scholarly journals Experimental Investigation on Contaminated Friction of Hydraulic Spool Valve

2019 ◽  
Vol 9 (23) ◽  
pp. 5230 ◽  
Author(s):  
Shuai Fan ◽  
Rui Xu ◽  
Hong Ji ◽  
Shengqing Yang ◽  
Qingyun Yuan
Keyword(s):  
Experimental Investigation ◽  
Surface Morphology ◽  
Real Time ◽  
Lower Limit ◽  
Test Bench ◽  
Size Range ◽  
Valve Body ◽  
Spool Valve ◽  
The Ideal

This paper focuses on the contaminated friction of fit clearance between the spool and valve body to explore the influence principles of clamping stagnation phenomenon. From the perspective of surface morphology and size of particulates in the clearance, designing and manufacturing the valve body, rough spool, conical spool, and standard morphology spool, the test bench was built up and the curves of real-time contaminated friction in the movement of spools were obtained through experiments. The curves show that the contaminated frictions have a feature of pulsation; meanwhile, the stagnation-sensitive size of particulates is between 0.7 and 0.9 times that of clearance. Compared to the ideal morphology spool within the range of sensitive size, the contaminated fiction of rough spool is increased, whereas the lower limit of stagnation-sensitive size range of particulates on conical spool is decreased. The contaminated friction is gradually increased on cis-conical spool but increased first and then decreased on invert cone spool.

Laboratory based Experimental Investigation of Photovoltaic (PV) Thermo-control with Water and its Proposed Real-time Implementation

2018 ◽  
Vol 115 ◽  
pp. 128-138 ◽  
Author(s):  
Ashish Saxena ◽  
Sandip Deshmukh ◽  
Somanath Nirali ◽  
Saurabh Wani
Keyword(s):  
Experimental Investigation ◽  
Real Time

scholarly journals Numerical Simulation of Solid Particle Erosion in Aluminum Alloy Spool Valve

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Jin-gang Liu ◽  
Gao-sheng Wang ◽  
Tian-heng Peng ◽  
Sheng-qiang Jiang
Keyword(s):  
Particle Size ◽  
Aluminum Alloy ◽  
Prediction Model ◽  
Particle Shape ◽  
Two Phase ◽  
Wear Prediction ◽  
Valve Body ◽  
Fluent Software ◽  
Improved Design ◽  
Spool Valve

Aluminum alloy spool valve body material is prone to severe wear on the wall under the condition of oil contamination. Aiming at this problem, combined with the theory of liquid-solid two-phase flow and erosion wear, the wear prediction model of aluminum alloy sliding valve wall is established based on computational fluid dynamics, and the effects of turbulence and wall materials, particle size distribution, and particle shape on particle motion are discussed. The calculation of the wear prediction model is done with Fluent software. This study predicts the wear of the wall under actual working conditions and calculates the influence of particle size, particle shape, and pressure difference on the wall wear of the aluminum alloy sliding valve. The research results have certain significance for the maintenance and upkeep of aluminum alloy sliding valve wall, improved design, and life prediction.

A Calibrated Combination of Probabilistic Precipitation Forecasts to Achieve a Seamless Transition from Nowcasting to Very Short-Range Forecasting

2020 ◽  
Vol 35 (3) ◽  
pp. 773-791
Author(s):  
Peter Schaumann ◽  
Mathieu de Langlard ◽  
Reinhold Hess ◽  
Paul James ◽  
Volker Schmidt
Keyword(s):  
Real Time ◽  
Short Range ◽  
Lead Times ◽  
New Model ◽  
Combination Model ◽  
Logit Transformation ◽  
Interaction Terms ◽  
Probabilistic Forecasts ◽  
Seamless Transition ◽  
The Ideal

Abstract In this paper, a new model for the combination of two or more probabilistic forecasts is presented. The proposed combination model is based on a logit transformation of the underlying initial forecasts involving interaction terms. The combination aims at approximating the ideal calibration of the forecasts, which is shown to be calibrated, and to maximize the sharpness. The proposed combination model is applied to two precipitation forecasts, Ensemble-MOS and RadVOR, which were developed by Deutscher Wetterdienst. The proposed combination model shows significant improvements in various forecast scores for all considered lead times compared to both initial forecasts. In particular, the proposed combination model is calibrated, even if both initial forecasts are not calibrated. It is demonstrated that the method enables a seamless transition between both initial forecasts across several lead times to be created. Moreover, the method has been designed in such a way that it allows for fast updates in nearly real time.

An experimental investigation on surface morphology of machined brass reinforced epoxy composite

2013 ◽  
Vol 33 (4) ◽  
pp. 313-321
Author(s):  
Naeim E Ahmadi ◽  
MNM Ansari ◽  
Ali Zare ◽  
G Harii Krishna Rao
Keyword(s):  
Experimental Investigation ◽  
Surface Morphology ◽  
Epoxy Composite

scholarly journals First experimental investigation of simultaneously tracking two independently moving targets on an MRI‐linac using real‐time MRI and MLC tracking

2020 ◽  
Author(s):  
Paul Z. Y. Liu ◽  
Bing Dong ◽  
Doan Trang Nguyen ◽  
Yuanyuan Ge ◽  
Emily A. Hewson ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Real Time ◽  
Moving Targets

scholarly journals Experimenting Sensors Network for Innovative Optimal Control of Car Suspensions

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3062 ◽  
Author(s):  
Gianluca Pepe ◽  
Nicola Roveri ◽  
Antonio Carcaterra
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Real Time ◽  
Sensor Network ◽  
Field Experiments ◽  
Test Bench ◽  
Active Suspensions ◽  
Benchmark Analysis ◽  
Extensive Test ◽  
Magneto Rheological

This paper presents an innovative electronically controlled suspension system installed on a real car and used as a test bench. The proposed setup relies on a sensor network that acquires a large real-time dataset collecting the car vibrations and the car trim and, through a new controller based on a recently proposed theory developed by the authors, makes use of adjustable semi-active magneto-rheological dampers. A BMW series 1 is equipped with such an integrated sensors-controller-actuators device and an extensive test campaign, in real driving conditions, is carried out to evaluate its performance. Thanks to its strategy, the new plant enhances, at once, both comfort and drivability of the car, as field experiments show. A benchmark analysis is performed, comparing the performance of the new control system with the ones of traditional semi-active suspensions, such as skyhook devices: the comparison shows very good results for the proposed solution.

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