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The population balance equation is solved by applying a hybrid continuous time/Monte Carlo method.
The 2-D population balance equation is solved by a Constant Number Monte-Carlo method.
The population balance equation is solved for particles undergoing a combination of growth, comminution, and collection.
A transient two dimensional energy equation along with suitable reaction kinetics and entropy balance equation is solved numerically.
The stochastic mass balance equation is solved analytically, and based on this, explicit expressions relating system performance to system characteristics are derived.
Estimates of length scales and bioirrigation coefficients can also be obtained if the reaction kinetics are known and the governing mass balance equation is solved at steady state, with the average concentration defined as.
Similar(54)
Flow equations, oxygen balance equation and cell balance equation were solved using special initial and boundary conditions.
A population balance equation was solved by combining the Lax-Wendroff and Crank-Nicholson methods.
To calculate the drop size distribution, both at the steady state and under transient conditions, the drop size spectrum is usually discretised and a set of population balance equations is solved under given initial and boundary conditions.
The mass and momentum balance equations are solved numerically for the case of reversing and non-reversing oscillatory flow.
The coupled heat, mass and momentum balance equations were solved with the finite element method using commercial software FEMLAB™ 3.0.
More suggestions(12)
balance equation is implemented
balance equation is developed
balance equation is based
balance model is solved
balance equation is expressed
balance equation is modified
balance equation is introduced
balance equation is modeled
balance equation is discretised
balance equation is given
balance equation is discussed
balance equation is used
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