Pub Date : 2022-09-22DOI: 10.13052/ijfp1439-9776.2338
Henrique Raduenz, Liselott Ericson, K. Uebel, Kim Heybroek, P. Krus, V. Negri
This paper presents a method to derive optimised energy management strategies for a hydraulic hybrid wheel loader. Energy efficiency is a key aspect for the sustainability of off-road mobile machines. Energy management strategies for on-road hybrid vehicles cannot be directly applied to off-road hybrid machines. One significant reason is that there are added degrees of freedom with respect to how power can be recovered, exchanged and reused in the different functions, such as drivetrain or work functions. This results in more complex energy management strategies being derived. This paper presents an analysis and preliminary conclusions for a proposed method to derive optimised online energy management strategies for a hydraulic hybrid wheel loader. Dynamic programming is used to obtain optimal offline energy management strategies for a series of drive cycles. The results are used as examples to train a neural network. The trained neural network then implements the energy management strategy and is used to make optimised control decisions. Through simulation, the neural network’s ability to learn the dynamic programming decision-making process is shown, resulting in the machine operating with fuel consumption similar to that of the offline optimal energy management strategy. Aspects of simplicity to model these machines for dynamic programming optimisation, the data necessary to train the network, the training process, variables used to learn the dynamic programming decision-making process and the robustness of the network when facing unseen operational conditions are discussed. The paper demonstrates the simplicity of the method for taking into account variables that affect the control decisions, therefore achieving optimised solutions.
{"title":"Energy Management Based on Neural Networks for a Hydraulic Hybrid Wheel Loader","authors":"Henrique Raduenz, Liselott Ericson, K. Uebel, Kim Heybroek, P. Krus, V. Negri","doi":"10.13052/ijfp1439-9776.2338","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2338","url":null,"abstract":"This paper presents a method to derive optimised energy management strategies for a hydraulic hybrid wheel loader. Energy efficiency is a key aspect for the sustainability of off-road mobile machines. Energy management strategies for on-road hybrid vehicles cannot be directly applied to off-road hybrid machines. One significant reason is that there are added degrees of freedom with respect to how power can be recovered, exchanged and reused in the different functions, such as drivetrain or work functions. This results in more complex energy management strategies being derived. This paper presents an analysis and preliminary conclusions for a proposed method to derive optimised online energy management strategies for a hydraulic hybrid wheel loader. Dynamic programming is used to obtain optimal offline energy management strategies for a series of drive cycles. The results are used as examples to train a neural network. The trained neural network then implements the energy management strategy and is used to make optimised control decisions. Through simulation, the neural network’s ability to learn the dynamic programming decision-making process is shown, resulting in the machine operating with fuel consumption similar to that of the offline optimal energy management strategy. Aspects of simplicity to model these machines for dynamic programming optimisation, the data necessary to train the network, the training process, variables used to learn the dynamic programming decision-making process and the robustness of the network when facing unseen operational conditions are discussed. The paper demonstrates the simplicity of the method for taking into account variables that affect the control decisions, therefore achieving optimised solutions.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48648652","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}
Pub Date : 2022-09-12DOI: 10.13052/ijfp1439-9776.2334
S. Sarode, L. Shang, A. Vacca
Manufacturing errors are inevitable in hydraulic machines. The manufactured geometry of solid parts directly governs the performance of these machines. This paper reports an extensive simulation study for manufactured inaccuracies on the performance of the piston/cylinder interface of an axial piston machine using the state-of-the-art simulation tool. The performance of swashplate type axial piston machines is characterized mainly by the three lubricating interfaces including the cylinder block/valve plate, slipper/swashplate and piston/cylinder interface. Among the three lubricating interfaces, the piston/cylinder interface is more sensitive to manufacturing inaccuracies such as roundness and conicity of the solid parts as well as the precision and accuracy of the manufactured nominal diameters of the solid parts. This is because the manufactured geometry of the cylinder bore, and the piston directly affects the height and the shape of the lubricating gap of the piston/cylinder interface. Therefore, the manufacturing form deviations of the solid parts directly affects the viscous friction, leakage flow, wear process and lifetime of such lubricating interfaces. The fully coupled fluid structure thermal interaction model can predict the energy dissipation, viscous friction, leakage flow and the gap height considering the geometry of the solid parts.
