In view of the current situation of gradual degradation of grassland, this paper designs a water jet grassland root cutting machine based on root cutting improvement technology. The machine achieves the purpose of restoring grassland by the impact of high-pressure fluid on soil. In order to improve the working efficiency, an adaptive position adjustment device (following is referred to as APA device) is designed, which can ensure the adaptability of the fluidic sprinkler to the ground. In this regard, the overall structure and working principle of the water jet grassland root cutting machine are first analyzed. Furthermore, the dynamic model of the APA device is established based on the Lagrange equation, and the motion process of the device is simulated by MATLAB/SimMechanics. The results show that the APA device has good working efficiency in the smooth ground, and there is a significant vibration response in the protuberant ground. In order to reduce the vibration interference, the structure of the APA device is optimized based on the simulation results. The optimized simulation results show that the vibration response generated during the operation of the APA device is reduced, the vibration interference is reduced, and the optimization effect is significant.
针对草原逐渐退化的现状，本文在切根改良技术的基础上设计了一种水射流草原切根机。该机器通过高压流体对土壤的冲击达到恢复草原的目的。为提高工作效率，设计了自适应位置调节装置（以下简称 APA 装置），可确保流体喷灌机对地面的适应性。为此，首先分析了喷水式草原切根机的整体结构和工作原理。此外，基于拉格朗日方程建立了 APA 设备的动态模型，并利用 MATLAB/SimMechanics 对设备的运动过程进行了仿真。结果表明，APA 设备在光滑地面上具有良好的工作效率，而在突起地面上则存在明显的振动响应。为了减少振动干扰，根据仿真结果对 APA 装置的结构进行了优化。优化后的仿真结果表明，APA 装置运行时产生的振动响应减小，振动干扰降低，优化效果显著。
{"title":"Design and simulation optimization of key device of water jet grassland root cutting machine","authors":"Jianguo Qin, Bo Yang, Haitang Cen, Haixia Gong, Hongyan Yang, Yunhe Zou, Sijia Guo","doi":"10.1177/16878132241265860","DOIUrl":"https://doi.org/10.1177/16878132241265860","url":null,"abstract":"In view of the current situation of gradual degradation of grassland, this paper designs a water jet grassland root cutting machine based on root cutting improvement technology. The machine achieves the purpose of restoring grassland by the impact of high-pressure fluid on soil. In order to improve the working efficiency, an adaptive position adjustment device (following is referred to as APA device) is designed, which can ensure the adaptability of the fluidic sprinkler to the ground. In this regard, the overall structure and working principle of the water jet grassland root cutting machine are first analyzed. Furthermore, the dynamic model of the APA device is established based on the Lagrange equation, and the motion process of the device is simulated by MATLAB/SimMechanics. The results show that the APA device has good working efficiency in the smooth ground, and there is a significant vibration response in the protuberant ground. In order to reduce the vibration interference, the structure of the APA device is optimized based on the simulation results. The optimized simulation results show that the vibration response generated during the operation of the APA device is reduced, the vibration interference is reduced, and the optimization effect is significant.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932641","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}
Pub Date : 2024-08-08DOI: 10.1177/16878132241269229
Burcu Çiçek
In this study, a numerical method was used to investigate the melting process of PCM-Heat Sink and PCM-Hybrid Heat sinks for electronic cooling. Firstly, three different PCMs, designated as RT-28HC, RT-31, and RT-54HC, with varying thermophysical properties, were used within aluminum finned heat sink and three-dimensional time-dependent analyses was conducted using the ANSYS Fluent software, at heat fluxes of 3.6, 4.2, and 4.8 kW/m2. To calculate the enhancement ratio in the PCM-Heat Sink, setpoint temperatures of 45°C and 60°C were selected. The results revealed that RT-54HC is the best option among them, since it produced the lowest heat sink base temperature at the end of 120 min simulation period. At last, two hybrid heat sink models, designated as HPCM1 and HPCM2 were designed and their cooling performances were analyzed at heat transfer coefficients of 5, 10, and 15 W/m K. The RT-54HC was used as the PCM for hybrid heat sinks at a heat flux of 4.8 kW/m2. It was observed that HPCM1, with heat conductivity coefficients of 10 and 15 W/m2 K were more effective than PCM-HS models for cooling. In conclusion, this study provides useful guidelines for designing heat sinks and selecting PCM types for electronic cooling.
