such as tool breakage at different levels during gear production on a milling machine. Machine learning algorithms such as artificial neural network, random forest, support vector machine, and K-nearest neighbor were used to detect the broken teeth and its level of breakage. According to the results obtained, it was observed that all the algorithms are successful in detecting faults in different teeth; also they have identification advantages according to different fault levels. In addition, the time and frequency domain analysis and continuous wavelet transform were used to determine the local faults. The developed machine learning-based detection performances compared the classical time and frequency domain analyses and continuous wavelet transform to prove the effectiveness and precision of the proposed methods. The results showed that all of the machine learning techniques have satisfactory performance to be used as fast and precise detection tools without complex calculations for detecting tool breakage.
{"title":"A comparison of four machine learning techniques and continuous wavelet transform approach for detection and classification of tool breakage during milling process","authors":"H. Demir, I. Yesilyurt","doi":"10.1139/tcsme-2022-0052","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0052","url":null,"abstract":"In machining, the tool condition has to be monitored by condition monitoring techniques to prevent damage by the use of tools and the workpiece. Cutting forces acting on the tool between zero and maximum values cause the cutting edge to crack and break. Predetection of this situation in the cutting tool is very important to prevent any negative situation that may occur. This study introduces a vibration-based intelligent tool condition monitoring technique to detect involute form cutter faults such as tool breakage at different levels during gear production on a milling machine. Machine learning algorithms such as artificial neural network, random forest, support vector machine, and K-nearest neighbor were used to detect the broken teeth and its level of breakage. According to the results obtained, it was observed that all the algorithms are successful in detecting faults in different teeth; also they have identification advantages according to different fault levels. In addition, the time and frequency domain analysis and continuous wavelet transform were used to determine the local faults. The developed machine learning-based detection performances compared the classical time and frequency domain analyses and continuous wavelet transform to prove the effectiveness and precision of the proposed methods. The results showed that all of the machine learning techniques have satisfactory performance to be used as fast and precise detection tools without complex calculations for detecting tool breakage.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46860910","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}
Loading rate and height–diameter ratio are important factors affecting mechanical properties of materials. In this paper, the effects of the two factors on the stress–strain curves and section deformation characteristics of titanium alloy and aluminum alloy were compared by uniaxial compression tests. The gray correlation coefficient between compressive strength and loading rate, height–diameter ratio, and high compression ratio of the two alloys was calculated by using the gray correlation theory, and multiple regression models of compressive strength of the two alloys were established based on the least squares method. The results show that ( i) the gray correlation coefficient of the two alloys is greater than 0.6, indicating that loading rate and height–diameter ratio have obvious effects on the compressive strengths of aluminum alloy; ( ii) of loading rate and height–diameter ratio, loading rate has more significant effect on compressive strength; and ( iii) the correlation coefficient of the regression model of titanium alloy compressive strength is 0.9, which is higher than that of the corresponding model of aluminum alloy (0.65), indicating that the reliability of the regression model of titanium alloy is higher than that of aluminum alloy, and the established model can better predict the uniaxial compressive strength of titanium alloy.