{"title":"Numerical Investigation of the Influence of Part Geometric Tolerances on Piston/Cylinder Interface Performance","authors":"S. Sarode, L. Shang, A. Vacca","doi":"10.13052/ijfp1439-9776.2334","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2334","url":null,"abstract":"Manufacturing errors are inevitable in hydraulic machines. The manufactured geometry of solid parts directly governs the performance of these machines. This paper reports an extensive simulation study for manufactured inaccuracies on the performance of the piston/cylinder interface of an axial piston machine using the state-of-the-art simulation tool. The performance of swashplate type axial piston machines is characterized mainly by the three lubricating interfaces including the cylinder block/valve plate, slipper/swashplate and piston/cylinder interface. Among the three lubricating interfaces, the piston/cylinder interface is more sensitive to manufacturing inaccuracies such as roundness and conicity of the solid parts as well as the precision and accuracy of the manufactured nominal diameters of the solid parts. This is because the manufactured geometry of the cylinder bore, and the piston directly affects the height and the shape of the lubricating gap of the piston/cylinder interface. Therefore, the manufacturing form deviations of the solid parts directly affects the viscous friction, leakage flow, wear process and lifetime of such lubricating interfaces. The fully coupled fluid structure thermal interaction model can predict the energy dissipation, viscous friction, leakage flow and the gap height considering the geometry of the solid parts.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43890116","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}
Pub Date : 2022-09-12DOI: 10.13052/ijfp1439-9776.2336
Xudong Han, T. Minav, Mingkang Wang, Y. Fu, M. Pietola
Electro-hydrostatic actuators (EHAs) are emerging transmission techniques originated from aerospace industry and being introduced to various application fields, such as ships, robots, construction machines, and machine tools. Despite the advantages of high efficiency, easy maintenance, electrified power, etc., EHAs are usually self-contained integrated devices, resulting in low heat dissipation ability. Therefore, thermal coupling models are necessary for the evaluation of each design option during the EHA development. In this paper, a thermal coupling model was established for EHA thermal characteristic analysis during the detail design stage. The disciplines of electrics, mechanics, system level hydraulics, losses, and control are implemented by lumped parameter modeling while the disciplines of thermodynamics and fluid dynamics are simulated by computational fluid dynamics (CFD). Subsequently, a simulation analysis focusing on the critical temperature conditions was conducted, and the dynamic thermal and power responses were achieved. The simulation results are applicable to gain confidence for EHA detail design work as well as proved the functions of the proposed model as a practical development tool.
