How to export results like "Transmission Loss" from the Harmonic Acoustics module?

pari

Hello,

I want to programmatically export this result as an image (.png or .jpg). Is there a way to do it?

I am able to export the curve as points, but not the image itself. When I use the "Image" button in Ansys, it creates an image of the model itself, instead of the Transmission Loss Curve.

Thank you!

pari

Hello Mike, thank you for the snippet. I havent tried that out, but in the meantime I tried to come up with a workaround using the Python After-post Command snippet :

1. I simply save the x-y data of the Transmission loss in a text file in the user_files folder,
2. I plot it using matplotlib and save the plot as a png file.
3. Using this approach I also have the possibility of customizing my plot a little bit (for example adding peaks etc.)

import os

def GetUserFileFolder(analysis):
  '''
    Return UserDir: path of the folder
  '''
  try:
    WorkDir = analysis.WorkingDir
    UserDir = os.path.dirname(WorkDir)
    for i in range(3):
      UserDir = os.path.dirname(UserDir)
    UserDir = os.path.join(UserDir, 'user_files')
    if not os.path.exists(UserDir):
      os.makedirs(UserDir)
    return UserDir
  except:
    ExtAPI.Log.WriteMessage("Error : Exception in GetUserFileFolder()")
    return None

def after_post(this, solution):# Do not edit this line
  import wbjn
  import context_menu
  import os
  import matplotlib.pyplot as plt
  import time
  import numpy as np
  from scipy.signal import find_peaks
   
  userFilePath = GetUserFileFolder(solution.Parent)
  tl_path = os.path.join(userFilePath, "tLoss_curve.txt")
  tl_curve = [x for x in solution.Children if x.Name == "Transmission Loss"][0]
   
  tl_curve.ExportToTextFile(tl_path)
   
  time.sleep(1)
   
  # Load the data from the CSV file
  data = np.genfromtxt(tl_path, skip_header=1)
   
  # Extract the frequency and transmission loss data from the CSV file
  freq = data[:,0]
  loss = data[:,1]
   
  # Detect the peaks in the transmission loss data
  peaks, _ = find_peaks(loss)
   
  # Plot only the peaks with their corresponding frequency and transmission loss values
  plt.plot(freq, loss, color='red')
  plt.plot(freq[peaks], loss[peaks], "o", markerfacecolor='red', markeredgecolor='black')
   
  for i in peaks:
    plt.text(freq[i], loss[i], f"({freq[i]:.0f}Hz, {loss[i]:.0f}dB)", fontsize=8)
   
  plt.xlabel('Frequency (Hz)')
  plt.ylabel('Transmission Loss (dB)')
  plt.title('Transmission Loss vs Frequency')
  # increase figure width
  fig = plt.gcf()
  plt.grid(True)
  fig.set_size_inches(15, 6) # 8 inches wide, 4 inches tall
   
  # save plot as png image
  plt.savefig(os.path.join(userFilePath, "tLoss_curve.png"))
  plt.show()

The default Ansys Result curve looks like this:

And my python code generates this image: