Skip to main content

Reprap Firmware comparison, smoother prints

I've been running Sprinter on a RAMPS 1.4 control board for my MendelMax since I built it a few weeks ago. This is the most common firmware in use, with the most community support. However there are other firmware options that are faster and more cutting edge, at the expense of having more bugs and a smaller user base. Today I switched to Marlin because I read that it handles acceleration between moves more smoothly, and can draw smooth arcs as well (a much more experimental feature).



I chose this funnel as my test print because the cone and cylinders comprising it cover a range of arc sizes.

On the left we have a print with Sprinter. There is a strong ridge at the layer change point near the left side, and additional ridges on every edge around the model. This print took about 40 minutes.

In the middle is the exact same gcode run by Marlin. The edge ridges are gone, but the layer change ridge is more pronounced, especially on the cylinder at the top. This is much closer to what the original model looks like.

On the right is Marlin with arc gcodes produced by Slic3r. It looks through the model for series of points that look like arcs and replaces them with arcs. This produces an exceptionally smooth model everywhere except for the layer change ridge. There was a mostly unrelated print failure around 70% of the way up, everything above that should be ignored for the purpose of this comparison.


This has been an educational experience. I've learned how to begin configuring a new firmware (Marlin has a LOT more functionality with regards to runtime configuration), and I got a print quality increase as well. Switching away from Sprinter is not for the faint of heart, but I'd advise everyone to try it at least once.


PS: The latter two prints produced progressively less vibration in my printer as well, which should allow me to greatly increase my print speed in the near future

Comments

Popular posts from this blog

A Capacitive-Touch Janko Keyboard: What I Did at the 2017 Georgia Tech Moog Hackathon

Last weekend (February 10-12, 2017) I made a Janko-layout capacitive-touch keyboard for the Moog Werkstatt at the Georgia Tech Moog Hackathon. The day after (Monday the 13th), I made this short video of the keyboard being played: "Capacitive Touch Janko Keyboard for Moog Werkstatt" (Text from the video doobly doo) This is a Janko-layout touch keyboard I made at the 2017 Moog Hackathon at Georgia Tech, February 10-12. I'm playing a few classic bass and melody lines from popular and classic tunes. I only have one octave (13 notes) connected so far. The capacitive touch sensors use MPR121 capacitive-touch chips, on breakout boards from Adafruit (Moog Hackathon sponsor Sparkfun makes a similar board for the same chip). The example code from Adafruit was modified to read four boards (using the Adafruit library and making four sensor objects and initializing each to one of the four I2C addresses is remarkably easy for anyone with moderate familiarity with C++), and

Freesiders Hackers Collaborate in Medical / Surgical Research

Published in the May issue of the Journal of Foot and Ankle Surgery : " A Novel Combination of Printed 3-Dimensional Anatomic Templates and Computer-assisted Surgical Simulation for Virtual Preoperative Planning in Charcot Foot Reconstruction ." This collaboration of specialties represents an undertaking by members of Freeside Atlanta , Southern Arizona Limb Salvage Alliance , and The Podiatry Institute .  Charcot foot reconstruction remains on of the most challenging procedures in foot and ankle surgery.  These procedures are often lengthy procedures which can be riddled with complications. With the help of Freeside Atlanta Members, institutional researchers used open source Osirix Image viewer and 3D Software such as Newtek's Lightwave or Blender to create simulated surgical reductions as well as 3D printed templates.  Freeside Atlanta members assisted in providing 3D printing solutions and know-how to the project. Experimental test prints were done on a M

Onboard Firmware of the Human Brain

Freesiders are continually tinkering with robotics and other such machinery .  Many of these embedded processors and firmware are becoming open source and every-more diversified in the wake of the modern Maker movement . One notable boost to the hackerspace arsenal is the Arduino (an like platforms).  This offers designers an incredible power to devise not just individual devices but even the emergence of complex, integrated systems . This evolutionary pace of modern technological systems may be significantly faster the biologic system development, but there may be a few well learned tricks yet to be mastered.  It seems that studying how nature has managed to solve many development challenges will aid in designing robotics, where efficiently counts just as much. One  challenge, that is particularly interesting, is data processing.  Artificial intelligence is labored with processing data and producing a meaningful and useful output.  When considering the increase in sensory