{"title":"Thermal Coupling Simulation of Electro-Hydrostatic Actuator Subjected to Critical Temperature Conditions","authors":"Xudong Han, T. Minav, Mingkang Wang, Y. Fu, M. Pietola","doi":"10.13052/ijfp1439-9776.2336","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2336","url":null,"abstract":"Electro-hydrostatic actuators (EHAs) are emerging transmission techniques originated from aerospace industry and being introduced to various application fields, such as ships, robots, construction machines, and machine tools. Despite the advantages of high efficiency, easy maintenance, electrified power, etc., EHAs are usually self-contained integrated devices, resulting in low heat dissipation ability. Therefore, thermal coupling models are necessary for the evaluation of each design option during the EHA development. In this paper, a thermal coupling model was established for EHA thermal characteristic analysis during the detail design stage. The disciplines of electrics, mechanics, system level hydraulics, losses, and control are implemented by lumped parameter modeling while the disciplines of thermodynamics and fluid dynamics are simulated by computational fluid dynamics (CFD). Subsequently, a simulation analysis focusing on the critical temperature conditions was conducted, and the dynamic thermal and power responses were achieved. The simulation results are applicable to gain confidence for EHA detail design work as well as proved the functions of the proposed model as a practical development tool.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43309415","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}
Pub Date : 2022-09-12DOI: 10.13052/ijfp1439-9776.2337
Zhen Zhang, Jingming Zhang, Nianning Luo
Hydraulic excavators are complex mechatronics construction machinery with characteristics of multidiscipline intersection and multi-domain close coupling. To analyze the comprehensive property of its trajectory control system, a method of multi-system hybrid modeling and simulation based on MATLAB is proposed and described. In this paper, the multi-domain physical model of a medium-sized hydraulic excavator is established. The considered model is mainly comprised of four other subsystems: a machine system, a hydraulic system, a trajectory control system and a sensor system. Moreover, a fuzzy neural network (FNN) PID strategy is introduced to the trajectory control system to guarantee the accuracy of automatic operation. On the basis of the multi-domain physical model, typical simulation experiments for working patterns were performed to validate the performance of the FNNPID controller. Comparison results demonstrate that the precision and velocity response of the FNNPID controller is better than that of the PID with traditional algorithm. The tracking errors of the boom, the arm, the bucket and the swing are decreased by 3∘, 3.2∘, 5.5∘ and 7.5∘, respectively. Establishment of the multi-domain physical model offers technical means for optimization design and rapid modeling of the complex electromechanical system.
{"title":"A Study on Trajectory Control System of Hydraulic Excavators Based on Multi-Domain Physical Model*","authors":"Zhen Zhang, Jingming Zhang, Nianning Luo","doi":"10.13052/ijfp1439-9776.2337","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2337","url":null,"abstract":"Hydraulic excavators are complex mechatronics construction machinery with characteristics of multidiscipline intersection and multi-domain close coupling. To analyze the comprehensive property of its trajectory control system, a method of multi-system hybrid modeling and simulation based on MATLAB is proposed and described. In this paper, the multi-domain physical model of a medium-sized hydraulic excavator is established. The considered model is mainly comprised of four other subsystems: a machine system, a hydraulic system, a trajectory control system and a sensor system. Moreover, a fuzzy neural network (FNN) PID strategy is introduced to the trajectory control system to guarantee the accuracy of automatic operation. On the basis of the multi-domain physical model, typical simulation experiments for working patterns were performed to validate the performance of the FNNPID controller. Comparison results demonstrate that the precision and velocity response of the FNNPID controller is better than that of the PID with traditional algorithm. The tracking errors of the boom, the arm, the bucket and the swing are decreased by 3∘, 3.2∘, 5.5∘ and 7.5∘, respectively. Establishment of the multi-domain physical model offers technical means for optimization design and rapid modeling of the complex electromechanical system.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45187521","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}
Pub Date : 2022-09-12DOI: 10.13052/ijfp1439-9776.2335
V. Zhidchenko, H. Handroos
The paper considers the proposed method for the camera-less remote surveillance on hydraulically actuated heavy equipment. The method uses the data about the pressure and position of hydraulic actuators as an input. These data are transmitted over the internet in the Internet of Things (IoT) environment to the IoT cloud computing platform. A simulation model consisting of hydraulic and multibody dynamics submodels composes the digital twin of the machine under surveillance. This digital twin is maintained and calculated in the cloud. It reproduces the movements of the machine and calculates the forces acting in it. Together with the GPS coordinates, these data provide the full information on the machine operation. As a result, the productivity of the machine can be estimated, the misuse can be detected, and the load history can be gathered in order to estimate the remaining life of the machine or to plan the maintenance activities. The influence of the sensor accuracy on the simulation results is evaluated. The experimental results are presented that verify the feasibility of the proposed method on the example case of hydraulic mobile crane.
