Teensy 4.1 Cortex-M7 Board Gets Marlin Firmware and OpenPnP Breakout Board

Teensy 4.0 and Teensy 4.1 are some of the most powerful microcontroller-class boards you’ll find on the market thanks to NXP i.MX RT1062 Arm Cortex-M7 crossover processor clocked at up to 600 MHz, and there won’t break the bank are PJRC sells those for $20 and up on their own store or Amazon.

If you’re into 3D printers, CNC, or pick-and-place machines, you’ll be glad to learn Teensy 4.1 board is the first Arm Cortex-M7 board to support Marlin 2.0 firmware, and a person nicknamed CrazzyFrenchDud is developing PeeNaPle breakout board for Teensy 4.1 to work with OpenPnP open-source software.

The initial commit to Marlin firmware was made on September 10 for both Teensy 4.0 and 4.1 boards, but the title was changed to Teensy 4.1 only since Teensy 4.0 is not supported at this time, and may not be suitable for many 3D printers due to a lack of pins.

Teensy 4.1 is much faster than existing boards support by Marlin firmware including EZBoard Lite with NXP LPC1769 Arm Cortex-M3 running at 120MHz and BigTreeTech SKR mini E3 control board based on STM32F407 ARM Cortex M4 running at 168 MHz. It’s unclear to me how the faster board may benefit 3D printer, but the extra performance may lead to more advanced robots powered by Marlin firmware.

PeeNaPle Rev 1.1

PeeNaPle board is open-source hardware with all design files released on Gitlab including KiCad schematics and GerBer files. While the board is mainly designed for pick-and-place machines using OpenPnP software, it could also be useful for 3D Printing, CNC and other Cartesian machines, and yes run Marlin firmware.

The 6-layer board includes 8x stepper outputs, 4x end_stops, an UEXT port, a USB hist port, an Ethernet port and a CAN FD bus. An adapter is being developed to let people use TMC2208/09 motor drivers, as well as a driver with closed loop capable of handling 10A. The board has a tolerance of up to 35V max power in and offers 12V, 5V/3A DCDC and 3.3V/1A.

The PeeNaPle breakout board will be available at the end of the year as a customisable kit with regular stepper motor driver adapters, high current stepper motor drivers with loop control, expansion boards etc… Crazzyfrenchdude also plans to organize a 10 boards giveaway on his Instagram account.

Thanks to Andreas for the tip.

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Crazzy French Dude
1 day ago

Hello guys CFD here, First I would like to thank JEAN-LUC AUFRANC (CNXSOFT) for this article on the PeeNaPle 1.1b which is now 1.4b Rev and almost good for the crowd, and also you guys for all the interest and love shown over the past months! I wanted to announce a new and cheaper board the PeeNaPl_Xtd to build as DIY based on the famous Teensy 4.1! As a Kit you will have the choice of 3D printing or Open PnP! The main board will be the common and basics needed for both worlds with the 5 main axis and… Read more »

DurandA
7 days ago

It would be a cool board to drive the Index PnP project (https://github.com/sphawes/index). Also the author has some awesome videos on how he is developing it: https://www.youtube.com/c/StephenTheRobot/

Theguyuk
Theguyuk
7 days ago

Shame you could not use a friendlyelec NanoPi Duo2 for such projects if speed and computing power is needed. Allwinner H3, Quad-core Cortex-A7 Up to 1.2GHz , got to help.

DurandA
7 days ago

I think you need a microcontroller for precise I/O timing for this kind of application.

dgp
dgp
5 days ago

>I think you need a microcontroller for precise I/O timing
>for this kind of application.

You need to be able to meet deadlines to make this work. I.e. if your “tool” is moving at X rate you need to be able to collect, process and correct within that time. It certainly isn’t impossible to do with a normal CPU running Linux but it’s a lot harder.

Linux CNC manages to do it: http://linuxcnc.org/

Hedda
Hedda
5 days ago

Also much easier to do if using closed looped stepping motors (stepping motor with closed loop feedback system) instead of open looped stepping motors and then the microcontroller controlling the stepping driver comes with the stepping motor itself. Here is a good video explaining the benifits for 3D-printers https://www.youtube.com/watch?v=eM8zSG8fEkk

Andreas
Andreas
6 days ago

CPU performance is not the same as MCU performance. The mentioned system require dedicated microprocessors and fast general processors.

Comedicles
Comedicles
5 days ago

The Duo2 is fine for this if it isn’t running Linux. At 1.2GHz and 4 ARM cores it can easily handle interupts as well or better than the Cortex M. It could also run FreeRTOS or the Real-Time Linux kernel. After all, these devices were designed to handle all the timing required by cell towers and VOIP with video. (And I’m pretty sure some people have compiled Marlin for these M4/M7 processors before this.)

