PIV analysis and Plotting

Code set using data from PIV experiments on 07-21-17
$U_\infty = 4.5 (400rpm)$
Data taken at 500Hz on 10 image loop at 1Hz
Laser Power = 14amps
Last updated: 09-12-17
Code Strucutre:

import libraries
run analysis codes
read in data
plot outer
plot inner



In [1]:

    
import pandas as pd
import numpy as np
import PIV as piv
import time_series as ts
import time
import sys
import h5py
from scipy.signal import medfilt
import matplotlib.pyplot as plt
import hotwire as hw
import imp
%matplotlib inline



In [2]:

    
# import functions to be run
imp.reload(ts)
imp.reload(piv)
imp.reload(hw)
%run 'air_prop.py'
%run 'piv_outer.py'
%run 'piv_readin.py'
%run 'piv_inner.py'



In [ ]:

    
## INITIAL CODE USED FOR READING IN
#Parameter set
date = '072117'
data_delimiter = '\t'
num_images = 10911
sizex = 128
sizey = 128
walloffset = 7.25 #mm
side_error = 5
#determine file name
file_name = dict()
for j in range(1, num_images+1):
    file_name[j] = '/B' + str('{0:05}'.format(j)) + '.txt'
#list name of data set folders
base_name = dict()
#List the base name for each test to be read in and analyzed, names taken directly from folder
base_name[0] = '/home/drummond/Local_files/FPF/test_072717/data/Cam_Date=170727_Time=103432_TR_SeqPIV_MP(2x16x16_50ov_ImgCorr)=unknown'

piv_readin(date, file_name, base_name, num_images, data_delimiter, sizex, sizey, walloffset, side_error)









    



Reading In: |█████████████████████████████████████████████████-| 100.0% Complete
Data Saved!



In [4]:

    
##Plot Outer Normalized Data##
date = '072117'
num_tests = 1
piv_outer(date, num_tests)



In [6]:

    
##Plot Inner Normalized Data##
date = '072117'
num_tests = 1
utau = .133
piv_inner(date, num_tests, utau)

conculsions

Mean data matches well with other experimental and DNS datasets
$u_{rms}$ falls on top of hot wire data, yet becomes noisy towards the top of the FOV
$v_{rms}$ has approriate shape and order of magnitude



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