{"title":"Numerical investigation on thermal behaviors of Heat Sinks and Hybrid Heat Sinks with different PCMs for electronic cooling","authors":"Burcu Çiçek","doi":"10.1177/16878132241269229","DOIUrl":"https://doi.org/10.1177/16878132241269229","url":null,"abstract":"In this study, a numerical method was used to investigate the melting process of PCM-Heat Sink and PCM-Hybrid Heat sinks for electronic cooling. Firstly, three different PCMs, designated as RT-28HC, RT-31, and RT-54HC, with varying thermophysical properties, were used within aluminum finned heat sink and three-dimensional time-dependent analyses was conducted using the ANSYS Fluent software, at heat fluxes of 3.6, 4.2, and 4.8 kW/m<jats:sup>2</jats:sup>. To calculate the enhancement ratio in the PCM-Heat Sink, setpoint temperatures of 45°C and 60°C were selected. The results revealed that RT-54HC is the best option among them, since it produced the lowest heat sink base temperature at the end of 120 min simulation period. At last, two hybrid heat sink models, designated as HPCM1 and HPCM2 were designed and their cooling performances were analyzed at heat transfer coefficients of 5, 10, and 15 W/m K. The RT-54HC was used as the PCM for hybrid heat sinks at a heat flux of 4.8 kW/m<jats:sup>2</jats:sup>. It was observed that HPCM1, with heat conductivity coefficients of 10 and 15 W/m<jats:sup>2</jats:sup> K were more effective than PCM-HS models for cooling. In conclusion, this study provides useful guidelines for designing heat sinks and selecting PCM types for electronic cooling.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932642","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}
Based on production practice, it is known that the mixing scraper is an important mechanical part that the planetary mixer directly contacts with the concrete. Its structural shape will directly affect the mixing effect of the mixer, and the inclination angle of the mixing scraper is one of the most important factors affecting the mixing efficiency of the mixer. In this paper, based on the discrete element numerical analysis method, a three-dimensional simulation model of the vertical axis planetary concrete mixer is established, and the concrete mixing process is simulated, and the inclination angle of the mixing scraper is optimized based on the simulation results. An automatic precast concrete mixing experiment platform was built, and the simulation results were verified experimentally. The research results show that the experimental data and the simulation results are very consistent, which verifies the accuracy of the discrete element dynamics simulation model. It can be seen from the simulation and experimental results that the mixing efficiency of the mixer is the highest when the inclination angle of the mixing blade is 45°, and the number of collisions between different types of material particles in the mixing tank is the highest.
{"title":"Optimum analysis of inclined angle of mixing blades in planetary mixer based on discrete element method","authors":"Wenmin Lu, Shumei Chen, Jinan Zheng, Xinyuan Fu, Guohua Fu, Jia Zhong, Qingyang Li, Zhuangbin Zhen","doi":"10.1177/16878132241269238","DOIUrl":"https://doi.org/10.1177/16878132241269238","url":null,"abstract":"Based on production practice, it is known that the mixing scraper is an important mechanical part that the planetary mixer directly contacts with the concrete. Its structural shape will directly affect the mixing effect of the mixer, and the inclination angle of the mixing scraper is one of the most important factors affecting the mixing efficiency of the mixer. In this paper, based on the discrete element numerical analysis method, a three-dimensional simulation model of the vertical axis planetary concrete mixer is established, and the concrete mixing process is simulated, and the inclination angle of the mixing scraper is optimized based on the simulation results. An automatic precast concrete mixing experiment platform was built, and the simulation results were verified experimentally. The research results show that the experimental data and the simulation results are very consistent, which verifies the accuracy of the discrete element dynamics simulation model. It can be seen from the simulation and experimental results that the mixing efficiency of the mixer is the highest when the inclination angle of the mixing blade is 45°, and the number of collisions between different types of material particles in the mixing tank is the highest.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932523","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}
Pub Date : 2024-08-06DOI: 10.1177/16878132241266456
Jian-Zhou Pan, Chi-Hsin Yang, Long Wu, Xiao Huang, Sijie Qiu
This study introduces an improved lightweight section-steel surface detection (ILSSD) YOLOX-s algorithm model to enhance feature fusion performance in single-stage target detection networks, addressing the low accuracy in detecting defects on section-steel surfaces and limited computing resources at steel plants. The ILSSD YOLOX-s model is improved by introducing the deep-wise separable convolution (DSC) module to reduce parameter count, a dual parallel attention module for improved feature extraction efficiency, and a weighted feature fusion path using bi-directional feature pyramid network (BiFPN). Additionally, the CIoU loss function is employed for boundary frame regression to enhance prediction accuracy. Based on the NEU-DET dataset, experimental results demonstrate that the ILSSD YOLOX-s algorithm model achieves a 75.9% mean average precision with an IoU threshold of 0.5 (mAP@0.5), an improvement of 7.1 percentage points over the original YOLOX-s model, with a detection speed of 78.4 frames per second (FPS). Its practicality is validated through training and validating it with a lightweight section-steel surface defect dataset from an industrial steel plant, further confirming its viability for industrial defect detection applications.
