Search Results (Searched for: )
- muddiver
- muddiver
Today 07:38
Replied by muddiver on topic Kommunikation mit Mesa 7i92 sehr instabil, Woran kann es liegen?
Kommunikation mit Mesa 7i92 sehr instabil, Woran kann es liegen?
Category: Deutsch
Good Morning together!
the switch to r8168 did the trick for me! Communication is running, i can not say how solid, but now i can start LinuxCNC without error, and the green LED keeps flashing. Thanks for your help!
Do you think i should stay on 2.9.10 as i am now , to keep my system running?
Or how often does LinuxCNC change the Kernel during updates?
I'm not keen on holding my breath after every update if the communication is broken..
Greets, Tom
the switch to r8168 did the trick for me! Communication is running, i can not say how solid, but now i can start LinuxCNC without error, and the green LED keeps flashing. Thanks for your help!
Do you think i should stay on 2.9.10 as i am now , to keep my system running?
Or how often does LinuxCNC change the Kernel during updates?
I'm not keen on holding my breath after every update if the communication is broken..
Greets, Tom
- cmorley
- cmorley
Yesterday 02:08
Replied by cmorley on topic Error in tool_offsetview.py
Error in tool_offsetview.py
Category: Qtvcp
Hey great! I pushed the file changes.
Thank you.
Thank you.
- tommylight

Yesterday 02:05
Replied by tommylight on topic EDM retrofit
EDM retrofit
Category: CNC Machines
1. I use Mesa for everything.
2. Not sure, but i think those are EXE something or another, and yes, LinuxCNC should work with them, from what i read here.
3. Yes, see Mesa THCAD
4. Guessing, stepper with current control should do, servos should also do, but for more info/ideas look for BAX EDM on youtube.
2. Not sure, but i think those are EXE something or another, and yes, LinuxCNC should work with them, from what i read here.
3. Yes, see Mesa THCAD
4. Guessing, stepper with current control should do, servos should also do, but for more info/ideas look for BAX EDM on youtube.
- tommylight

Yesterday 01:41
Replied by tommylight on topic Looking for consultant
Looking for consultant
Category: General LinuxCNC Questions
Todd, would be perfect for that, and he is in USA, IIRC.
- tommylight

Yesterday 01:20
Replied by tommylight on topic Anilam 1100 and Mesa 7i97t
Anilam 1100 and Mesa 7i97t
Category: Milling Machines
Seems like outputs, but, clean the chips and the board so we can see numbers and copper lines.
- tommylight

Yesterday 01:11
Replied by tommylight on topic Paid Consulting Opportunity
Paid Consulting Opportunity
Category: QtPyVCP
Not me, despite really needing the money, i never charge for any help here or when initiated from here, and i am of no use for Probe Basic, yet.
For other things related to LinuxCNC, i am here often and daily, so feel free to shoot questions here.
For other things related to LinuxCNC, i am here often and daily, so feel free to shoot questions here.
- Estley
- Estley
Yesterday 00:52
Replied by Estley on topic Probe Z offset
Probe Z offset
Category: QtPyVCP
Ah, it sounds pretty obvious once you think about it. Thanks!
- dang133
- dang133
Yesterday 23:56
Paid Consulting Opportunity was created by dang133
Paid Consulting Opportunity
Category: QtPyVCP
Hi everyone,
My team is using ProbeBasic / Linux CNC on a 5-axis CNC milling machine we are developing. We've got most everything up, but don't have the INI file for the machine working properly. To be specific, we're getting a lot of out of bounds and tool change errors. Many (most) of the example NGC files that come with LinuxCNC don't work. We fix one thing just to run into another blocker. We could use some paid help.
If you're interested, email This email address is being protected from spambots. You need JavaScript enabled to view it. with the following:
We'll get back you super soon.
Thanks so much!
My team is using ProbeBasic / Linux CNC on a 5-axis CNC milling machine we are developing. We've got most everything up, but don't have the INI file for the machine working properly. To be specific, we're getting a lot of out of bounds and tool change errors. Many (most) of the example NGC files that come with LinuxCNC don't work. We fix one thing just to run into another blocker. We could use some paid help.
If you're interested, email This email address is being protected from spambots. You need JavaScript enabled to view it. with the following:
- Your name / email / phone
- Resume (highlighting LinuxCNC work)
- Your general coding / management style
- What time zone you're in
- Your desired rate
We'll get back you super soon.
Thanks so much!
- rodw

Yesterday 23:42
Replied by rodw on topic Probe Z offset
Probe Z offset
Category: QtPyVCP
yeh, pretty sure its the same as qrdragon. Define your probe as a tool and record the height as you would any other tool, I used T99 for the probe.
- quark
- quark
Yesterday 23:34
Looking for consultant was created by quark
Looking for consultant
Category: General LinuxCNC Questions
Hi, I run a Wood manufacturing company. We currently have about eight routers. We have done a significant amount of customization of our current equipment and are looking to shift to Linux CNC and build several machines from the ground up in the next year including a feedthrough four axis machine, and a CNC lathe. I’m looking for a consultant to help guide us through this process. We have an engineering team in house. We are based in Utah. Proximity is nice, but not necessary. If you know somebody who might be a fit or would be interested yourself, I would love to hear from you.
- rodw

Yesterday 23:32
Replied by rodw on topic Industrielle Linux CNC 5achs Fräsmaschine
Industrielle Linux CNC 5achs Fräsmaschine
Category: General LinuxCNC Questions
Nonsense. ethercat drives whole factories. The advantages of ethercat remain regardless of the size of the machine. Ethercat should be a more efficient protocol than mesa hm2 so it should have more efficient bandwidth utilisation. Linuxcnc won't care if you use mesa or ethercatIn my opinion, Ethercat is a great solution for small machines that can use integrated drives.
I have mills where the individual axes are connected to the rest of the machine via a one patch cord and one power cord, and things like homing limit switches or other sensors are connected locally to additional drive inputs.
Such a machine is simple to wire and, in my opinion, more reliable.
However, if all the control is to be located in one cabinet and long and multi-core cables are to be run, Ethercat loses its advantages for now. It's just expensive and difficult to set up, and what's best about it becomes secondary...
- RLA
- RLA
Yesterday 22:56 - Yesterday 23:00
Replied by RLA on topic 5 axis tool offset
5 axis tool offset
Category: CAD CAM
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[/img]
- RLA
- RLA
Yesterday 21:57
Replied by RLA on topic 5 axis tool offset
5 axis tool offset
Category: CAD CAM
I am not sure if tcp will help here..see attached pic...maybe not clear but difference in green and yellow rectangle show difference between tool center and reusuting cut of a profile cutter where cutting edge is offset from center of tool..seems like b axis would need more z height to give correct cut on both sides of stock.
- Marlie013
- Marlie013
Yesterday 21:48
Replied by Marlie013 on topic Anilam 1100 and Mesa 7i97t
Anilam 1100 and Mesa 7i97t
Category: Milling Machines
- dbtayl
- dbtayl
Yesterday 21:19
Replied by dbtayl on topic Probe Z offset
Probe Z offset
Category: QtPyVCP
I don't know if Probe Basic does it differently, but the probe I use with the Axis UI is configured as a tool in the tool table. The length offset then gets applied like every other tool
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