{"title":"Effect of loading rate and height–diameter ratio on compression characteristics of aviation alloys","authors":"Xiaofeng Ji, S. Li, Yuting Hu, Yuqing Li","doi":"10.1139/tcsme-2022-0042","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0042","url":null,"abstract":"Loading rate and height–diameter ratio are important factors affecting mechanical properties of materials. In this paper, the effects of the two factors on the stress–strain curves and section deformation characteristics of titanium alloy and aluminum alloy were compared by uniaxial compression tests. The gray correlation coefficient between compressive strength and loading rate, height–diameter ratio, and high compression ratio of the two alloys was calculated by using the gray correlation theory, and multiple regression models of compressive strength of the two alloys were established based on the least squares method. The results show that ( i) the gray correlation coefficient of the two alloys is greater than 0.6, indicating that loading rate and height–diameter ratio have obvious effects on the compressive strengths of aluminum alloy; ( ii) of loading rate and height–diameter ratio, loading rate has more significant effect on compressive strength; and ( iii) the correlation coefficient of the regression model of titanium alloy compressive strength is 0.9, which is higher than that of the corresponding model of aluminum alloy (0.65), indicating that the reliability of the regression model of titanium alloy is higher than that of aluminum alloy, and the established model can better predict the uniaxial compressive strength of titanium alloy.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43987291","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}
There is a global interest in renewable energy resources such as wind energy. INVELOX is an innovative. Some research has been performed to improve the efficiency of this machine by various geometrical modifications. Two new ideas are numerically analyzed in the present research to study their effects on the wind velocity when approaching the wind turbine, and consequently, on the wind turbine efficiency. In one of them, a relatively long flange is added to the original design, and in the other one, a pair of holes are considered in the venture to try to increase the mass flow rate of wind when reaching the turbine. Three various sizes of holes are studied here. The results reveal that using the long flange leads to an increment in the maximum wind velocity (about 15.45%) and more than 176% increase in the harvested power. In addition, the pair of holes in the venturi with a diameter of 35 cm results in a slight improvement in the harvested power. For the first time, the turbine has been modeled inside the venturi. A comparison between the results for the INVELOX, including the turbine, and that of the turbine in the free stream indicates that implementing INVELOX leads to 3.14 times more power generation.
{"title":"An Innovative Design of INVELOX Wind Turbine: A Numerical Study on the Effects of Implementing Long Flange and Venturi Holes","authors":"N. Maftouni, Yasaman Barghi","doi":"10.1139/tcsme-2022-0025","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0025","url":null,"abstract":"There is a global interest in renewable energy resources such as wind energy. INVELOX is an innovative. Some research has been performed to improve the efficiency of this machine by various geometrical modifications. Two new ideas are numerically analyzed in the present research to study their effects on the wind velocity when approaching the wind turbine, and consequently, on the wind turbine efficiency. In one of them, a relatively long flange is added to the original design, and in the other one, a pair of holes are considered in the venture to try to increase the mass flow rate of wind when reaching the turbine. Three various sizes of holes are studied here. The results reveal that using the long flange leads to an increment in the maximum wind velocity (about 15.45%) and more than 176% increase in the harvested power. In addition, the pair of holes in the venturi with a diameter of 35 cm results in a slight improvement in the harvested power. For the first time, the turbine has been modeled inside the venturi. A comparison between the results for the INVELOX, including the turbine, and that of the turbine in the free stream indicates that implementing INVELOX leads to 3.14 times more power generation.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45796371","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}
There are number of techniques available to reduce the engine vibration, and vibration isolation is one among those techniques. Such vibrations can be isolated using hybrid engine mounts that absorb the forces caused by vibration. Consequently, the present work proposes a hybrid aluminium mount filled with silica gel to isolate the engine vibration. Experiments are carried out on the VCR engine mounted on the hybrid honeycomb structure, and the free, forced vibrations, and frequency domains are analysed. The test results portrayed that the performance of the engine with a hybrid mount is found to be better than the conventional rubber mount. The hybrid sandwich panel with a honeycomb structure crowded with silica gel as fibrous material is utilized to isolate the engine vibrations. Compared to conventional mount (1.502 m/s²), high amount of vibration was reduced by honeycomb structured mount (0.814 m/s²) using different load conditions and fuel input pressure of 150 bar. Vibration in conventional mount for blower closing condition is 1.546 m/s² and honeycomb structured mount is 1.4 m/s².
