compression flow
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2021 ◽  
pp. 1-30
Author(s):  
Marvin Kaufmann ◽  
Florian Flaig ◽  
Michael Müller ◽  
Lukas Stahl ◽  
Jannis Finke ◽  
...  

2021 ◽  
pp. 1-38
Author(s):  
Michael Müller ◽  
Jannis Finke ◽  
Lukas Stahl ◽  
Yan Tong ◽  
Holger Fricke ◽  
...  

2020 ◽  
Vol 51 (12) ◽  
pp. 6132-6135
Author(s):  
Yongliang Mu ◽  
Qiqi Ge ◽  
Guoyin Zu ◽  
Yongdong He

2019 ◽  
Vol 72 (5) ◽  
pp. 567-573
Author(s):  
Lichen Gu ◽  
Rui Xu ◽  
Nan Wang

Purpose The purpose of this paper is to identify the energy losses factors during the hydro-mechanical conversion process at high pressure via a novel reduced order dynamic model. Design/methodology/approach A novel reduced order dynamic model of the axial piston motor was proposed, which provides an explicit insight to the compression flow losses and the Coulomb friction losses. A fully coupled dynamic model of the piston motor was obtained based on the array bond graph method. And then, a reduced order model was obtained by the composition analysis of flow and torque of the axial piston motor. After that, the energy losses estimation model was presented to predict the energy loss of the piston motor under a wide range of working conditions. The model was verified by comparing the experimental and simulation results. Findings The simulation result indicates that the flow loss caused by oil compression accounts for 59 per cent of the total flow loss, and the Coulomb friction torque accounts for 40 per cent of the total torque loss under a specific working condition. The compression flow loss and Coulomb friction torque are the major factors that lead to the aggravation of energy loss under extreme working conditions of the piston motor. Originality/value At high-pressure condition, the compression flow losses due to fluid compressibility cannot be neglected, and the hydro-mechanical losses in varies friction pairs should involve Coulomb friction losses. Flow and torque loss analytical expression in the model involve the design and control parameters of the piston equipment, which can realize the parameter optimization of the piston equipment for the purpose of energy-saving.


2019 ◽  
Vol 754 ◽  
pp. 650-658 ◽  
Author(s):  
S.M. Jagadeesh Babu ◽  
S.V.S.Narayana Murty ◽  
N. Prabhu ◽  
B.P. Kashyap

2018 ◽  
Vol 107 (4) ◽  
pp. 1204-1208 ◽  
Author(s):  
Junshu Zhao ◽  
David Yin ◽  
Jasmine Rowe ◽  
Sherif Badawy ◽  
Faranak Nikfar ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e019009 ◽  
Author(s):  
Keith Couper ◽  
Rochelle M Velho ◽  
Tom Quinn ◽  
Anne Devrell ◽  
Ranjit Lall ◽  
...  

ObjectivesTo evaluate the effect of training strategy on team deployment of a mechanical chest compression device.DesignRandomised controlled manikin trial.SettingLarge teaching hospital in the UK.ParticipantsTwenty teams, each comprising three clinicians. Participating individuals were health professionals with intermediate or advanced resuscitation training.InterventionsTeams were randomised in a 1:1 ratio to receive either standard mechanical chest compression device training or pit-crew device training. Training interventions lasted up to 1 h. Performance was measured immediately after training in a standardised simulated cardiac arrest scenario in which teams were required to deploy a mechanical chest compression device.Primary and secondary outcome measuresPrimary outcome was chest compression flow fraction in the minute preceding the first mechanical chest compression. Secondary outcomes included cardiopulmonary resuscitation quality and mechanical device deployment metrics, and non-technical skill performance. Outcomes were assessed using video recordings of the test scenario.ResultsIn relation to the primary outcome of chest compression flow fraction in the minute preceding the first mechanical chest compression, we found that pit-crew training was not superior to standard training (0.76 (95% CI 0.73 to 0.79) vs 0.77 (95% CI 0.73 to 0.82), mean difference −0.01 (95% CI −0.06 to 0.03), P=0.572). There was also no difference between groups in performance in relation to any secondary outcome.ConclusionsPit-crew training, compared with standard training, did not improve team deployment of a mechanical chest device in a simulated cardiac arrest scenario.Trial registration numberISRCTN43049287; Pre-results.


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