{"title":"One improved YOLOX-s algorithm for lightweight section-steel surface defect detection","authors":"Jian-Zhou Pan, Chi-Hsin Yang, Long Wu, Xiao Huang, Sijie Qiu","doi":"10.1177/16878132241266456","DOIUrl":"https://doi.org/10.1177/16878132241266456","url":null,"abstract":"This study introduces an improved lightweight section-steel surface detection (ILSSD) YOLOX-s algorithm model to enhance feature fusion performance in single-stage target detection networks, addressing the low accuracy in detecting defects on section-steel surfaces and limited computing resources at steel plants. The ILSSD YOLOX-s model is improved by introducing the deep-wise separable convolution (DSC) module to reduce parameter count, a dual parallel attention module for improved feature extraction efficiency, and a weighted feature fusion path using bi-directional feature pyramid network (BiFPN). Additionally, the CIoU loss function is employed for boundary frame regression to enhance prediction accuracy. Based on the NEU-DET dataset, experimental results demonstrate that the ILSSD YOLOX-s algorithm model achieves a 75.9% mean average precision with an IoU threshold of 0.5 (mAP@0.5), an improvement of 7.1 percentage points over the original YOLOX-s model, with a detection speed of 78.4 frames per second (FPS). Its practicality is validated through training and validating it with a lightweight section-steel surface defect dataset from an industrial steel plant, further confirming its viability for industrial defect detection applications.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932639","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}
Pub Date : 2024-08-06DOI: 10.1177/16878132241269243
Yu Shi, Dan Zhang, Yan Zheng, Lanchun Zhang, Tianbo Wang, Jun Yang
Four optimization models were proposed to reduce the impact of pollutants from vans on themselves and surrounding vehicles. The adsorption of pollutants on the body of the van in rainy conditions and the diffusion of pollutants into the external environment were numerically investigated using the Discrete Phase Model (DPM) for vans having different wheel brow structures. The pressure distribution on the surface of the van, the surrounding flow field, and the raindrop distributions of various external positions on and around the van were analyzed and compared. The results indicated that the van with externally covered wheel brow model was most effective in inhibiting the diffusion of rainwater pollutants from the van under rainy conditions. Compared with the original model, the reduction in the polluted area was 11.19%, the reduction in the influence of the visual field on the rear vehicle was 25.4%, and the reduction in the diffusion of pollutants on the bodies of the side vehicle was 20.7%.
