Patents And The Missing Museum

July 23, 2022 by Elliot Williams 38 Comments

A beautiful chapter of the history of invention in the United States ended with a fire in 1880. Well, the fire took place in 1877, but the wheels of government turn slowly. For the first 90 years that patents were granted in the USA, applications were required to be accompanied by a working model – to prove that the idea works and rule out “the perpetual motion cranks”.

During this time, the US Patent Office put all of these models on display, or at least as many of them as they could. The idea was that, alongside the printed documents, people would learn from seeing the inventions in the flesh. This tremendous resource got the Patent Office nicknamed the “Temple of Invention”, and rightly so. Many of the crucial innovations of the industrial revolution were there, in miniature. From Samuel Morse’s model telegraph, through Eli Whitney’s cotton gin, to more than a thousand inventions of Thomas Edison’s, working models were to be seen in the flesh, if in the small. We can only imagine how awe-inspiring it would have been to walk through those halls.

Two fires put significant dents in this tremendous collection. First in 1836, in a fire that consumed most of the approximately 10,000 patents that had been issued to that date, models and paper copies alike. Ironically, these included the patent for the first cast-iron fire hydrant. This fire was so devastating that it led to a dramatic patent reform in that same year, and to the building of a new fireproof Patent Office.

And the “new” Patent Office building still stands today, and proudly displayed patent models until the fire that broke out inside the building in 1877. (The contents of the building weren’t fireproof.) In this second fire, brave employees saved many of the works by staying and battling the fire from inside, but the second demoralizing beatdown, and the accelerating number of patent applications, it became obvious that there just wasn’t enough space to store a model of each patentable invention, and the requirement was dropped in 1880.

A small portion of the remaining patent models were put on display in one wing of the National Portrait Gallery, housed in the Patent Office building, and I had the wonderful opportunity to see it live in the early 2000s. I have no idea if the exhibit is still there – I’m guessing it’s not. The Smithsonian owns the lion’s share of the existing models, and we imagine they are in a warehouse somewhere, like at the end of Raiders of the Lost Ark.

A shame, because seeing a real 3D model of a thing is different from seeing line drawings. Maybe in the future, 3D CAD drawings will take their place? They’d be a lot easier to save in event of a fire.

Building A Better 3D Scanner With An IPhone, And Making Art

July 14, 2022 by Lewin Day 14 Comments

Apple’s FaceID system uses infrared depth-sensing technology to authenticate people via their faces. It can also be used for simple 3D scanning, and [Scott Yu-Jan] found a better way to do that.

The main problem with using an iPhone as a 3D scanner in this manner is that the sensor is built into the front side of the device. It’s great for scanning your own face, but if you’re trying to scan an object, you can no longer see the iPhone’s screen. [Scott] solved this problem by slapping together a handheld 3D printed device to hold the iPhone along with an external monitor. This allowed Scott to scan while still seeing what was going on.

Having noticed that some of the 3D scanning apps produced strange, glitchy results when scanning faces, [Scott] decided to innovate artistically. He employed [Andrea] to model, took some scans, and Photoshopped the results into some impressive posters.

Overall, [Scott] demonstrates that it’s relatively easy to repurposed the iPhone for improved 3D scanning. With a simple design, he has a handheld scanner that works way better than just the phone on its own. Alternatively, consider getting into photogrammetry instead.

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Using Statistics Instead Of Sensors

April 3, 2022 by Bryan Cockfield 9 Comments

Statistics often gets a bad rap in mathematics circles for being less than concrete at best, and being downright misleading at worst. While these sentiments might ring true for things like political polling, it hides the fact that statistical methods can be put to good use in engineering systems with fantastic results. [Mark Smith], for example, has been working on an espresso machine which can make the perfect shot of coffee, and turned to one of the tools in the statistics toolbox in order to solve a problem rather than adding another sensor to his complex coffee-brewing machine.

To make espresso, steam is generated which is then forced through finely ground coffee. [Mark] found that his espresso machine was often pouring too much or too little coffee, and in order to improve his machine’s accuracy in this area he turned to the linear regression parameter R², also known as the coefficient of determination. By using a machine learning algorithm tuned to this value, which assesses predictable variation in a data set, a computer can more easily tell when the coffee begins pouring out of the portafilter and into the espresso cup based on the pressure and water flow in the machine itself rather than using some other input such as the weight of the cup.

We have seen in the past how seriously [Mark] takes his coffee-making, and this is another step in a series of improvements he has made to his equipment. In this iteration, he has additionally produced a simulation in JupyterLab to better assist him in modeling the system and making even more accurate predictions. It’s quite a bit more effort than adding sensors, but since his espresso machine already included quite a bit of computing power it’s not too big a leap for him to make.

Online Tool Turns STLs Into 3D ASCII Art

January 22, 2022 by Dan Maloney 8 Comments

If you look hard enough, most of the projects we feature on these pages have some practical value. They may seem frivolous, but there’s usually something that compelled the hacker to commit time and effort to its doing. That doesn’t mean we don’t get our share of just-for-funsies projects, of course, which certainly describes this online 3D ASCII art generator.

