90+ Videos Take You From Laser Chump To Laser Champ

Few of us document the progression of our side projects. For those who do, those docs have the chance at becoming a tome of insight, a spaceman’s “mission log” found on a faraway planet that can tell us how to tame an otherwise cruel and hostile world. With the arrival of the RDWorks Learning Lab Series, Chinese laser cutters have finally received the treatment of a thorough in-depth guide to bringing them into professional working order.

In two series, totalling just over 90 videos (and counting!) retired sheet-metal machinist [Russ] takes us on a grand tour of retrofitting, characterizing, and getting the most out of your recent Chinese laser cutter purchase.

Curious about laser physics? Look no further than part 2. Wonder how lens size affects power output? Have a go at part 39. Need a supplemental video for beam alignment? Check out part 31. For every undocumented quirk about these machines, [Russ] approaches each problem with the analytic discipline of a data-driven scientist, measuring and characterizing each quirk with his suite of tools and then engineering a solution to that quirk. In some cases, these are just minor screw adjustments. In other cases, [Russ] shows us his mechanical wizardry with a custom hardware solution (also usually laser cut). [Russ] also brings us the technical insight of a seasoned machinist, implementing classic machinist solutions like a pin table to produce parts that have a clean edge that doesn’t suffer from scatter laser marks from cutting parts on a conventional honeycomb bed.

Solid build logs are gems that are hard to come by, and [Russ’s] Chinese laser cutter introduction shines out as a reference that will stand the test of time. Don’t have the space for a laser cutter? For the micromachinists, have a look at The Guerrilla Guide to CNC Machining, Mold Making, and Resin Casting.

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Neural Network Keeps It Light

Neural networks ought to be very appealing to hackers. You can easily implement them in hardware or software and relatively simple networks can perform powerful functions. As the jobs we ask of neural networks get more complex, the networks require more artificial neurons. That’s why researchers are pursuing dense integrated neuron chips that could do for neural networks what integrated circuits did for conventional computers.

Researchers at Princeton have announced the first photonic neural network. We recently talked about how artificial neurons work in conventional hardware and software. The artificial neurons look for inputs to reach a threshold which causes them to “fire” and trigger inputs to other neurons.

To map this function to an optical device, the researchers created tiny circular waveguides in a silicon substrate. Light circulates in the waveguide and, when released, modulates the output of a laser. Each waveguide works with a specific wavelength of light. This allows multiple “inputs” (in the form of different wavelengths) to sum together to modulate the laser.

The team used a 49-node network to model a differential equation. The photonic system was nearly 2,000 times faster than other techniques. You can read the actual paper online if you are interested in more details.

There’s been a lot of work done lately on both neural networks and optical computing. Perhaps this fusion will advance both arts.

Compressed Air Levitation And The Coanda Effect

What do you want to levitate today? [Latheman666] uses his air compressor to make all kinds of stuff float in mid air. Light bulb, key chain, test tube, ball bearing, tomato… pretty neat trick to try in your shop.

It is interesting to see what physics explain this behavior. The objects do not float just because they are pushed upwards by the airflow, that would be an unstable equilibrium situation. Instead, they obtain lift in a very similar way as the wings of an airplane. Not all objects will levitate using this trick: the object has to be semi-spherical at the top.

[Applied Science] nicely shows this behavior by levitating a screwdriver first, then an identical object but with a flat top. The flat top screwdriver fails to levitate. The curvature provides the path for a smooth airflow, because of the Coanda effect, creating a zone of low pressure at the top, making the situation analogous to that of an airplane wing. Therefore, for this to work, you need an object with some kind of airfoil shaped surface. Another great demonstration is that of [NightHawkInLight], using a high speed camera.

A very impressive experiment that needs nothing more than an air compressor!, we are sure you will try it next time you work with one. For more on this topic of levitation with air streams, check the ping pong ball levitation machine.

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Ask Hackaday: Did Video Games Influence Your Career?