{"title":"A Method for the Camera-less Remote Surveillance on Hydraulically Actuated Heavy Equipment Using IoT Environment","authors":"V. Zhidchenko, H. Handroos","doi":"10.13052/ijfp1439-9776.2335","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2335","url":null,"abstract":"The paper considers the proposed method for the camera-less remote surveillance on hydraulically actuated heavy equipment. The method uses the data about the pressure and position of hydraulic actuators as an input. These data are transmitted over the internet in the Internet of Things (IoT) environment to the IoT cloud computing platform. A simulation model consisting of hydraulic and multibody dynamics submodels composes the digital twin of the machine under surveillance. This digital twin is maintained and calculated in the cloud. It reproduces the movements of the machine and calculates the forces acting in it. Together with the GPS coordinates, these data provide the full information on the machine operation. As a result, the productivity of the machine can be estimated, the misuse can be detected, and the load history can be gathered in order to estimate the remaining life of the machine or to plan the maintenance activities. The influence of the sensor accuracy on the simulation results is evaluated. The experimental results are presented that verify the feasibility of the proposed method on the example case of hydraulic mobile crane.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49570597","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}
Pub Date : 2022-09-08DOI: 10.13052/ijfp1439-9776.2333
Daniel Müller, J. Haag, Jennifer Wickert, Adrian Raisch, Kathrin Hoffmann, Kevin Schmidt, O. Sawodny
As the public call for increasing efforts in achieving the global climate protection goals intensifies, discussions about the efficient use of resources and energy are on the daily agenda. As many other areas, the industry has seen itself facing growing concerns about the long neglected environmental aspects. Since a large proportion of the energy in production is used by pneumatic drives, this survey paper exclusively focuses on pneumatics in handling and automation technology and presents the most common components, followed by multiple model-based strategies to increase energy efficiency in modern production plants. First, single units are studied extensively and methods for design and energy efficient control are presented. Since in production lines pneumatic drives are generally operated in large networks, the second part focuses on energy efficient strategies at plant level. These include an optimized adjustment of the supply pressure, a cascaded air usage, and an automated adaptive control pattern. Care is taken to ensure that the considered approaches are applicable in today’s industrial plants, which is demonstrated by experiments in a production line. The experimental findings show the immense potential of the discussed measures in the form of compressed air savings of more than 60% compared to the industry standard.
{"title":"Energy Efficient Pneumatics: Aspects of Control and Systems Theory","authors":"Daniel Müller, J. Haag, Jennifer Wickert, Adrian Raisch, Kathrin Hoffmann, Kevin Schmidt, O. Sawodny","doi":"10.13052/ijfp1439-9776.2333","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2333","url":null,"abstract":"As the public call for increasing efforts in achieving the global climate protection goals intensifies, discussions about the efficient use of resources and energy are on the daily agenda. As many other areas, the industry has seen itself facing growing concerns about the long neglected environmental aspects. Since a large proportion of the energy in production is used by pneumatic drives, this survey paper exclusively focuses on pneumatics in handling and automation technology and presents the most common components, followed by multiple model-based strategies to increase energy efficiency in modern production plants.\u0000First, single units are studied extensively and methods for design and energy efficient control are presented. Since in production lines pneumatic drives are generally operated in large networks, the second part focuses on energy efficient strategies at plant level. These include an optimized adjustment of the supply pressure, a cascaded air usage, and an automated adaptive control pattern. Care is taken to ensure that the considered approaches are applicable in today’s industrial plants, which is demonstrated by experiments in a production line. The experimental findings show the immense potential of the discussed measures in the form of compressed air savings of more than 60% compared to the industry standard.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47528434","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}
Pub Date : 2022-03-21DOI: 10.13052/ijfp1439-9776.2332
Ivan Baus, Robert Rahmfeld, Andreas Schumacher, H. Pedersen
For axial piston units, product optimisation plays an essential role in the development phase, where an efficient and price-attractive product design and manufacturing process is the key to the success of a product. Moreover, the market needs are on lighter, more compact, efficient, and reliable products designed to the limit. Therefore, reliability is the focus of this work, where the research includes method analysis of the material stress calculation applied to the cylinder block implemented in an axial piston pump. A simplified calculation model is presented and evaluated concerning load while remaining accessible for users without deep technical knowledge or access to expensive Finite Element (FE) simulation tools. The analytical calculation method delivers a stress distribution intended for different purposes like design evaluation or as load spectrum for lifetime calculation. Additionally, the developed calculation method is generalised, enabling the methodology to be used on any standard axial piston pump. The methodology utilises the stress determination model, which includes the load as a sum of forces caused by the external and internal influencing factors. To show the method’s success, a comparison demonstrates strong positive agreement between the calculated and simulated stress results obtained by Finite Element Analysis.
