A first-order model for computation of laser-induced breakdown thresholds in ocular and aqueous media. I. Theory

1995 ◽  
Vol 31 (12) ◽  
pp. 2241-2249 ◽  
Author(s):  
P.K. Kennedy
Keyword(s):  
Aqueous Media ◽  
Order Model ◽  
First Order ◽  
Laser Induced Breakdown

A first-order model for computation of laser-induced breakdown thresholds in ocular and aqueous media. II. Comparison to experiment

1995 ◽  
Vol 31 (12) ◽  
pp. 2250-2257 ◽  
Author(s):  
P.K. Kennedy ◽  
S.A. Boppart ◽  
D.X. Hammer ◽  
B.A. Rockwell ◽  
G.D. Noojin ◽  
...  
Keyword(s):  
Aqueous Media ◽  
Order Model ◽  
First Order ◽  
Laser Induced Breakdown

First-order model for computation of laser-induced breakdown thresholds in condensed media

1995 ◽  
Author(s):  
Paul K. Kennedy ◽  
Stephen A. Boppart ◽  
Daniel X. Hammer ◽  
Benjamin A. Rockwell ◽  
Gary D. Noojin ◽  
...  
Keyword(s):  
Order Model ◽  
Condensed Media ◽  
First Order ◽  
Laser Induced Breakdown

scholarly journals Biosorption of cationic dyes by Pará chestnut husk (Bertholletia excelsa)

2018 ◽  
Vol 77 (6) ◽  
pp. 1612-1621 ◽  
Author(s):  
Jordana Georgin ◽  
Bianca Silva Marques ◽  
Enrique Chaves Peres ◽  
Daniel Allasia ◽  
Guilherme Luiz Dotto
Keyword(s):  
Industrial Waste ◽  
Low Cost ◽  
Aqueous Media ◽  
Amorphous Structure ◽  
Cationic Dyes ◽  
Order Model ◽  
Bertholletia Excelsa ◽  
Freundlich Model ◽  
First Order ◽  
Pseudo First Order

Abstract Pará chestnut husk (Bertholletia excelsa) (PCH), an agro-industrial waste largely generated in Brazil, was employed as a low-cost and efficient biosorbent to remove the cationic dyes Crystal Violet (CV) and Methylene Blue (MB) from aqueous media. PCH presented an amorphous structure containing carboxylic acids, esters, ketones and aldehydes on the surface. Non-porous and irregular particles were also observed. For both dyes, the biosorption capacity was favored under acid conditions. Equilibrium was attained within 40 min at 25 °C with a PCH dosage of 0.5 g L−1. The biosorption kinetic curves were satisfactory explained by the pseudo-first-order model. The Freundlich model was best for representing the equilibrium curves. The maximum biosorption capacities were 83.6 and 83.8 mg g−1 for CV and MB, respectively. PCH was efficient for treating a simulated textile effluent containing several dyes and chemicals, achieving a color removal of 90%. In this way, PCH can be considered as an option for treating colored effluents containing textile dyes.

A first-order model of thermal lensing of laser propagation in the eye and implications for laser safety

2005 ◽  
Author(s):  
Robert J. Thomas ◽  
Rebecca L. Vincelette ◽  
Gavin D. Buffington ◽  
Amber D. Strunk ◽  
Michael A. Edwards ◽  
...  
Keyword(s):  
Thermal Lensing ◽  
Order Model ◽  
Laser Safety ◽  
First Order ◽  
Laser Propagation

Application of two approaches to model chlorine residuals in Severn Trent Water Ltd (STW) distribution systems

1997 ◽  
Vol 36 (5) ◽  
pp. 317-324 ◽  
Author(s):  
M.J. Rodriguez ◽  
J.R. West ◽  
J. Powell ◽  
J.B. Sérodes
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Treatment Plant ◽  
Residual Chlorine ◽  
Ann Model ◽  
Order Model ◽  
First Order ◽  
Chlorine Decay ◽  
Artificial Neural Network Ann ◽  
Key Parameter

Increasingly, those who work in the field of drinking water have demonstrated an interest in developing models for evolution of water quality from the treatment plant to the consumer's tap. To date, most of the modelling efforts have been focused on residual chlorine as a key parameter of quality within distribution systems. This paper presents the application of a conventional approach, the first order model, and the application of an emergent modelling approach, an artificial neural network (ANN) model, to simulate residual chlorine in a Severn Trent Water Ltd (U.K.) distribution system. The application of the first order model depends on the adequate estimation of the chlorine decay coefficient and the travel time within the system. The success of an ANN model depends on the use of representative data about factors which affect chlorine evolution in the system. Results demonstrate that ANN has a promising capacity for learning the dynamics of chlorine decay. The development of an ANN appears to be justifiable for disinfection control purposes, in cases when parameter estimation within the first order model is imprecise or difficult to obtain.

Reduced Order Model of MEMS Sensors Near Natural Frequency

2011 ◽  
Author(s):  
Dumitru I. Caruntu ◽  
Jose C. Solis Silva
Keyword(s):  
Natural Frequency ◽  
Nonlinear Response ◽  
Casimir Effect ◽  
Electrostatic Force ◽  
Reduced Order Model ◽  
Mass Detection ◽  
Order Model ◽  
Reduced Order ◽  
First Order ◽  
Electrostatically Actuated

The nonlinear response of an electrostatically actuated cantilever beam microresonator sensor for mass detection is investigated. The excitation is near the natural frequency. A first order fringe correction of the electrostatic force, viscous damping, and Casimir effect are included in the model. The dynamics of the resonator is investigated using the Reduced Order Model (ROM) method, based on Galerkin procedure. Steady-state motions are found. Numerical results for uniform microresonators with mass deposition and without are reported.

Scattering from composite materials: a first-order model

1989 ◽  
Vol 37 (2) ◽  
pp. 219-228 ◽  
Author(s):  
T.L. Krohn ◽  
L.N. Medgyesi-Mitschang
Keyword(s):  
Composite Materials ◽  
Order Model ◽  
First Order
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