Advice for representing experimental data

AI Thread Summary
The discussion centers on a beginner's challenges in effectively representing experimental velocity data from a gravity current experiment in fluid mechanics. The user has collected 128 velocity measurements from various sensors and seeks guidance on how to visualize and analyze this data meaningfully. Suggestions include considering the reconstruction of distance measurements and examining velocity profiles through graphical representations, such as 3D plots. Participants emphasize the importance of determining what information is most relevant for readers, including whether to focus on averages or variations across multiple experimental runs. Overall, the conversation highlights the need for clear visualization techniques to convey experimental findings effectively.
RobosaurusRex
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Hi all,

I have recently done my first experiment in fluid mechanics, and it was a gravity current experiment using UDVP. I have augmented the data, as to remove noise, and performed the statistical analysis.

I have text files which contain the velocities measured by each sensor over the time period measured for. So I have 128 velocities measured over a distance in front of the sensor for each node. (then for each run of the experiment)

I am struggling with how best to use this velocity data to show anything meaningful, I am a newbie to this and I need some advice.
Any hints will be great, I need some idea of where to start and then I am sure that I can run with ideas from there.
I want to reconstruct the distance measured over and then look at the velocity profiles, but I am unsure of how to do this. Cheers!
 
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RobosaurusRex said:
Hi all,

I have recently done my first experiment in fluid mechanics, and it was a gravity current experiment using UDVP. I have augmented the data, as to remove noise, and performed the statistical analysis.

I have text files which contain the velocities measured by each sensor over the time period measured for. So I have 128 velocities measured over a distance in front of the sensor for each node. (then for each run of the experiment)

I am struggling with how best to use this velocity data to show anything meaningful, I am a newbie to this and I need some advice.
Any hints will be great, I need some idea of where to start and then I am sure that I can run with ideas from there.
I want to reconstruct the distance measured over and then look at the velocity profiles, but I am unsure of how to do this.Cheers!
What were you measuring the fluid velocity as a function of? What were you varying in the experimental setup?
 
berkeman said:
What were you measuring the fluid velocity as a function of? What were you varying in the experimental setup?
I measured the velocity at different positions down the flume
 
Perhaps ask yourself what information would a typical reader be looking for?

Why were multiple runs of the experiment performed? Would the reader be interested in differences between runs or just the average of the runs?

RobosaurusRex said:
I measured the velocity at different positions down the flume

Down and across or just down? Exel can plot 3D graphs if necessary. So you could plot a graph with x and y as position and z as velocity perhaps. Bit like a contour map?

http://spreadsheetpage.com/graphics/tips/surface2.gif

Only you can decide what's important and what's irrelevant.
 
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