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1.
J Biomech Eng ; 144(11)2022 11 01.
Article in English | MEDLINE | ID: mdl-35643820

ABSTRACT

Atherosclerosis in carotid arteries depends mostly on hemodynamic parameters, and any disturbances in pulsatile flows may alter the hemodynamic parameters extensively. Gas emboli are one such source that can hinder and disturb standard blood flow patterns and potentially lead to occlusions and ischemia. To understand how gas embolism affects carotid artery hemodynamics, numerical simulation of coupled Newtonian two-phase laminar flow with interface tracking are performed in an anatomical image-based geometry with flow conditions closely approximating physiological flows. Bubble behavior and Pulsatile flow field changes are quantified. Significant deviation from flow without gas embolism is observed leading to nonstandard flow distributions. Results show that gas embolism promotes complex spatio-temporal variations in the carotid artery hemodynamics leading to higher time averaged shear stress values and greater regions of high oscillatory shear index, implying higher probability of atherosclerosis incidence. Depending on contact angle, gas emboli were found to be lodged in carotid sinus or exiting the carotid artery, which can potentially cause abnormalities in blood pressures, heart rates, and ischemia in downstream vasculature, respectively.


Subject(s)
Atherosclerosis , Embolism, Air , Blood Flow Velocity , Carotid Arteries/physiology , Computer Simulation , Hemodynamics/physiology , Humans , Models, Cardiovascular , Pulsatile Flow/physiology , Stress, Mechanical
2.
Soft Matter ; 10(25): 4555-60, 2014 Jul 07.
Article in English | MEDLINE | ID: mdl-24817608

ABSTRACT

Electrostatic repulsive interaction forces between charged spherical colloidal particles at an oil-water interface are numerically studied by solving the standard three-dimensional Poisson-Nernst-Planck model. We directly compute the electrostatic force on a finite-size spherical particle and our results are applicable to all inter-particle distances without distinguishing short ranges and long ranges. The model successfully captures the scaling relationship of the force and the separation distance (d) between two charged particles at both short ranges (exponential dependence) and long ranges (∼d(-4)). The model also bridges these two ranges and provides quantitative information in the middle range. In addition, by assuming that there is a small residual electric charge at the particle-oil interface, the standard model is capable of quantitatively predicting the repulsive particle-particle interaction force over a large range of the separation distance between two particles. The favorable agreement between experiments and theoretical predictions also leads one to conclude that the standard model adequately describes the particle-particle interactions trapped at the oil-water interface.

3.
Langmuir ; 28(30): 11164-72, 2012 Jul 31.
Article in English | MEDLINE | ID: mdl-22758794

ABSTRACT

The polarization of a diffuse soft particle submerged in an aqueous electrolyte and subjected to a uniform alternating electric field is theoretically analyzed with the standard electrokinetic model (the Poisson-Nernst-Planck equations). The particle consists of a rigid uncharged core and a charged diffuse polyelectrolytic shell (soft layer) permeable to ions and solvent. Our focus is on the impact of the characteristics of the soft layer including the Donnan potential, the soft layer thickness, and the friction coefficient of the soft layer on the dipole coefficient, characterizing the strength of the polarization. Under the limits of thin double layers and thin polyelectrolytic shells, approximate analytical expressions to evaluate the dipole moment coefficients are derived for high-frequency and low-frequency ranges, respectively. The analytical results are compared and agree favorably with those numerically computed by the standard model. Interestingly, we discover that when the double layer is comparable to the soft layer the dipole moment behaves qualitatively differently at different Donnan potentials. When the Donnan potential is small, the dipole moment decreases as the double layer increases. In contrast, at large Donnan potentials, the dipole moment increases with the increase in the double layer. The distinct responses to Donnan potentials are attributed to the impact of the associated double layer on the charge distribution of mobile ions inside the soft layer. The theoretical model provides a fundamental basis for interpreting the polarization of heterogeneous systems, including environmental or biological colloids or microgel particles.


Subject(s)
Colloids/chemistry , Electrolytes/chemistry , Electrochemistry
4.
J Air Waste Manag Assoc ; 59(12): 1446-57, 2009 Dec.
Article in English | MEDLINE | ID: mdl-20066910

ABSTRACT

Although emissions of air pollutants from some military tactical equipment are not subject to the emissions standards, local communities near military bases must conform to the National Ambient Air Quality Standards. Military diesel generators are widely used in training. A portable in-plume system was used to measure fuel-based emission factors (EFs) for particulate matter (PM), carbon monoxide (CO), nitrogen oxides (NOx), and hydrocarbons (HCs) for 30-, 60-, and 100-kW generators at five load levels and for cold starts. It was found that EFs depend on multiple parameters including engine size, engine load, unit age, and total running hours. The average CO EF of generators tested was 5% lower, and the average NOx EF was 63% lower than AP-42 estimates; average PM EF was 80% less than the AP-42 estimates. A 2002 model-year 60-kW engine produced 25% less PM than a 1995 engine of the same family with similar running hours. CO EFs decrease with increasing engine load, NOx EFs increase up to mid-loads and decrease slightly at high loads, PM EFs increase with loads for 30- and 60-kW engines. CO and PM have higher EFs and NOx has a lower EF during cold starts than during hot-stabilized operation. PM chemical source profiles were also examined.


Subject(s)
Air Pollutants/analysis , Environmental Monitoring , Vehicle Emissions/analysis , Air Pollutants/chemistry , Carbon Monoxide/analysis , Carbon Monoxide/chemistry , Hydrocarbons/analysis , Hydrocarbons/chemistry , Military Personnel , Nitrogen Oxides/analysis , Nitrogen Oxides/chemistry , Particle Size , Particulate Matter/analysis , Particulate Matter/chemistry , Spectroscopy, Fourier Transform Infrared , United States
5.
J Air Waste Manag Assoc ; 57(5): 551-60, 2007 May.
Article in English | MEDLINE | ID: mdl-17518221

ABSTRACT

There is a dearth of information on dust emissions from sources that are unique to the U.S. Department of Defense testing and training activities. However, accurate emissions factors are needed for these sources so that military installations can prepare accurate particulate matter (PM) emission inventories. One such source, coarse and fine PM (PM10 and PM2.5) emissions from artillery backblast testing on improved gun positions, was characterized at the Yuma Proving Ground near Yuma, AZ, in October 2005. Fugitive emissions are created by the shockwave from artillery pieces, which ejects dust from the surface on which the artillery is resting. Other contributions of PM can be attributed to the combustion of the propellants. For a 155-mm howitzer firing a range of propellant charges or zones, amounts of emitted PM10 ranged from -19 g of PM10 per firing event for a zone 1 charge to 92 g of PM10 per firing event for a zone 5. The corresponding rates for PM2.5 were approximately 9 g of PM2.5 and 49 g of PM2.5 per firing. The average measured emission rates for PM1o and PM2.5 appear to scale with the zone charge value. The measurements show that the estimated annual contributions of PM10 (52.2 t) and PM2.5 (28.5 t) from artillery backblast are insignificant in the context of the 2002 U.S. Environment Protection Agency (EPA) PM emission inventory. Using national-level activity data for artillery fire, the most conservative estimate is that backblast would contribute the equivalent of 5 x 10(-4) % and 1.6 x 10(-3)% of the annual total PM10 and PM2.5 fugitive dust contributions, respectively, based on 2002 EPA inventory data.


Subject(s)
Air Pollutants/analysis , Explosive Agents/chemistry , Particulate Matter/analysis , Algorithms , Filtration , United States , United States Environmental Protection Agency
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