A computational study of biomimetic mechanosensor array processing for air flow sensing

2007 ◽  
Author(s):  
Michiel van Dyck ◽  
Fons de Mey ◽  
Herbert Peremans
Keyword(s):  
Array Processing ◽  
Computational Study ◽  
Air Flow ◽  
Flow Sensing

scholarly journals Computational Study of Coal Particle Distribution in Coal Pulverizer: Effect of Air Flow Rate and Coal Particle Flow Rate

2018 ◽  
Vol 225 ◽  
pp. 02003
Author(s):  
Elaine Why ◽  
Firas Alnaimi ◽  
Hasril Hasini ◽  
Mohammad Nasif
Keyword(s):  
Flow Rate ◽  
Coal Particle ◽  
Computational Study ◽  
Air Flow ◽  
Thermal Power ◽  
Particle Flow ◽  
Air Flow Rate ◽  
Cfd Modelling ◽  
Complete Combustion ◽  
Coal Fuel

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.

Design of Engine Intake Systems Using Computer Simulations

2002 ◽  
Author(s):  
Bassem H. Ramadan ◽  
Charles L. Gray ◽  
Harold J. Schock ◽  
Fakhri J. Hamady ◽  
Karl H. Hellman
Keyword(s):  
Computer Simulations ◽  
Single Port ◽  
Computational Study ◽  
Direct Injection ◽  
Air Flow ◽  
Intake System ◽  
Different Diameters

A computational study of a direct-injection (DI) engine intake system using KIVA-3V was conducted. The engine considered had two intake ports designed to generate a swirling motion of the intake charge in the cylinder. To investigate the effect of adding shrouds to the intake valves on swirl, two sets of intake valves were considered; the first set consisted of conventional valves, and the second set of valves had back shrouds to restrict airflow from the backside of the valves. The effect of port diameters on air flow and swirl motion was also investigated. In this case, ports with two different diameters were modeled. In addition, the effect of using one or two intake ports on swirl generation was determined by blocking one of the ports. The results show that higher swirl was generated with a single port and a shrouded valve.

CNT-Based Artificial Hair Sensors for Predictable Boundary Layer Air Flow Sensing

2016 ◽  
Vol 1 (9) ◽  
pp. 1600176 ◽  
Author(s):  
Keith A. Slinker ◽  
Corey Kondash ◽  
Benjamin T. Dickinson ◽  
Jeffery W. Baur
Keyword(s):  
Boundary Layer ◽  
Air Flow ◽  
Flow Sensing ◽  
Hair Sensors

scholarly journals Noncontact respiration rate monitoring based on sensing exhaled air

2014 ◽  
Vol 9 (3) ◽  
Author(s):  
A.H. Alkali ◽  
R. Saatchi ◽  
H. Elphick ◽  
D. Burke ◽  
R. Evans
Keyword(s):  
Respiration Rate ◽  
Air Flow ◽  
Electrical Signal ◽  
Sensing Element ◽  
Important Indicator ◽  
Respiration Monitoring ◽  
Flow Sensing ◽  
Exhaled Air ◽  
Processing Techniques ◽  
Signal Processing Techniques

Respiration rate is the average number of times air is inhaled and exhaled per minute. Respiration rate is an important indicator of a person’s health and therefore, it needs to be measured accurately. Existing respiration monitoring systems are generally contact based that means the sensing element needs to be attached to the subject's body. The attached sensor can cause distress in some children, affecting their respiration rate. The device can also become dislodged interrupting the monitoring. This work presents an air flow sensing approach to noncontact respiration rate monitoring. The exhaled air is guided through a small funnel to a chamber that contains a heating element. The heated air leaves the chamber and is then detected by a thermistor that converts the air flow temperature variations to an electrical signal. The signal is amplified, filtered and digitised. Signal processing techniques are used to extract respiration rate from the signal in real time. The device provides respiration rate at distances from 15 to 30 cm from the subject’s face.

Air Flow Sensing in Bats

2014 ◽  
pp. 197-213 ◽  
Author(s):  
Susanne J. Sterbing-D’Angelo ◽  
Cynthia F. Moss
Keyword(s):  
Air Flow ◽  
Flow Sensing

Experimental and computational study of erosion in elbows due to sand particles in air flow

2016 ◽  
Vol 288 ◽  
pp. 339-353 ◽  
Author(s):  
Ronald E. Vieira ◽  
Amir Mansouri ◽  
Brenton S. McLaury ◽  
Siamack A. Shirazi
Keyword(s):  
Computational Study ◽  
Air Flow ◽  
Sand Particles
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