{"title":"Optimization of wheel brow structures of a van considering rainwater pollutants based on discrete phase model","authors":"Yu Shi, Dan Zhang, Yan Zheng, Lanchun Zhang, Tianbo Wang, Jun Yang","doi":"10.1177/16878132241269243","DOIUrl":"https://doi.org/10.1177/16878132241269243","url":null,"abstract":"Four optimization models were proposed to reduce the impact of pollutants from vans on themselves and surrounding vehicles. The adsorption of pollutants on the body of the van in rainy conditions and the diffusion of pollutants into the external environment were numerically investigated using the Discrete Phase Model (DPM) for vans having different wheel brow structures. The pressure distribution on the surface of the van, the surrounding flow field, and the raindrop distributions of various external positions on and around the van were analyzed and compared. The results indicated that the van with externally covered wheel brow model was most effective in inhibiting the diffusion of rainwater pollutants from the van under rainy conditions. Compared with the original model, the reduction in the polluted area was 11.19%, the reduction in the influence of the visual field on the rear vehicle was 25.4%, and the reduction in the diffusion of pollutants on the bodies of the side vehicle was 20.7%.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932522","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}
To improve the load-bearing capacity and the rotation range about the normal of the moving platform in a spherical parallel mechanism (SPM), a type synthesis method for spherical hybrid mechanisms (SHMs) with fixed centers of rotation is proposed by coupling a serial transmission chain with the central passive limb chain of the SPM near its center area. Based on the analysis of the spherical mechanism configuration’s research status with a fixed rotation center, a method for systematically synthesizing SHMs is given, and four types of limb chains are developed. The possible limb constraint systems provided by each type of limb chain are analyzed via screw theory, and the type synthesis of each type of limb chain is carried out. Screening rules are proposed to obtain the preferred limb chains from the limb chain configuration results. By selecting and permuting preferred limb chains based on the mechanism’s center position of rotation and the constraint type, a series of SHMs that rotate unrestricted about the normal of the moving platform are produced. Selecting the RBR-2RRR SHM as an example, its workspace, singularity, dexterity, and stiffness are analyzed to verify the effectiveness of the research. This work enriches the configuration types of SHMs and provides theoretical support for the design and applications of SHMs in engineering.
{"title":"Type synthesis of 3-DOF spherical hybrid mechanisms with fixed centers of rotation","authors":"Shuyang Shi, Kai Li, Zheng Ma, Huiqiang Wang, Xuesong Qiu, Yulin Zhou","doi":"10.1177/16878132241258634","DOIUrl":"https://doi.org/10.1177/16878132241258634","url":null,"abstract":"To improve the load-bearing capacity and the rotation range about the normal of the moving platform in a spherical parallel mechanism (SPM), a type synthesis method for spherical hybrid mechanisms (SHMs) with fixed centers of rotation is proposed by coupling a serial transmission chain with the central passive limb chain of the SPM near its center area. Based on the analysis of the spherical mechanism configuration’s research status with a fixed rotation center, a method for systematically synthesizing SHMs is given, and four types of limb chains are developed. The possible limb constraint systems provided by each type of limb chain are analyzed via screw theory, and the type synthesis of each type of limb chain is carried out. Screening rules are proposed to obtain the preferred limb chains from the limb chain configuration results. By selecting and permuting preferred limb chains based on the mechanism’s center position of rotation and the constraint type, a series of SHMs that rotate unrestricted about the normal of the moving platform are produced. Selecting the RBR-2RRR SHM as an example, its workspace, singularity, dexterity, and stiffness are analyzed to verify the effectiveness of the research. This work enriches the configuration types of SHMs and provides theoretical support for the design and applications of SHMs in engineering.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932640","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}
Pub Date : 2024-07-31DOI: 10.1177/16878132241266757
Dong Ma, Zhihao Liu, Qinhe Gao, Lei Gao
By analyzing the deficiencies of existing hydraulic erecting systems (HESs) control methods, this study proposes a linear time-varying model predictive control (LTV-MPC) method based on the linear extended state observer (LESO) for HESs. First, the working mechanism of HESs is methodically analyzed and the corresponding state space equations are established. Second, the LESO system is designed to estimate the current unknown real-time states. Then, the LTV-MPC is employed to evaluate and output the optimal solution of the servo voltage signal. Finally, through simulation and experiment, the effectiveness of the proposed method is confirmed and discussed. The results show that the displacement error rate of the proposed method is still lower than 0.223% under larger external disturbances, which can effectively improve the control accuracy and stability of the system compared with other methods.
