Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump
Joint Authors
Cui, Hong-Xin
Feng, Ke
Li, Huan-Liang
Han, Jin-Hua
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper aimed to decrease damping coefficient and enhance dynamic performance of the load sensing variable pump.
Firstly, the working mechanism of the pump was analyzed and the dynamic model was built; hence it was concluded that the method to improve the system performance is to increase corner frequency of the first-order inertia elements.
Then the simulation test rig of the load sensing variable pump was built with SimHydraulics software and was verified by simulation and experiments; the influence rules of main parameters on the system performance were studied by dynamic simulations.
Finally, a structure optimization scheme was proposed; simulation results show that the response time of optimized system is 33.42% reduced and flow overshoot has fallen down from 8.9% to 1.6% compared with the original system.
American Psychological Association (APA)
Cui, Hong-Xin& Feng, Ke& Li, Huan-Liang& Han, Jin-Hua. 2016. Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112444
Modern Language Association (MLA)
Cui, Hong-Xin…[et al.]. Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112444
American Medical Association (AMA)
Cui, Hong-Xin& Feng, Ke& Li, Huan-Liang& Han, Jin-Hua. Response Characteristics Analysis and Optimization Design of Load Sensing Variable Pump. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112444
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112444