Polymer-based micro flow sensor for dynamical flow measurements in hydraulic systems

2010 ◽  
Vol 20 (6) ◽  
pp. 064004 ◽  
Author(s):  
R Ahrens ◽  
M Festa
Keyword(s):  
Flow Sensor ◽  
Hydraulic Systems ◽  
Flow Measurements ◽  
Micro Flow ◽  
Dynamical Flow

scholarly journals Dynamical flow measurements in hydraulic systems using a polymer-based micro flow sensor

2009 ◽  
Vol 1 (1) ◽  
pp. 927-930 ◽  
Author(s):  
Ralf Ahrens ◽  
Manfred Festa
Keyword(s):  
Flow Sensor ◽  
Hydraulic Systems ◽  
Flow Measurements ◽  
Micro Flow ◽  
Dynamical Flow

Slip Flow Analyses of a Capacitive Pressure-Based Micro Flow Sensor

2003 ◽  
Author(s):  
Jaesung Jang ◽  
Steven T. Wereley
Keyword(s):  
Pressure Difference ◽  
Gas Flow ◽  
Slip Flow ◽  
Velocity Slip ◽  
Flow Sensor ◽  
Anodic Bonding ◽  
Absolute Pressure ◽  
Capacitance Change ◽  
Flow Measurements ◽  
Micro Flow

We present gas flow measurements and slip flow analyses considering velocity slip at the wall in a capacitive pressure-based micro flow sensor. The sensor consists of a pair of capacitors for measuring pressure difference between the inlet and outlet and absolute pressure at the outlet, inlet/outlet reservoirs, and the main microchannel. The main microchannel is 128.0μm wide, 4.64μm deep, and 5680μm long, where the outlet Knudsen number is 0.0137. The sensor was fabricated using wet etching, ultrasonic drilling, Deep Reactive Ion Etching (RIE) and anodic bonding. The capacitance change of the sensor and the mass flow rate of nitrogen were measured as the inlet to outlet pressure ration increased up to 1.24. With the increasing pressure difference, the capacitance change of the differential pressure sensor increases. The TMAC for the channel whose sides are made of silicon dioxide and Pyrex #7740 glass was extracted for nitrogen. The friction factor was also measured and compared with a previous simulation result.

Time of Flight Micro Flow Sensor for Aqueous Fluids Using In-Situ Produced Tracer

2001 ◽  
pp. 1416-1419 ◽  
Author(s):  
Jian Wu ◽  
Willy Sansen
Keyword(s):  
Time Of Flight ◽  
Flow Sensor ◽  
Micro Flow

Temperature-Balance Micro Flow Sensor System Based on a Free Oscillating Differential Power Controller

2001 ◽  
pp. 19-24
Author(s):  
Theo S. J. Lammerink ◽  
Remco J. Wiegerink ◽  
Miko C. Elwenspoek
Keyword(s):  
Flow Sensor ◽  
Sensor System ◽  
Power Controller ◽  
Micro Flow

Textile sensor for heat flow measurements

2016 ◽  
Vol 87 (2) ◽  
pp. 165-174
Author(s):  
Elena Onofrei ◽  
Teodor-Cezar Codau ◽  
Gauthier Bedek ◽  
Daniel Dupont ◽  
Cedric Cochrane
Keyword(s):  
Heat Flow ◽  
Human Body ◽  
Flow Sensor ◽  
Flow Sensors ◽  
Flow Measurements ◽  
Deformable Surfaces ◽  
Textile Sensor

This paper describes the concept of creating and testing of a textile heat flow sensor in order to determine the amount of heat exchanged between the human body and its environment. The main advantage of this sensor is the permeability to moisture, which allows taking into account the evaporation phenomenon, contrary to the traditional heat flow sensors. Another property related to this new sensor is its flexibility conferred by the textile substrate, which allows it to be applied on deformable surfaces.

Micro-flow sensor for continuous resin fluidity monitoring between fibers

2019 ◽  
Vol 282 ◽  
pp. 177-186 ◽  
Author(s):  
Yongxi He ◽  
Yingguang Li ◽  
Xiaozhong Hao ◽  
Jing zhou ◽  
Shuting Liu
Keyword(s):  
Flow Sensor ◽  
Micro Flow

Coupled electrothermal analysis of a micro flow sensor with control circuit using spice

2010 ◽  
Vol 93 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Shoji Kamiunten ◽  
Hidetomo Nagayo ◽  
Masahiro Motosuke ◽  
Shinji Honami
Keyword(s):  
Control Circuit ◽  
Flow Sensor ◽  
Micro Flow

Analysis of Micro Flow Sensor using Excel Spreadsheet

2006 ◽  
Author(s):  
Tae Kim ◽  
Wan-young Chung
Keyword(s):  
Flow Sensor ◽  
Excel Spreadsheet ◽  
Micro Flow

scholarly journals Calibration and Accuracy Determination of a Microwave Type Sensor for Measuring Grain Flow

2014 ◽  
Vol 931-932 ◽  
pp. 1592-1596
Author(s):  
Renny Eka Putri ◽  
Azmi Yahya ◽  
Nor Maria Adam ◽  
Samsuzana Abd Aziz ◽  
Tajudeen Abiodun Ishola
Keyword(s):  
Real Time ◽  
Pitch Angle ◽  
Measurement Errors ◽  
Measurement Accuracy ◽  
Evaluation Study ◽  
Flow Sensor ◽  
Roll Angle ◽  
Flow Measurements ◽  
Solid Flow ◽  
Grain Flow

Impact type grain flow sensor for crop yield monitoring is known to have problem of some thrown grain by the elevator conveyor in a combine not hitting the sensing impact plate. New technology of microwave solid flow sensor was used to solve the problem of impact-type sensor. A calibration stand with its instrumentation systems to stimulate the actual operation of the clean grain auger in a rice combine had been designed and constructed in this study for the purpose of conducting the calibration and evaluation study of the sensor. Two different solid flow sensor orientations and three different solid flow sensor extrusions were investigated in order to find the best positioning of the sensor on the chute for the measurement. Results from the conducted tests indicates that the best sensor positioning is on totally flat ground at 180o orientation and 8 cm extrusion of the chute cross section (R2=0.9400). Then, the solid flow sensor was tested at seven chute pitch angle positions (i.e-4.5o, -3.0o, -1.5o, 0o, +1.5o, + 3.0o, and +4.5 o), seven chute roll angle positions (i.e-4.5o,-3.0o, -1.5 o, 0o, +1.5o, +3.0 o, and +4.5o). Finally, accuracy tests undertaken to compare the real time measurements against the average flow measurements. ANOVA test shows that both pitch angle and roll angle positions have significant effects on the measurement accuracy of the sensor. The measurement errors increased with increasing roll angles and increasing pitch angle. Conclusively, this conducted laboratory study was able to quantify the measurement accuracy of the SWR Solid Flow sensor for real-time measurement of grain flow under a simulated laboratory rice combine test set-up.

Design of micro flow sensor with optimal detection spacing

2007 ◽  
Author(s):  
Tae Yong Kim ◽  
Wan-Young Chung
Keyword(s):  
Flow Sensor ◽  
Optimal Detection ◽  
Micro Flow
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