{"title":"Performance analysis of Vibration Characteristics on VCR Engine using Hybrid Honeycomb Structure","authors":"C. Senthilkumar, D. Vasudevan","doi":"10.1139/tcsme-2022-0060","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0060","url":null,"abstract":"There are number of techniques available to reduce the engine vibration, and vibration isolation is one among those techniques. Such vibrations can be isolated using hybrid engine mounts that absorb the forces caused by vibration. Consequently, the present work proposes a hybrid aluminium mount filled with silica gel to isolate the engine vibration. Experiments are carried out on the VCR engine mounted on the hybrid honeycomb structure, and the free, forced vibrations, and frequency domains are analysed. The test results portrayed that the performance of the engine with a hybrid mount is found to be better than the conventional rubber mount. The hybrid sandwich panel with a honeycomb structure crowded with silica gel as fibrous material is utilized to isolate the engine vibrations. Compared to conventional mount (1.502 m/s²), high amount of vibration was reduced by honeycomb structured mount (0.814 m/s²) using different load conditions and fuel input pressure of 150 bar. Vibration in conventional mount for blower closing condition is 1.546 m/s² and honeycomb structured mount is 1.4 m/s².","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42107133","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}
Ji Miao, Shu-yan Wang, Xinping Shan, Bing-kui Chen
Previous thermal studies on planetary roller screw mechanism (PRSM) are mainly concentrated on frictional heat without the consideration of external thermal loads. However, the contact behavior of planetary roller screw mechanism varies greatly during the operation process. In this paper, a calculating method for frictional heat of planetary roller screw mechanism based on friction torque is proposed, and a transient thermal model is established to analyze the heat transfer of planetary roller screw mechanism at multiple thermal conditions. Then, an analytical method is introduced to investigate the temperature and the equations of its influences on the thermal deformation are derived. The influences of temperature distribution on the clearances and contact positions of the mating thread surfaces is studied as well. We found that the frictional heat, thermal resistance and thermal loads can significantly alter the temperature distribution consistency. The results indicate that the load-bearing capacity of planetary roller screw mechanism is greatly affected by the temperature differences between the planetary roller screw components. By allowing comprehensive thermal simulation, the proposed model can be utilized for PRSM optimization design.
{"title":"Investigation on contact behavior of planetary roller screw mechanism considering thermal deformation","authors":"Ji Miao, Shu-yan Wang, Xinping Shan, Bing-kui Chen","doi":"10.1139/tcsme-2022-0044","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0044","url":null,"abstract":"Previous thermal studies on planetary roller screw mechanism (PRSM) are mainly concentrated on frictional heat without the consideration of external thermal loads. However, the contact behavior of planetary roller screw mechanism varies greatly during the operation process. In this paper, a calculating method for frictional heat of planetary roller screw mechanism based on friction torque is proposed, and a transient thermal model is established to analyze the heat transfer of planetary roller screw mechanism at multiple thermal conditions. Then, an analytical method is introduced to investigate the temperature and the equations of its influences on the thermal deformation are derived. The influences of temperature distribution on the clearances and contact positions of the mating thread surfaces is studied as well. We found that the frictional heat, thermal resistance and thermal loads can significantly alter the temperature distribution consistency. The results indicate that the load-bearing capacity of planetary roller screw mechanism is greatly affected by the temperature differences between the planetary roller screw components. By allowing comprehensive thermal simulation, the proposed model can be utilized for PRSM optimization design.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43536069","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}
Huaichao Wu, Yongjia Dong, Gang Cao, Limei Zhao, Lv Yang
In this paper, the shifting control hydraulic system of the heavy-duty automatic transmission was designed, aiming to unify and standardize design methods. Said system is designed according to the binary logic characteristics of hydraulic components. In addition, to meet the torque transmission requirements and reduce the energy consumption, both the oil pressure supply and flow regulating system were designed. Mathematical and simulation models of the hydraulic system were established to analyze its performance. Finally, the genetic algorithm was used to optimize the system (within the AMESim environment); the results have shown that the main pressure of each gear was controlled in a reasonable range; both the pressure of shift clutch and the pressure response time was reduced. In addition, the power loss of the hydraulic system was significantly improved, which improve the practical performance of the overall hydraulic system.
