3D printers are prone to slipping when running at high speeds. The problem occurs when the travel distance is too short, however, the slicing software has a very limited ability to adjust the speed according to the travel distance.
So I wrote a program that automatically adjusts the speed based on the travel distance.
Ok, after a couple of tests, I figured out a way to speed up the process. Previously, this program created the new G-code too slowly. The program runs in Visual Studio and is used with Repetier-Host.
First, slice your model in Repetier-Host using CuraEngine, then save the G-code file — let's say, "base-gcode.gcode" for example. Open it with Notepad or any text editor you have, copy all the content, and paste it into a file named "test-gcode.gcode". Then, run the Python program.
After a few seconds, you'll get a new file called "new-gcode.gcode". Open it in Repetier-Host and increase the feedrate to the maximum. For me, I use 300 for maximum speed.
Since DIY 3D printers use a heavy axis structure, this program helps increase both the speed and the print quality. However, this is still just a proof of concept. Even though it works, it’s still a bit complex to run. I plan to make an executable (.exe) version in the future.
"""
* The MIT License (MIT)
* Copyright (c) 2025 by TRAN VINH QUANG
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
"""import numpy as np
with open('test-gcode.gcode','r') as file, open("new-gcode.gcode", "w+") as newgcode:
firstpoint = [0,0,0,0,0,"G0"]
secondpoint = [0,0,0,0,0,"G0"]
line = file.readlines()
ptr1 = 1
ptr2 = 1
ptr3 = 1
ptr4 = 1
ptr5 = 1
ptr6 = 1
ptr7 = 1
speedv1 = 2.0
distv1 = 3.0for i in range(len(line)):
words2 = line[i].split()
firstpoint[0] = secondpoint[0]
firstpoint[1] = secondpoint[1]
firstpoint[2] = secondpoint[2]
firstpoint[3] = secondpoint[3]
firstpoint[4] = secondpoint[4]
if words2:
ptr1 += 1if words2[0] == 'G1'or words2[0] == 'G0':
ptr2 += 1for j in range(len(words2)):
if words2[j][0] == 'X':
secondpoint[0] = float(words2[j].replace('X',''))
if words2[j][0] == 'Y':
secondpoint[1] = float(words2[j].replace('Y',''))
if words2[j][0] == 'Z':
secondpoint[2] = float(words2[j].replace('Z',''))
if words2[j][0] == 'F':
secondpoint[3] = float(words2[j].replace('F',''))
if words2[j][0] == 'E':
secondpoint[4] = float(words2[j].replace('E',''))
secondpoint[5] = words2[0]
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)
if words2[j][0] == 'F':
if dist <= distv1:
res = [sub.replace(words2[j], "dF"+str(float(words2[j].replace("F",""))/speedv1)) for sub in words2]
line[i] = ' '.join(res)+"\n"
ptr3 += 1else:
ptr4 += 1else:
ptr5 += 1if dist <= distv1:
if words2[j][0] == 'F':
res = [sub.replace(words2[0], words2[0]+" F"+str(float(words2[0].replace("F",""))/speedv1)) for sub in words2]
line[i] = ' '.join(res)+"\n"else:
if words2[1][0] == 'F':
res = [sub.replace(words2[1], "F"+str(secondpoint[3]/speedv1) ) for sub in words2]
line[i] = ' '.join(res)+"\n"else:
res = [sub.replace(words2[1], "F"+str(secondpoint[3]/speedv1) +" "+ words2[1]) for sub in words2]
line[i] = ' '.join(res)+...
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 = 0with 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 inenumerate(file):
maxline = num
line = line.rstrip()
words = line.split()
if words:
if words[0] == 'G1':
glist.append("G1")
gpos.append(num+1)
for i inrange(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 inrange(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 inrange(maxline):
checkline = j
if checkline == j:
for i inrange(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 inrange(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 inrange(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 inrange(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 inrange(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 inrange(len(array_line)):
if array_line[0] == 'G0' or array_line[0] == 'G1':
for i inrange(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...
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.
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.