scholarly journals Efficiency Improved Load Sensing System—Reduction of System Inherent Pressure Losses

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 941 ◽  
Author(s):  
◽  
◽  
Keyword(s):  
Pressure Losses ◽  
Load Sensing ◽  
Sensing System ◽  
System Reduction

A double variable control load sensing system for electric hydraulic excavator

Energy ◽  
2021 ◽  
Vol 223 ◽  
pp. 119999
Author(s):  
Tianliang Lin ◽  
Yuanzheng Lin ◽  
Haoling Ren ◽  
Haibin Chen ◽  
Zhongshen Li ◽  
...  
Keyword(s):  
Hydraulic Excavator ◽  
Load Sensing ◽  
Sensing System ◽  
Variable Control ◽  
Control Load

scholarly journals A smart load-sensing system using standardized mechano-luminescence measurement

2015 ◽  
Vol 23 (5) ◽  
pp. 6073 ◽  
Author(s):  
Kee-Sun Sohn ◽  
Min Young Cho ◽  
Minseuk Kim ◽  
Ji Sik Kim
Keyword(s):  
Load Sensing ◽  
Sensing System ◽  
Luminescence Measurement

Performances analysis of a novel load-sensing hydraulic system with overriding differential pressure control

2016 ◽  
Vol 231 (23) ◽  
pp. 4331-4343 ◽  
Author(s):  
Hu Quanyi ◽  
Zhang Hong ◽  
Tian Shujun ◽  
Qin Xuxin
Keyword(s):  
Hydraulic System ◽  
Graph Model ◽  
Pressure Control ◽  
Bond Graph ◽  
Differential Pressure ◽  
Operating Conditions ◽  
Control Mode ◽  
Variable Pressure ◽  
Load Sensing ◽  
Sensing System

The traditional load-sensing hydraulic system is an energy-saving fluid power transmission, which supply “on-demand” flow at a prescribed pressure margin greater than the highest load pressure of the system. In this paper, a novel load-sensing system that has a variable pressure margin through overriding differential pressure control via integrating an electro-proportional three-way type pressure reducing valve into the hydro-mechanical load-sensing valve is proposed. Also, a bond graph model taking into account the dynamic characteristics of load-sensing valve and load-sensing path is constructed, and three group experiments are performed to verify the validation of the model. Based on the bond graph model, a series of theoretical simulations are carried out to prove that the proposed Load-Sensing system enables a satisfactory balance between energy efficiency and rapid dynamic response over a wide range of operating conditions. In addition, due to overriding differential pressure control, mode selection and power limit regulation can also be achieved.

scholarly journals Analysis and design of auto-adaptive leveling hydraulic suspension for agricultural robot

2021 ◽  
Vol 18 (5) ◽  
pp. 172988142110406
Author(s):  
Kai Hu ◽  
Wenyi Zhang ◽  
Bing Qi
Keyword(s):  
Mountain Areas ◽  
Load Pressure ◽  
Analysis And Design ◽  
Load Sensing ◽  
Sensing System ◽  
Walking Performance ◽  
High Control ◽  
Control Accuracy ◽  
Agricultural Robot

The application of agricultural robot in hilly and mountain areas faces several problems, such as bad walking performance, easy tilt, and low safety. The auto-adaptive leveling hydraulic suspension for the agricultural robot can help to eliminate some sort of problems. The design of such system is the main aim of the article. The hydraulic system with load-sensing system and its controlling model were established and then the load-sensing system was modeled and simulated in Advanced Modeling Environment for SIMulation. The optimal proportional–integral–derivative parameters were determined by the optimized algorithm. The simulation results illustrated that the inlet and outlet pressure difference of throttle and the flow rate through throttle are 42 bar and 29.65 L/min, respectively, all the time when the load pressure varies from 0 bar to 100 bar. The load-sensing system has good power follow-up and high control accuracy. And then the experimental bench of auto-adaptive leveling hydraulic suspension was researched and developed to verify the leveling performance. The experimental results demonstrate that auto-adaptive leveling hydraulic suspension can keep frame leveling dynamically on upslope, downslope, side slope, and continuous undulating road surface. The maximum errors of the pitch angle and the tilt angle are −0.93° and 0.97°. The feasibility of the designed hydraulic suspension was verified. The research methods in this article can provide theoretical basis for the design of other auto-adaptive leveling systems in hilly and mountain areas.

Model and Experimental Validation of a Load Sensing System With a Critically Lapped Regulator Spool

2005 ◽  
Vol 6 (3) ◽  
pp. 5-18 ◽  
Author(s):  
Duqiang Wu ◽  
Greg Schoenau ◽  
Richard Burton ◽  
Doug Bitner
Keyword(s):  
Experimental Validation ◽  
Load Sensing ◽  
Sensing System

scholarly journals Cavitation Prevention Potential of Hydromechanical Pressure Compensation Independent Metering System with External Active Load

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 255
Author(s):  
Kailei Liu ◽  
Shaopeng Kang ◽  
Hongbin Qiang ◽  
Chengtao Yu
Keyword(s):  
Behavior Analysis ◽  
Static Behavior ◽  
Load Sensing ◽  
Sensing System ◽  
Cavitation Phenomenon ◽  
Cavitation Performance ◽  
Active Load ◽  
Comparison Results ◽  
Pressure Compensation ◽  
Prevention Potential

This article studies the cavitation performance and preventing method of the hydromechanical pressure compensation independent metering system (HPCIMS). Compared with the conventional load sensing system (CLSS), the meter-in and meter-out orifices of HPCIMS can be regulated independently. A quasi-static behavior analysis of cavitation performance was applied to the HPCIMS and CLSS. The meter-in pressure equation of HPCIMS showed that keeping the ratio of the meter-in and meter-out orifices greater than the minimum value can avoid the cavitation phenomenon. Systems parameters were then kept as constant, and the key parameters related to cavitation performance of the two systems were compared by varying external force. Comparison results show that the cavitation phenomenon in the meter-in chamber of CLSS with the external active load is inevitable, but in HPCIMS, it can prevent the cavitation phenomenon by changing the ratio of the meter-in and meter-out orifices, so the HPCIMS has the cavitation prevention potential.

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