{"title":"Logic design method and optimization of hydraulic system for heavy-duty automatic transmission","authors":"Huaichao Wu, Yongjia Dong, Gang Cao, Limei Zhao, Lv Yang","doi":"10.1139/tcsme-2021-0042","DOIUrl":"https://doi.org/10.1139/tcsme-2021-0042","url":null,"abstract":"In this paper, the shifting control hydraulic system of the heavy-duty automatic transmission was designed, aiming to unify and standardize design methods. Said system is designed according to the binary logic characteristics of hydraulic components. In addition, to meet the torque transmission requirements and reduce the energy consumption, both the oil pressure supply and flow regulating system were designed. Mathematical and simulation models of the hydraulic system were established to analyze its performance. Finally, the genetic algorithm was used to optimize the system (within the AMESim environment); the results have shown that the main pressure of each gear was controlled in a reasonable range; both the pressure of shift clutch and the pressure response time was reduced. In addition, the power loss of the hydraulic system was significantly improved, which improve the practical performance of the overall hydraulic system.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48017633","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}
Numerical simulation of high pressure ratio transonic centrifugal compressors is challenging for the existing turbulence models. A lagged k–ω model proposed by Olsen and Coakley for nonequilibrium effects was first applied to simulate the transonic centrifugal impeller SRV2-O. As comparative case studies, four other turbulence models ( k–ω model, RNG k–ε model, SST-CC model, and EARSM model) were also computed. The comparison showed that ( i) the selection of the turbulence model had a great influence on SRV2-O impeller simulations; ( ii) the lagged k–ω model had an advantage over other models in terms of overall pressure ratio and internal flow characteristics; and ( iii) the lagged model predicted a smaller blockage area caused by leakage vortex breakdown than other models, closer to the experimental result. The detailed parameter examination indicated that the nonequilibrium parameter a0 in the lagged model had little influence on the Mach number distribution and choking mass flow rate but a significant influence on the static pressure on the shroud casing. For a higher Mach number compressor, a smaller a0 is recommended for bettering the simulation accuracy.
{"title":"Assessment of a novel k–ω turbulence model for transonic centrifugal impeller simulations","authors":"Zhiyuan Liu, Peng Wang, Ben Zhao, Ce Yang","doi":"10.1139/tcsme-2021-0159","DOIUrl":"https://doi.org/10.1139/tcsme-2021-0159","url":null,"abstract":"Numerical simulation of high pressure ratio transonic centrifugal compressors is challenging for the existing turbulence models. A lagged k–ω model proposed by Olsen and Coakley for nonequilibrium effects was first applied to simulate the transonic centrifugal impeller SRV2-O. As comparative case studies, four other turbulence models ( k–ω model, RNG k–ε model, SST-CC model, and EARSM model) were also computed. The comparison showed that ( i) the selection of the turbulence model had a great influence on SRV2-O impeller simulations; ( ii) the lagged k–ω model had an advantage over other models in terms of overall pressure ratio and internal flow characteristics; and ( iii) the lagged model predicted a smaller blockage area caused by leakage vortex breakdown than other models, closer to the experimental result. The detailed parameter examination indicated that the nonequilibrium parameter a0 in the lagged model had little influence on the Mach number distribution and choking mass flow rate but a significant influence on the static pressure on the shroud casing. For a higher Mach number compressor, a smaller a0 is recommended for bettering the simulation accuracy.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41354705","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}
Songyuan Li, S. Li, Yuqing Li, Petrov Anton Vladimirovich
Cutting heat and cutting vibration are important basic research topics in the field of machining. Many factors affect cutting heat and cutting vibration, and cutting heat and cutting vibration also affect each other. This paper mainly studied the coupling characteristics between cutting vibration and cutting heat from the perspective of energy power density. A measurement system was built to collect the time-domain signals of cutting temperature and three-dimensional cutting vibration. Through Stefan–Boltzmann's law, the cutting thermal power density represented by the cutting temperature was obtained. Frequency domain analysis dealing with the self-power spectrum density was carried out on the three-dimensional vibration acceleration, and the operation of reducing the vibration dimension was carried out by principal component analysis. Based on the particle swarm optimization algorithm, two coupling models between cutting heat and cutting vibration were established. The research showed that the coupling correlation coefficient between cutting heat and cutting vibration was above 0.6. The coupling characteristics of cutting heat and cutting vibration were strong, and the impact of cutting vibration on cutting heat was more significant. The conclusions provide theoretical guidance for studying the coupling characteristics of cutting heat and cutting vibration from the energy perspective.
