In order to predict the behaviour of the pump during start-up transient condition a mathematical model is developed.
As a matter of fact, the simulation results have shown that a variable meshing stiffness has a notable contribution on the dynamic behaviour of the pump but this is not as important as the pressure phenomena.
The dimensional analysis shows that the basic behaviour of the pump is linear and that its performance can be significantly increased by optimising the design of the duct mouths.
Indeed, manufacturers do not provide a description of the internal behaviour of the pump, and fluid models can be hard to handle in order to properly define the internal loads.
The theoretical model is shown to reflect the complex non-linear behaviour of such a pump and a sensitivity analysis is conducted.
This curve is then coupled with a model of the off-design behaviour of the heat pump, which allows calculation of its energy performance (coefficient of performance, electricity consumption, etc).
A non-linear lumped kineto-elastodynamic model for the prediction of the dynamic behaviour of external gear pumps is presented.
In previous works of the authors (Part I and II, [1,2]), a non-linear lumped-parameter kineto-elastodynamic model for the prediction of the dynamic behaviour of external gear pumps was presented.
We hypothesize that initiating CGM at the same time as starting insulin pump therapy in pump naïve children and adolescents with type 1 diabetes will result in greater CGM adherence and effectiveness compared to delaying CGM introduction by 6 months, and that this is related to greater readiness for making behaviour change at the time of pump initiation.
Genetic algorithms (GA) and artificial neural networks (ANN) are used to develop the model which allows estimating the behaviour of the adsorption heat pump.
These electrical 'landmarks' of the EPG waveform have been used to extract and quantify discrete aspects of pharyngeal behaviour, such as pump rate [13] and pump duration [13], [14].