But wait — maybe that’s not quite right. After all, [Andrew Sink] put a lot of time into the code for this, and for its predecessor, his automatic 3D low-poly generator. That project led to the current work, which like before takes an STL model as input, this time turning it into an ASCII art render. The character set used for shading the model is customizable; with the default set, the shading is surprisingly good, though. You can also swap to a black-on-white theme if you like, navigate around the model with the mouse, and even export the ASCII art as either a PNG or as a raw text file, no doubt suitable to send to your tractor-feed printer.

[Andrew]’s code, which is all up on GitHub, makes liberal use of the three.js library, so maybe stretching his 3D JavaScript skills is really the hidden practical aspect of this one. Not that it needs one — we think it’s cool just for the gee-whiz factor.

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3D Printed Model Roller Coaster Accurately Simulates The Real Thing

December 30, 2021 by Robin Kearey 11 Comments

While they don’t give the physical thrill of a real one, model roller coasters are always fun to watch. However, they actually make a poor analog of a full-sized ride, as gravitational force and aerodynamic drag don’t scale down in the same way, model roller coasters usually move way faster than the same design would in the real world. [Jon Mendenhall] fixed this deficiency by designing a model roller coaster that accurately simulates a full-sized ride.

The track and cart are all made of 3D printed pieces, which altogether took about 400 hours to print. The main trick to the system’s unique motion is that the cart is motorized: a brushless DC motor moves it along the track using a rack-and-pinion system. This means that technically this model isn’t a roller coaster, since the cart never makes a gravity-powered drop; it’s actually a small rack railway, powered by a lithium-ion battery carried on board the cart. An ESP32 drives the motor, receiving its commands through WiFi, while the complete setup is controlled by a Raspberry Pi that runs the cart through a predetermined sequence.

The design of the track was inspired by the Fury 325 roller coaster and simulated in NoLimits 2. [Jon] wrote his own software to generate all the pieces to be printed based on outputs from the simulator. This included all the track pieces as well as the large A-frames holding it up; some of these were too long to fit in [Jon]’s 3D printers and had to be built from smaller pieces. The physics simulation also provided the inputs to the controller in the form of a script that contains the proper speed and acceleration at each point along the track.

The end result looks rather slow compared to other model roller coasters, but actually feels realistic if you imagine yourself inside the cart. While it’s not the first 3D printed roller coaster we’ve seen, it’s probably the only one that accurately simulates the real thing. If you’re more interested in a roller coaster’s safety systems, we’ve featured them too.

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A functioning model of the Wunderwaffe DG-2 from Call of Duty: Zombies.

DIY Wunderwaffe And Others Make Up This Open-Source Arsenal

November 7, 2021 by Kristina Panos 17 Comments

Unless you stay up all night and have a dozen printers going, it’s probably way too late to make one of these beautiful prop weapons designed by [Andrew] of The Ray Gun Project in time for Halloween. Most of them are from Call of Duty: Zombies, though there is an awesome little disco grenade from Fortnite as well.

All of the projects are fantastic, but we chose to highlight the Wunderwaffe DG-2 from COD: Zombies because, well, vacuum tubes. For those unfamiliar with the ‘waffe’s operation, those vacuum tubes act as ammo magazines. Once they’re empty, you power them down with that big red switch and eject them one at a time with the lever, just like in the game.

Inside is a Feather M0 Express that runs the RGB LEDs and uses a Hall effect sensor to read magnets in the quick-change ammo magazine. You can see how it works in the demo video after the break.

There are BOMs for several of the prop weapons, along with assembly drawings and support forums for anyone who wants to build their own. Don’t feel like gathering all the bits and bobs yourself? [Andrew] is selling hardware packs for the ray gun, but you’ll have to scrounge the parts yourself if you want to build the Wunderwaffle.

Are you a Grinch who wants to keep kids off of your lawn? Scare ’em off with a giant NERF gun.

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Emulating A Power Grid

June 26, 2021 by Bryan Cockfield 23 Comments

The electric power grid, as it exists today, was designed about a century ago to accommodate large, dispersed power plants owned and controlled by the utilities themselves. At the time this seemed like a great idea, but as technology and society have progressed the power grid remains stubbornly rooted in this past. Efforts to modify it to accommodate solar and wind farms, electric cars, and other modern technology need to take great effort to work with the ancient grid setup, often requiring intricate modeling like this visual power grid emulator.

The model is known as LEGOS, the Lite Emulator of Grid Operations, and comes from researchers at RWTH Aachen University. Its goal is to simulate a modern power grid with various generation sources and loads such as homes, offices, or hospitals. It uses a DC circuit to simulate power flow, which is visualized with LEDs. The entire model is modular, so components can be added or subtracted easily to quickly show how the power flow changes as a result of modifications to the grid. There is also a robust automation layer to the entire project, allowing real-time data acquisition of the model to be gathered and analyzed using an open source cloud service called FIWARE.

In order to modernize the grid, simulations like these are needed to make sure there are no knock-on effects of adding or changing such a complex system in ways it was never intended to be changed. Researchers in Europe like the ones developing LEGOS are ahead of the curve, as smart grid technology continues to filter in to all areas of the modern electrical infrastructure. It could also find uses for modeling power grids in areas where changes to the grid can happen rapidly as a result of natural disasters.