Apex Minecraft hosting recently held a scholarship competition. The person who sent in the best essay would win a $2,000 scholarship.  The winning essay starts, “Five years ago, at age 13, I built an entire computer from scratch. Assembled from basic components: wires, torches, repeaters, pistons, and blocks, it was capable of rendering images to a display, multiplying and dividing numbers, and even calculating square roots.” I  had to read it twice before it clicked that he was talking about a computer built entirely in a fictional universe.

It’s no wonder that he’s now a freshman at college, pursuing a degree in computer engineering. After reading this, I started to reminisce. The first computer I ever had access to was my mother’s laptop. It had an install of QBASIC on it, and I remember using it to make a few text based games. Later on when we got our first family computer I remember spending hours getting no better at video game programming using QBASIC.

It went on and on. I remember doing AI for video games in DarkBasic. I remember doing physics and collisions. Eventually I found my way to html, then php, to make websites about games (which are too terrible to share with you). So when the time came to program robots I was absolutely fearless. It just seemed like such a natural extension of what I already knew that it never occurred to me to be thankful for the time I spent trying to make my own simple little games until much later.

In the end I am still occasionally making little forays into game programming when I want to learn a new language or get back up to speed. It never occurred to me that perhaps this was just the way I’ve always learned a language.

Later on in the winner’s essay he goes on to describe his minecraft community. They taught new players. They taught themselves. They hung out and became friends. The writer gained a sense of self as a user of computers, a teacher of skills, a good member of a community, and a solver of problems. Unlike some of his classmates he won’t go to college and have to learn if he’s good enough. He’ll already know. All it took was a silly block based game.

Did any of you have seemingly frivolous endeavors show up as a foundation for your life and learning far into the future? Tell in the comments below how this ended up shaping your career.

3D Printed GoPro Toy Car Mount

There’s been a spate of YouTube videos of people strapping GoPro cameras onto things recently. [Ruiz] at [Adafruit] is looking to contribute to this trend with this tutorial on 3D printing a GoPro Session toy car mount. The entire toy car mount is 3D printed, except for the axles, which are made of the unprinted filament with melted ends to hold the wheels in place.

The part of the mount that fits around the camera is printed in a flexible filament (think Ninjaflex), so it holds on tightly to the GoPro and can be used as a bumper as well. The car that fits into the base of the camera sleeve is designed to run on Hot Wheels track so that you can lay out your shots and keep the subject in frame. It’s a neat design that could be useful for creating an interesting point of view in a video.

If you have hotwheel, a GoPro (or other tiny camera), and 3D printer this is the project that will get you through the holiday without the kids driving you crazy. Good luck dear hackers.

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Open Source Pancakes

It is definitely a first world problem: What do you do when creating a custom pancake requires you to put a design on an SD card and plug it into your pancake printer? This is what was nagging at [drtorq]. Granted, since he works for a publication called “The Stack” maybe a pancake printer isn’t so surprising. [drtorq] built the custom PancakeBOT software on Linux as a start to his hacking on the flapjack creating robot.

[drtorq] promises more hacking on the printer in the future, so this is just step one. We expect the mods will be a lot like a typical 3D printer, except the heated bed is absolutely necessary on this model. The printer is more like a CNC engraver than a 3D printer since it is basically an XY carriage with a nozzle that flows batter instead of polymer.

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ZX81 Connects To The Network

 

[Victor Trucco] makes us wish we spoke Portuguese. He’s done a lot of retrocomputing projects including connecting a ZX81 to the Internet to load programs. The project uses — what else — an ESP8266 to get the WiFi communications. You can see a video below if you want to exercise your high school Portuguese.

It is somewhat ironic that the ZX81’s CPU is kept busy driving the video, reading the keyboard, and running about just over 3 MHz which doesn’t even translate into 3 MIPS on that processor. Meanwhile, the “servant” ESP8266 has a 32-bit Tensilica CPU running at 80 MHz. Times have changed.

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