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The range of inclinations has been varied between −45 and +45°.
The device was tested across a range of inclinations to verify performance in sensing two axis tilt.
The range of inclinations ψ 1 achieved in the corresponding region R III - IV is π / 2 − γ 2 < ψ 1 ≤ π.
However, for a large range of inclinations studied (6° ⩽ γ ⩽ 60°) the extent of dispersion promoted by slugs of a given size has a similar value.
A simple model is described which predicts the liquid velocity at the inlet of the wakes; dispersion is well correlated with this velocity for the range of inclinations studied.
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An artificial neural network model was developed to predict convective heat transfer coefficient (HTC) during condensation of R134a in an inclined smooth tube for the entire range of inclination angles at different saturation temperatures and regardless of flow pattern.
The normal range of inclination is between 30 and 50° [9].
These results confirm the high ability of the ANNs for predicting the HTC values for the entire range of inclination angles and independent of the flow pattern.
For the artificial celestial bodies, the investigation is focused on the achievable range of inclination and height of the low lunar orbit (LLO).
Results show that the model studied is very well representing fast head movements in the whole range of inclination in the frontal plane.
This model is capable of predicting the transition boundary to dispersed bubble flow in various closed channels over the whole range of inclination angles.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com