Data Analysis
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Unknown macro: {toggle-cloak} Introduction">Unknown macro: {toggle-cloak} Introduction
Data taken from
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Equations
All data for tube flocculation is collected through Process Controller and saved in Excel spreadsheet. Both Meta Data in Excel and MathCad Data Processor are used to extract the sedimentation data from Excel spreadsheet and pick the range corresponded to the experimental settling state.
By extracting the data using Meta Data files, we were able to pick sets of settling data of interest and plot and analyze them individually or collectively to see any trends. We're proposing polynomial fit as an option to evaluate the data and error analysis algorithm is utilized to see which equations fit each datasets the best.
[Another datasets example] is also analyzed to determine which polynomial fit suits the best. From sum squared error analysis, the third and fourth degree of polynomial were found to be the best.[Another raw sedimentation data] was looked at different angle to get a better sense of parameters that actually effect the curve.
Data is normalized and Lineweaver-Burke data analysis was applied.
We were interested to find out how much the data fluctuates during settling in a given experiment if repeated several times and how this might impact our results.
Data is [linearized] using double reciprocal analysis and the equations can be viewed here.
Mathcad files
Unknown macro: {toggle-cloak} ResultsandDiscussions">Unknown macro: {toggle-cloak} Results and Discussions
- Data fluctuation shows that ...