Great to hear that it's in.  Looking forward to using it.  

Just a couple of questions, have the necessary config changes to use it been 
added to the documentation? 
If someone doesn't make the ini changes will the old strategies still used then?


----- Original Message -----
From: "Sebastian Kuzminsky" <s...@highlab.com>
To: "Enhanced Machine Controller (EMC)" <emc-users@lists.sourceforge.net>
Sent: Wednesday, June 11, 2014 9:29:27 PM
Subject: [Emc-users] New trajectory planner merged into LinuxCNC's      
development branch

I'm pleased to announce that Robert Ellenberg's new trajectory planner
has been merged into LinuxCNC.  It is in the master branch, aka 2.7~pre,
what will become 2.7 later when it's released.  It will be part of build
v2.7.0-pre0-550-gd699a06 and later.  The new TP is not in 2.5 or 2.6,
those will keep working the same way they always have.

Robert's new trajectory planner improves LinuxCNC's ability to keep
machining speed up, while not violating the programmed feed rate or
machine velocity or acceleration constraints from the ini configuration.

Your G-code programs should still make the same parts as before, but
they should now adhere to the programmed feed rate more closely, and
thus cut better and run to completion more rapidly.  The old trajectory
planner would sometimes slow down more than it needed to, the new one
does a better job.


Many thanks to Robert Ellenberg for all the coding and debugging, and to
Sam Sokolik and others for relentless testing.


Brave users of the master branch!  Please keep an eye on your machines
and let us know if they misbehave in any way.  (And let us know if your
machines run better than before!)


-- 
Sebastian Kuzminsky

------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
_______________________________________________
Emc-users mailing list
Emc-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/emc-users

------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
_______________________________________________
Emc-users mailing list
Emc-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/emc-users

Reply via email to