scholarly journals Simulation research on pressure shock of load sensing system of large boom tower crane

Author(s):  
Y Fei ◽  
J Li ◽  
C Sun
Energy ◽  
2021 ◽  
Vol 223 ◽  
pp. 119999
Author(s):  
Tianliang Lin ◽  
Yuanzheng Lin ◽  
Haoling Ren ◽  
Haibin Chen ◽  
Zhongshen Li ◽  
...  

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

Author(s):  
Hu Quanyi ◽  
Zhang Hong ◽  
Tian Shujun ◽  
Qin Xuxin

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.


2021 ◽  
Vol 18 (5) ◽  
pp. 172988142110406
Author(s):  
Kai Hu ◽  
Wenyi Zhang ◽  
Bing Qi

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.


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