• ​ #4 Project log

    TRAN.VINH.QUANG11/06/2024 at 02:37 0 comments

    From the first try, there were so many errors and it was too slow.

  • ​ #3 Project log

    TRAN.VINH.QUANG11/02/2024 at 16:28 0 comments

    I tested the first solution. I scanned all the lines in the sample gcode file named test-gcode.gcode. Each line will be separated into separate elements, those elements can be X or Y or Z coordinates or F speed and G1 or G0 code.

    Then load them into arrays containing the coordinates and position of that element.

    I continued to scan the lines in the gcode file, corresponding to each line I scanned the arrays obtained in the previous step to determine the coordinates, speed, G format of the point corresponding to the line being considered and the previous point.

    From there, calculate the distance between these two points, if it is smaller than the predetermined distance, for example 5mm, then proceed to reduce the speed. The value will be assigned to the current line and finally write all the scanned and changed lines to that gcode file.

    Finally, I have a new gcode file with the speed adjusted according to the distance. 

    import numpy as np
    
    lineCounter = 0
    
    with open('test-gcode.gcode','r') as file:  
    
      xlist=[0]
    
      xpos=[0]
    
      ylist=[0]
    
      ypos=[0]
    
      zlist=[0]
    
      zpos=[0]
    
      flist=[0]
    
      fpos=[0]
    
      glist=[0]
    
      gpos=[0]
    
      maxline = 0  
    
      firstpoint = [0,0,0,0,"G0"]          
    
      secondpoint = [0,0,0,0,"G0"]
    
      for num,line in enumerate(file):
    
        maxline = num
    
        line = line.rstrip()
    
        words = line.split()
    
        if words:
    
          if words[0] == 'G1':
    
            glist.append("G1")
    
            gpos.append(num+1)
    
            for i in range(len(words)):
    
              if words[i][0] == 'X':
    
                xlist.append(float(words[i].replace('X','')))
    
                xpos.append(num+1)
    
              if words[i][0] == 'Y':
    
                ylist.append(float(words[i].replace('Y','')))
    
                ypos.append(num+1)
    
              if words[i][0] == 'Z':
    
                zlist.append(float(words[i].replace('Z','')))
    
                zpos.append(num+1)
    
              if words[i][0] == 'F':
    
                flist.append(float(words[i].replace('F','')))
    
                fpos.append(num+1)
    
          if words[0] == 'G0':
    
            glist.append("G0")
    
            gpos.append(num+1)
    
            for i in range(len(words)):
    
              if words[i][0] == 'X':
    
                xlist.append(float(words[i].replace('X','')))
    
                xpos.append(num+1)
    
              if words[i][0] == 'Y':
    
                ylist.append(float(words[i].replace('Y','')))
    
                ypos.append(num+1)
    
              if words[i][0] == 'Z':
    
                zlist.append(float(words[i].replace('Z','')))
    
                zpos.append(num+1)
    
              if words[i][0] == 'F':
    
                flist.append(float(words[i].replace('F','')))
    
                fpos.append(num+1)  
    
    with open('test-gcode.gcode','r') as file2:
    
      lines2 = file2.readlines()  
    
    for j in range(maxline):  
    
      checkline = j
    
      if checkline == j:
    
        for i in range(len(xpos)):
    
          if xpos[i-1] < checkline and xpos[i] > checkline:
    
            firstpoint[0]=xlist[i-1]
    
            secondpoint[0]=xlist[i]
    
          elif xpos[i] == checkline:
    
            firstpoint[0]=xlist[i-1]
    
            secondpoint[0]=xlist[i]
    
        for i in range(len(ypos)):
    
          if ypos[i-1] < checkline and ypos[i] > checkline:
    
            firstpoint[1]=ylist[i-1]
    
            secondpoint[1]=ylist[i]
    
          elif ypos[i] == checkline:
    
            firstpoint[1]=ylist[i-1]
    
            secondpoint[1]=ylist[i]
    
        for i in range(len(zpos)):
    
          if zpos[i-1] < checkline and zpos[i] > checkline:
    
            firstpoint[2]=zlist[i-1]
    
            secondpoint[2]=zlist[i-1]
    
          elif zpos[i] == checkline:
    
            firstpoint[2]=zlist[i]
    
            secondpoint[2]=zlist[i]          
    
        for i in range(len(fpos)):
    
          if fpos[i-1] < checkline and fpos[i] > checkline:
    
            firstpoint[3]=flist[i-1]
    
            secondpoint[3]=flist[i]
    
          elif fpos[i] == checkline:
    
            firstpoint[3]=flist[i-1]
    
            secondpoint[3]=flist[i]
    
        for i in range(len(gpos)):
    
          if gpos[i-1] < checkline and gpos[i] > checkline:
    
            firstpoint[4]=glist[i-1]
    
            secondpoint[4]=glist[i]
    
          elif gpos[i] == checkline:
    
            firstpoint[4]=glist[i-1]
    
            secondpoint[4]=glist[i]
    
        p1 = np.array([firstpoint[0],firstpoint[1],firstpoint[2]])
    
        p2 = np.array([secondpoint[0],secondpoint[1],secondpoint[2]])
    
        squared_dist = np.sum((p1-p2)**2, axis=0)
    
        dist = np.sqrt(squared_dist)
    
        array_line = lines2[checkline-1].split()
    
        for i127 in range(len(array_line)):
    
          if array_line[0] == 'G0' or array_line[0] == 'G1':
    
            for i in range(len(array_line)):
    
              if array_line[i][0] == 'F':
    
                if dist < 5:
    
                  res = [sub.replace(array_line[i], "F"+str(float(array_line[i].replace("F",""))/2.5)) for sub...
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  • #2 Project log

    TRAN.VINH.QUANG11/01/2024 at 04:33 0 comments

    I created a gcode file from the previous 3d model and used visual studio to program the python program. Of course the first thing is to read the gcode file with the python program.

  • #1 Project log

    TRAN.VINH.QUANG10/24/2024 at 09:07 0 comments

    3d printers are prone to slipping when running at high speeds. The problem occurs when the travel distance is too short, however, slicing software has very limited speed customization.

    So I wrote a program that automatically adjusts the speed based on the distance traveled. I used python and started creating a 3d file to test.