{"title":"Stress Analysis of the Cylinder Block in an Axial Piston Pump","authors":"Ivan Baus, Robert Rahmfeld, Andreas Schumacher, H. Pedersen","doi":"10.13052/ijfp1439-9776.2332","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2332","url":null,"abstract":"For axial piston units, product optimisation plays an essential role in the development phase, where an efficient and price-attractive product design and manufacturing process is the key to the success of a product. Moreover, the market needs are on lighter, more compact, efficient, and reliable products designed to the limit. Therefore, reliability is the focus of this work, where the research includes method analysis of the material stress calculation applied to the cylinder block implemented in an axial piston pump. A simplified calculation model is presented and evaluated concerning load while remaining accessible for users without deep technical knowledge or access to expensive Finite Element (FE) simulation tools. The analytical calculation method delivers a stress distribution intended for different purposes like design evaluation or as load spectrum for lifetime calculation. Additionally, the developed calculation method is generalised, enabling the methodology to be used on any standard axial piston pump. The methodology utilises the stress determination model, which includes the load as a sum of forces caused by the external and internal influencing factors. To show the method’s success, a comparison demonstrates strong positive agreement between the calculated and simulated stress results obtained by Finite Element Analysis.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42992700","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}
Pub Date : 2022-03-16DOI: 10.13052/ijfp1439-9776.2331
Yangbin Zheng, Xiao Xue, Jisong Zhang
In order to improve the buffering performance of porous hydraulic buffer effectively, the artificial fish swarm algorithm is improved to carry out optimization analysis of porous hydraulic buffer. Firstly, theory model of porous hydraulic buffer is studied, and the optimal model of porous hydraulic buffer is established. Secondly, the improved artificial fish swarm algorithm is put forward through improving step size and fish swarm behaviour. Finally, the optimization simulation analysis of porous hydraulic buffer is carried out, and results show that the proposed artificial fish swarm algorithm can obtain better optimal effect, and improve the performance of porous hydraulic buffer.
{"title":"Study on Intelligent Optimization Model of Porous Hydraulic Buffer","authors":"Yangbin Zheng, Xiao Xue, Jisong Zhang","doi":"10.13052/ijfp1439-9776.2331","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2331","url":null,"abstract":"In order to improve the buffering performance of porous hydraulic buffer effectively, the artificial fish swarm algorithm is improved to carry out optimization analysis of porous hydraulic buffer. Firstly, theory model of porous hydraulic buffer is studied, and the optimal model of porous hydraulic buffer is established. Secondly, the improved artificial fish swarm algorithm is put forward through improving step size and fish swarm behaviour. Finally, the optimization simulation analysis of porous hydraulic buffer is carried out, and results show that the proposed artificial fish swarm algorithm can obtain better optimal effect, and improve the performance of porous hydraulic buffer.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47453515","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}
Pub Date : 2022-03-01DOI: 10.13052/ijfp1439-9776.2325
E. Bahloul, M. Diany, H. Aissaoui, E. Boudaia, M. Mabrouki
This work presents a comparative analysis between a homogeneous O-ring and an another composed of the union of two materials. Two axisymmetric finite element models developed in this article using the ANSYS software study the seals behavior during their deformations. The results of the numerical model are compared with those of the analytical approach based on Hertz’s contact theory. The introduction of a metal core inside the elastomer O-ring can improve not only the seal’s resistance but also the maximum value of the contact pressure.
