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The relation of the rotating to the static time determines the resulting mean gravity value.
The RPM runs then for 1 h such that the mean gravity value can be stabilized.
The algorithm basically stops the RPM at a predefined position if the mean gravity value is smaller than desired and it continuous in random walk if the mean gravity value is larger.
As described below, we adjusted the distribution of the gravity vector in order to obtain a desired mean gravity value.
Since random walk reduces the mean gravity value towards zero, this algorithm interleaves the random walk with static phases, whereby the frames are stopped at one particular position.
In this study, we used the following three different algorithms: To achieve a particular mean gravity value, the local vector of one direction is enlarged by making the rotation velocity position dependent.
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Mean gravity values are computed for each set of 50 drops.
It is found that proposed mean gravity model provides temporal variation of mean gravity values at the centroid and thus matches with the reality.
Important data such as temperature, CO2 levels, and mean gravity values are monitored automatically.
Chemically activated T cells showed a decreased activation rate that correlates strongly to the decreasing simulated mean gravity values [ 9].
As a quality measure for the distribution of orientation we use the mean gravity over time, defined by (1) Here, the mean gravity values in the three directions are defined as follows: (2) If the pattern of random positions are chosen such that the earth vector spends more time in one particular area (considered in the local frame of the sample), partial gravity will result.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com