{"title":"Predictive control of linear time-varying model for hydraulic erecting systems based on linear expanded state observer","authors":"Dong Ma, Zhihao Liu, Qinhe Gao, Lei Gao","doi":"10.1177/16878132241266757","DOIUrl":"https://doi.org/10.1177/16878132241266757","url":null,"abstract":"By analyzing the deficiencies of existing hydraulic erecting systems (HESs) control methods, this study proposes a linear time-varying model predictive control (LTV-MPC) method based on the linear extended state observer (LESO) for HESs. First, the working mechanism of HESs is methodically analyzed and the corresponding state space equations are established. Second, the LESO system is designed to estimate the current unknown real-time states. Then, the LTV-MPC is employed to evaluate and output the optimal solution of the servo voltage signal. Finally, through simulation and experiment, the effectiveness of the proposed method is confirmed and discussed. The results show that the displacement error rate of the proposed method is still lower than 0.223% under larger external disturbances, which can effectively improve the control accuracy and stability of the system compared with other methods.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141871018","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}
Many machine learning (ML) algorithms have been developed over the past two decades for prognostics and health management (PHM) of complex engineering systems. However, most of the existing algorithms tend to produce point estimates of a variable of interest, for example the equipment’s remaining useful life (RUL). The point estimation of the RUL often neglects the uncertainty inherent in model parameters and/or the uncertainty associated with data inputs. Bayesian Neural Networks (BNNs) have shown a lot of promise in obtaining credible intervals for model parameters, thus accounting for the uncertainties inherent in both the model and data. This paper proposes a deep BNN model with the Monte Carlo (MC) dropout method to predict the RUL of engineering systems equipped with sensors and monitoring instruments. The model is tested on NASA’s Turbofan Engine Degradation Simulation Dataset and the results are discussed and analyzed. It is revealed that the method can produce highly accurate predictions for RUL distribution parameters in safety critical components.
过去二十年来，针对复杂工程系统的预报和健康管理（PHM）开发了许多机器学习（ML）算法。然而，大多数现有算法都倾向于对相关变量（例如设备的剩余使用寿命 (RUL)）进行点估算。RUL 的点估计往往会忽略模型参数固有的不确定性和/或与数据输入相关的不确定性。贝叶斯神经网络（BNN）在获得模型参数可信区间方面显示出了巨大的潜力，从而考虑到了模型和数据中固有的不确定性。本文提出了一种深度 BNN 模型，该模型采用蒙特卡罗（MC）剔除法，用于预测配备传感器和监测仪器的工程系统的 RUL。该模型在 NASA 的涡扇发动机退化模拟数据集上进行了测试，并对结果进行了讨论和分析。结果表明，该方法可对安全关键部件的 RUL 分布参数进行高精度预测。
{"title":"Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring","authors":"Sunday Ochella, Fateme Dinmohammadi, Mahmood Shafiee","doi":"10.1177/16878132241239802","DOIUrl":"https://doi.org/10.1177/16878132241239802","url":null,"abstract":"Many machine learning (ML) algorithms have been developed over the past two decades for prognostics and health management (PHM) of complex engineering systems. However, most of the existing algorithms tend to produce point estimates of a variable of interest, for example the equipment’s remaining useful life (RUL). The point estimation of the RUL often neglects the uncertainty inherent in model parameters and/or the uncertainty associated with data inputs. Bayesian Neural Networks (BNNs) have shown a lot of promise in obtaining credible intervals for model parameters, thus accounting for the uncertainties inherent in both the model and data. This paper proposes a deep BNN model with the Monte Carlo (MC) dropout method to predict the RUL of engineering systems equipped with sensors and monitoring instruments. The model is tested on NASA’s Turbofan Engine Degradation Simulation Dataset and the results are discussed and analyzed. It is revealed that the method can produce highly accurate predictions for RUL distribution parameters in safety critical components.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The vehicle acceleration process is often accompanied by torsional vibration of the powertrain system. Poor torsional vibration performance significantly influences the driving comfort of the vehicle and the reliability of powertrain components. Compared to passenger cars, commercial vehicles, especially the heavy-duty truck, exhibit more complicated vibration behaviors during acceleration due to the multiple power branches, various gears, and different working conditions. This article presents systematic research on the modeling method, vibration characteristics, mechanism, and influence factors of the torsional resonance of the heavy-duty vehicle during acceleration. A 16-DOF powertrain model considering multiple nonlinearities of the system is proposed and experimentally validated reliable. Numerical and experimental studies are carried out to investigate the vibration characteristics and mechanism of the heavy-duty vehicle powertrain, and the modal energies and parameter influences are also discussed. Besides, an optimization example is presented to analyze the potential vibration attenuation performance of optimizing the clutch parameters. The results indicate that the overall powertrain mode of the heavy-duty vehicle tends to be aroused by the engine firing frequency during accelerating, inducing violent speed fluctuations of the powertrain components between the clutch and half-shafts. The clutch parameters have significant impacts on the powertrain resonance, and the vibration amplitude of the powertrain system can be effectively attenuated to acceptable levels by optimally designing the clutch parameters.