{"title":"Finite Element Analysis of O-ring Performance Reinforced by a Metallic Core","authors":"E. Bahloul, M. Diany, H. Aissaoui, E. Boudaia, M. Mabrouki","doi":"10.13052/ijfp1439-9776.2325","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2325","url":null,"abstract":"This work presents a comparative analysis between a homogeneous O-ring and an another composed of the union of two materials. Two axisymmetric finite element models developed in this article using the ANSYS software study the seals behavior during their deformations. The results of the numerical model are compared with those of the analytical approach based on Hertz’s contact theory. The introduction of a metal core inside the elastomer O-ring can improve not only the seal’s resistance but also the maximum value of the contact pressure.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42462451","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}
Pub Date : 2022-02-22DOI: 10.13052/ijfp1439-9776.2324
Nathan Keller, A. Sciancalepore, A. Vacca
Unexpected pump failures in mobile fluid power systems result in monetary and productivity losses, but these failures can be alleviated by implementing a condition monitoring system. This research aims to find the best condition monitoring (CM) technique for a pump with the fewest number of sensors, to accurately detect a defective condition. The sensors choice in a CM system is a critical decision, and a high number of sensors may result in disadvantages besides additional cost, such as overfitting the CM model and increased maintenance. A variable displacement axial piston pump is used as a reference machine for testing the CM technique. Several valve plates with various magnitudes of quantifiable wear and damage are used to compare “healthy” and “unhealthy” hydraulic pumps. The pump parameters are measured on a stationary test rig. This involves observing and detecting differences in pump performance between the healthy and unhealthy conditions and reducing the number of sensors required to monitor a pump’s condition. Observable differences in drain flow were shown, and machine learning algorithms were able to successfully classify a faulty and healthy pump with accuracies nearing 100%. The number of sensors was reduced by implementing a feature selection process and resulted in only five of the 23 sensors to correctly detect pump failure. These sensors measure outlet pressure, inlet pressure, drain pressure, pump speed, and pump displacement. The resulting reduction of sensors is reasonably affordable and relatively easy to implement on mobile applications.
{"title":"Demonstrating a Condition Monitoring Process for Axial Piston Pumps with Damaged Valve Plates","authors":"Nathan Keller, A. Sciancalepore, A. Vacca","doi":"10.13052/ijfp1439-9776.2324","DOIUrl":"https://doi.org/10.13052/ijfp1439-9776.2324","url":null,"abstract":"Unexpected pump failures in mobile fluid power systems result in monetary and productivity losses, but these failures can be alleviated by implementing a condition monitoring system. This research aims to find the best condition monitoring (CM) technique for a pump with the fewest number of sensors, to accurately detect a defective condition. The sensors choice in a CM system is a critical decision, and a high number of sensors may result in disadvantages besides additional cost, such as overfitting the CM model and increased maintenance.\u0000A variable displacement axial piston pump is used as a reference machine for testing the CM technique. Several valve plates with various magnitudes of quantifiable wear and damage are used to compare “healthy” and “unhealthy” hydraulic pumps. The pump parameters are measured on a stationary test rig. This involves observing and detecting differences in pump performance between the healthy and unhealthy conditions and reducing the number of sensors required to monitor a pump’s condition. Observable differences in drain flow were shown, and machine learning algorithms were able to successfully classify a faulty and healthy pump with accuracies nearing 100%. The number of sensors was reduced by implementing a feature selection process and resulted in only five of the 23 sensors to correctly detect pump failure. These sensors measure outlet pressure, inlet pressure, drain pressure, pump speed, and pump displacement. The resulting reduction of sensors is reasonably affordable and relatively easy to implement on mobile applications.","PeriodicalId":13977,"journal":{"name":"International Journal of Fluid Power","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47367274","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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