{"title":"Research on the coupling characteristics of energy power density of cutting vibration and cutting heat based on the particle swarm optimization algorithm","authors":"Songyuan Li, S. Li, Yuqing Li, Petrov Anton Vladimirovich","doi":"10.1139/tcsme-2022-0022","DOIUrl":"https://doi.org/10.1139/tcsme-2022-0022","url":null,"abstract":"Cutting heat and cutting vibration are important basic research topics in the field of machining. Many factors affect cutting heat and cutting vibration, and cutting heat and cutting vibration also affect each other. This paper mainly studied the coupling characteristics between cutting vibration and cutting heat from the perspective of energy power density. A measurement system was built to collect the time-domain signals of cutting temperature and three-dimensional cutting vibration. Through Stefan–Boltzmann's law, the cutting thermal power density represented by the cutting temperature was obtained. Frequency domain analysis dealing with the self-power spectrum density was carried out on the three-dimensional vibration acceleration, and the operation of reducing the vibration dimension was carried out by principal component analysis. Based on the particle swarm optimization algorithm, two coupling models between cutting heat and cutting vibration were established. The research showed that the coupling correlation coefficient between cutting heat and cutting vibration was above 0.6. The coupling characteristics of cutting heat and cutting vibration were strong, and the impact of cutting vibration on cutting heat was more significant. The conclusions provide theoretical guidance for studying the coupling characteristics of cutting heat and cutting vibration from the energy perspective.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49228460","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}
Huaichao Wu, Zhao Peng, Junqi Mu, Limei Zhao, Lv Yang
One of the main factors determining the stability of lock valve during opening is the flow force on spool. The size of the flow force profoundly affects the dynamic characteristics of the spool. In this paper, the flow force on a heavy-duty automatic transmission lock valve during the opening process is analyzed and optimized, and aiming to improve the opening smoothness of the lock valve. First, numerical simulation of the opening process of the main oil chamber flow path in the lock valve is carried out using dynamic mesh technology. The influence of internal flow field on the flow force under different parameters is studied. Second, the structural parameters and peaks of flow force obtained from the random sampling method are used as samples for training and prediction using the BP neural network. The prediction results pass the accuracy test. Last, the prediction results of the BP neural network are optimized using the genetic algorithm. Subsequent results show that this optimization method significantly reduces the flow force of spool and improves stability of the lock valve during opening by only changing the structural parameters. It also provides a new systematic direction for the optimization of other nonlinear mapping relationships.
{"title":"Flow force analysis and optimization of lock valve for heavy-duty automatic transmission","authors":"Huaichao Wu, Zhao Peng, Junqi Mu, Limei Zhao, Lv Yang","doi":"10.1139/tcsme-2021-0143","DOIUrl":"https://doi.org/10.1139/tcsme-2021-0143","url":null,"abstract":"One of the main factors determining the stability of lock valve during opening is the flow force on spool. The size of the flow force profoundly affects the dynamic characteristics of the spool. In this paper, the flow force on a heavy-duty automatic transmission lock valve during the opening process is analyzed and optimized, and aiming to improve the opening smoothness of the lock valve. First, numerical simulation of the opening process of the main oil chamber flow path in the lock valve is carried out using dynamic mesh technology. The influence of internal flow field on the flow force under different parameters is studied. Second, the structural parameters and peaks of flow force obtained from the random sampling method are used as samples for training and prediction using the BP neural network. The prediction results pass the accuracy test. Last, the prediction results of the BP neural network are optimized using the genetic algorithm. Subsequent results show that this optimization method significantly reduces the flow force of spool and improves stability of the lock valve during opening by only changing the structural parameters. It also provides a new systematic direction for the optimization of other nonlinear mapping relationships.","PeriodicalId":23285,"journal":{"name":"Transactions of The Canadian Society for Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42617682","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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