scholarly journals A Study on Durability and Reliability of Particle Flow-Rate Sensor Using Static Electricity

2011 ◽  
Vol 77 (781) ◽  
pp. 1540-1553
Author(s):  
Kazuya GUSHIMA ◽  
Shuji MATSUSAKA ◽  
Shinji HASEBE
2006 ◽  
Vol 2006 (0) ◽  
pp. _315-1_-_315-6_
Author(s):  
Kazuya GUSHIMA ◽  
Takahiro TOMIOKA ◽  
Hiroshi SAKAMOTO ◽  
Kaoru OHNO ◽  
Minoru TOKITA ◽  
...  

2006 ◽  
Vol 43 (8) ◽  
pp. 559-566 ◽  
Author(s):  
Kazuya Gushima ◽  
Takahiro Tomioka ◽  
Hiroshi Sakamoto ◽  
Kaoru Ohno ◽  
Minoru Tokita ◽  
...  

2008 ◽  
Vol 74 (742) ◽  
pp. 1374-1380 ◽  
Author(s):  
Kazuya GUSHIMA ◽  
Takahiro TOMIOKA ◽  
Hiroshi SAKAMOTO ◽  
Minoru TOKITA ◽  
Kinnosuke WATANABE ◽  
...  

2018 ◽  
Vol 225 ◽  
pp. 02003
Author(s):  
Elaine Why ◽  
Firas Alnaimi ◽  
Hasril Hasini ◽  
Mohammad Nasif

Complete combustion of coal fuel in thermal power plant is often achieved, by ensuring output of fine coal particle (< 75μm) is as high as possible. This is due to the fact that same mass of coal particle in smaller sizes, has higher surface exposed to combustion. Hence, the objective of the study is to determine the effect of air flow rate and coal particle flow rate on coal fineness output. Computational fluid dynamics (CFD) modelling and validation with experimental coal fineness test in real plant are made. The optimum range of air flow rate and coal particle flow rate in pulverizer are selected, by considering relevant air/fuel ratio of 1.5 to 2.0 and turbulence intensity.


Author(s):  
Shin-Juh Chen ◽  
Mark Paige ◽  
Joel Silver ◽  
Skip Williams ◽  
Todd Barhorst

2018 ◽  
Author(s):  
Vivek Singhal ◽  
Pradeep Ashok ◽  
Eric van Oort ◽  
Paul Park

2018 ◽  
Vol 336 ◽  
pp. 70-79 ◽  
Author(s):  
Nan Lin ◽  
H. Arabnejad ◽  
S.A. Shirazi ◽  
B.S. McLaury ◽  
Huiqing Lan

2020 ◽  
Vol 318 (3) ◽  
pp. L510-L517
Author(s):  
Martin Stenlo ◽  
Snejana Hyllén ◽  
Iran A. N. Silva ◽  
Deniz A. Bölükbas ◽  
Leif Pierre ◽  
...  

Acute respiratory distress syndrome (ARDS) is a common cause of death in the intensive care unit, with mortality rates of ~30–40%. To reduce invasive diagnostics such as bronchoalveolar lavage and time-consuming in-hospital transports for imaging diagnostics, we hypothesized that particle flow rate (PFR) pattern from the airways could be an early detection method and contribute to improving diagnostics and optimizing personalized therapies. Porcine models were ventilated mechanically. Lipopolysaccharide (LPS) was administered endotracheally and in the pulmonary artery to induce ARDS. PFR was measured using a customized particles in exhaled air (PExA 2.0) device. In contrast to control animals undergoing mechanical ventilation and receiving saline administration, animals who received LPS developed ARDS according to clinical guidelines and histologic assessment. Plasma levels of TNF-α and IL-6 increased significantly compared with baseline after 120 and 180 min, respectively. On the other hand, the PFR significantly increased and peaked 60 min after LPS administration, i.e., ~30 min before any ARDS stage was observed with other well-established outcome measurements such as hypoxemia, increased inspiratory pressure, and lower tidal volumes or plasma cytokine levels. The present results imply that PFR could be used to detect early biomarkers or as a clinical indicator for the onset of ARDS.


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