Hedda
Hedda
5 days ago

NanoPi Duo2 has ARM Cortex-A7 CPU cores and no ARM Cortex-A series CPU core is supported by upstream Marlin Firmware yet in any case as different instruction set, however maybe you are thinking about the Klipper firmware for 3D-printers instead? https://www.reprap.org/wiki/Klipper Klipper does support running on normal ARM “application processor” like Cortex-A series CPU cores which then does most of the heavy lifting but Klipper still relies on you having a micro-controller to do the real-time work, however since the heavy lifting is done by the CPU you can use a much slower MCU. Klipper firmware is more flexible but also… Read more »

Jeroen
6 days ago

Great news, i have been waiting for teensy 4.1 support in marlin, this board also looks nice, but a bit over the top for reprap, i guess il just make a simple breakout board.

Andreas
Andreas
6 days ago

Please do consider sharing any designs as open source hardware even if plan on selling boards.

Andreas
Andreas
6 days ago

I like to see a simpler controller board for 3D-printers, with standard onboard stepper motor slots and mosfets, similar to BigTreeTech SKR boards, so no further breakout boards or RAMPS board is needed

David Willmore
David Willmore
6 days ago

How do you want it to differ from the SKR v1.3 or v1.4 boards?

Andreas
Andreas
5 days ago

Depending on how you see it I do not really want it to differ that much from the SKR v1.3 or v1.4 boards, I only like to see a BigTreeTech board with a powerful ARM Cortex-M7 SoC. That would really make it future proof in my mind. So lets just say I would like to see a BTT SKR v1.4 controller board with the same NXP i.MX RT1062 ARM Cortex-M7 SoC as the Teensy 4.x boards. It would also be very nice to have an onboard wired Ethernet port as Teensy 4.1 can have. Yes you can easily add Wi-Fi… Read more »

David Willmore
David Willmore
4 days ago

That would be a lot of over capacity. Given that 16MHz 8 bit micros mostly can handle things, a ~100MHz 32 bit processor is already quite a bit of overkill. Cranking that up 7x more seems unnecessary. Considering that the movement in the hobbiest 3d printing space is to move to programs like klipper where all of the advanced gcode parsing and mevement command generation is done on a general purpose processor (laptop, PC, SBC) and the microcontroller in the printer only handles the low level timing tasks, stuffing more processing into the printer seems unwise. I’ve moved a few… Read more »

Hedda
Hedda
3 days ago

Regardless it is not a huge difference in total BOM cost per considering that budget for i.MX RT series MCU SoCs running at 600MHz is something like $5 so great for marketing. You only have to pay a few bucks for are get a 7 times faster 3D printer controller board 😉 If people see two practially identical 3D printer controller boards for sale and one board cost $40 and have a 100MHz MCU and the other one has a 600MHz MCU and only cost 10% (~$5) more I think many would go with the one that is marketed as… Read more »

David Willmore
David Willmore
2 days ago

You’re over estimating the price of these controllers. The SKR v1.3 goes for under $20. Add in a $5 micro and the normal markup and you’ve bumped up the price by 50% for zero performance increase. I’ll say it again, the current 80-100MHz Cortex-M4 cores in these processors are already overkill for the job.

Willy
Willy
1 day ago

I tend to think that’s sufficient as well. One use case that requires a high frequency is laser raster mode where you sweep over the piece to be engraved by sending up to 1600 PWM pulses per second. This also means you need to parse and process 1600 command pairs made of “XxxxSsss\\n” each second. The 16MHz 328P on my board supports about 1/4 to 1/3 of that, but there is some lag that results in noticeable offsets between left->right and right->left moves (about half a pixel at 400px/s, or about 1.25 millisecond lag). This lag is unavoidable and is… Read more »

David Willmore
David Willmore
8 hours ago

The move from 16 MHz 8 bit to 70-100MHz 32 bit his huge–especially for parsing of commands. It’s more than the clock speed increase would imply. But, yes, I can see why that application would benefit from high speed processing. I’d also think that it would benefit greatly from a dedicated firmware made just for that kind of application. Is that what they do or do they just use Marlin?

Crazzy French Dude
12 seconds ago

Hi @Andrea, if anyone could provide me with a fanout footprint of the NXP i.MX RT1062 ARM Cortex-M7 I can design such board, might not be very cheap at first considering the number of layers needed but this could be a great project to collab on! We could fund it then release it!!! If anyone is interested please let me know! CFD

Hedda
Hedda
5 days ago

FYI, kursatu on GitHub is designing a Teensy 4.1 shield so it can be used with RAMPS boards
https://github.com/kursatu/Teensy4.1-ramps-shield

That shield will basically act as a converter adapter making it have same form-factor and pins as a Arduino Mega 2560

https://www.reprap.org/wiki/Category:RAMPS

This is a RAMPS boards are usually designed as shields for Arduino Mega 2560 so will fit RAMPS 1.x

RAMPS 1.6 (or RAMPS 1.5 for BIQU/BigTreeTech

RAMPS 1.4 RepRap open source hardware design

Theguyuk
Theguyuk
4 days ago

Someone never told these it is not possible to control CNC

https://hackaday.com/2018/05/15/direct-cnc-control-with-the-raspberry-pi/

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