2,721 to 2,730 of 2,965 Results
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
MATLAB Data - 35.8 MB -
MD5: 730067a68f4e9d6d4ef8512ab6d6573d
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Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
JPEG Image - 725.2 KB -
MD5: 9603e6617b6153d53f3f567f115c81a3
Dimensionless mixing time n*t vs. stirrer Reynolds number |
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 7.0 KB -
MD5: 70c6144a36572b4400b1a4296cb29b9a
This function calculates circulation time and related statistics based on provided data. It iterates through each LSP's height data to determine circulation time per plane. It then calculates weighted averages and errors for both individual planes and overall circulation time. |
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 2.3 KB -
MD5: d474161af009e6d2bc7f86c90e516667
This function helps clearing selected variables from the workspace and is utilized in the code. Version: 16.09.2009, (c) Roland Pfister
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Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 9.6 KB -
MD5: 4c7fc321a50a9b4307c0753fe658abc7
The function calculates the edges of compartments in a system based on the
provided circulation and residence time data. It utilizes the ischange function to detect changes in the data indicating compartment boundaries.
The function handles data preprocessing, smoothing, and change detection to identify compartment edges. It also contains internal... |
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 4.1 KB -
MD5: a6d5f91e0406a638fa1f326ab71583ff
This function calculates the normalized sum-product average of the PDF over height, its associated error, and provides data for creating a shaded area in a plot to represent the uncertainty in the PDF over height. The function first normalizes the height data and bin spaces, and then computes the histogram for each column in the height matrix. It t... |
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 8.5 KB -
MD5: 8168abc8baf648322264b754f2ef1f44
The f_PDF_v_ax function calculates the probability density function (PDF) for the axial velocity distribution with a weighted average. Here's a detailed overall description of the function: The function takes a matrix dh_dt as input, where each column represents axial velocity data from a different mote (sensor), and each row represents a different... |
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 13.7 KB -
MD5: d4b1da5e8c964427c33c82c86f0716e8
This function navigates directory structures to read raw data and metadata from XML files, processes the data for different reactor speeds (RPM), and provides raw and smoothed interpolated data arrays for further analysis. For this purpose it utilizes two local functions.
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Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 5.8 KB -
MD5: 59658286eb756801d3a0e2fe7807eb51
This function performs regime analysis on LSP data to identify and analyze different flow regimes within a reactor, following a methodology similar to that used by Haringa et al. It processes compartment positions and types based on either circulation or residence time data, to calculate the Probability Density Function (PDF) of the regimes across... |
Apr 23, 2024 -
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Plain Text - 8.8 KB -
MD5: 72e0a125a24275493529ca35d7c122a7
This function calculates the distribution of vertical velocities (dh_dt) into respective bins based on height (h). It separates velocities into positive and negative components, computes their absolute values, and then calculates the weighted average of absolute, positive, and negative velocities for each bin. Additionally, it computes the uncertai... |