{"title":"Nonlinear modeling and torsional vibration analysis of heavy-duty vehicle powertrain system during acceleration","authors":"Junlong Qu, Wenku Shi, Zhiyong Chen, Renfei Yuan, Jian Liu, Yanyan Zhao, Niancheng Guo","doi":"10.1177/16878132241263936","DOIUrl":"https://doi.org/10.1177/16878132241263936","url":null,"abstract":"The vehicle acceleration process is often accompanied by torsional vibration of the powertrain system. Poor torsional vibration performance significantly influences the driving comfort of the vehicle and the reliability of powertrain components. Compared to passenger cars, commercial vehicles, especially the heavy-duty truck, exhibit more complicated vibration behaviors during acceleration due to the multiple power branches, various gears, and different working conditions. This article presents systematic research on the modeling method, vibration characteristics, mechanism, and influence factors of the torsional resonance of the heavy-duty vehicle during acceleration. A 16-DOF powertrain model considering multiple nonlinearities of the system is proposed and experimentally validated reliable. Numerical and experimental studies are carried out to investigate the vibration characteristics and mechanism of the heavy-duty vehicle powertrain, and the modal energies and parameter influences are also discussed. Besides, an optimization example is presented to analyze the potential vibration attenuation performance of optimizing the clutch parameters. The results indicate that the overall powertrain mode of the heavy-duty vehicle tends to be aroused by the engine firing frequency during accelerating, inducing violent speed fluctuations of the powertrain components between the clutch and half-shafts. The clutch parameters have significant impacts on the powertrain resonance, and the vibration amplitude of the powertrain system can be effectively attenuated to acceptable levels by optimally designing the clutch parameters.","PeriodicalId":7357,"journal":{"name":"Advances in Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780741","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}
Pub Date : 2024-07-26DOI: 10.1177/16878132241266457
Lixiong Gu, Jieming Hong, Niujing Ma
This article examines residual stress generation in U-ribbed steel bridge deck during welding, focusing on post-welding changes in the base material’s residual stress pattern. A thermo-elasto-plastic finite element analysis model was established to conduct numerical simulations of the welding process, summarizing the residual stress changes near the weld seam, the conclusion was drawn that the tensile and compressive forms of transverse residual stress on the upper and lower surfaces of the base plate were inconsistent. To validate the proposed numerical simulation method’s accuracy, the blind hole method was employed to measure welding-induced residual stress, and finite element analysis calculated calibration coefficients A and B, demonstrating the method’s effectiveness. Comparison of experimental measurements with numerical simulation outcomes validate the finite element simulation method’s accuracy and the adopted methodology’s feasibility. Based on these findings, a piecewise linear fitting approach was adopted to develop a simplified model of welding residual stress. The simplified model provides the initial conditions of residual stress for mechanical calculation of U-rib of the same type.
本文研究了 U 型肋钢桥面在焊接过程中产生的残余应力，重点关注焊接后母材残余应力形态的变化。文章建立了热-弹塑性有限元分析模型，对焊接过程进行了数值模拟，总结了焊缝附近的残余应力变化，得出了底板上下表面横向残余应力的拉伸和压缩形式不一致的结论。为了验证所提出的数值模拟方法的准确性，采用了盲孔法测量焊接引起的残余应力，并通过有限元分析计算出了校准系数 A 和 B，证明了该方法的有效性。实验测量结果与数值模拟结果的比较验证了有限元模拟方法的准确性和所采用方法的可行性。在此基础上，采用分片线性拟合方法建立了焊接残余应力简化模型。简化模型为同类 U 形肋的机械计算提供了残余应力的初始条件。
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