Printed TS100 Case Beats The Heat With A Bearing

As we’ve said many times in the past, the creation of custom cases and enclosures is one of the best and most obvious applications for desktop 3D printing. When armed with even an entry-level printer, your projects will never again have to suffer through the indignity of getting hot glued into a nondescript plastic box. But if you’re printing with basic PLA, you need to be careful that nothing gets too hot inside.

Which was a problem when [Oleg Vint] started work on this 3D printed case for the popular TS100 soldering iron. But with the addition of a standard 608 bearing, the case provides a safe spot for the iron to cool off before it gets buttoned back up for storage. Of course, you can also use the flip-out perch to hold the iron while you’re working.

The bearing stand that served as inspiration for the case.

As [Oleg] explains on the Thingiverse page for the case, he actually blended a few existing projects together to arrive at the final design. Specifically, the idea of using the 608 bearing came from a printable TS100 stand originally designed in 2017 by [MightyNozzle]. Released under Creative Commons, [Oleg] was able to mash the bearing stand together with elements from several other printable TS100 cases to come up with his unique combined solution.

In a physical sense, this project is a great example of the sort of bespoke creations that are made possible by desktop 3D printing. But it’s also a testament to the incredible community that’s sprung up around this technology. While the logistics of it still could use some work, seeing hackers and makers swap and combine their designs like this is extremely inspiring.

[Thanks Arturo182]

Maybe One Of The Most Adorable Obstacle Avoiding Robots You’ve Seen

We’re all pretty well-acquainted with the obstacle avoiding robot. These little inventions use a proximity sensor to detect an object in front of the robot, then circumvent the object accordingly. Brown Dog Gadgets’ little robot really caught our eye, mostly because it’s kind of cute.

This little robot combines a few LEGO pieces, Arduino, and Brown Dog Gadgets’ own in-house invention, Crazy Circuits. The LEGO pieces make up the body of the robot, craftily enclosing a small portable battery pack used to power the bot. Brown Dog Gadgets uses another home-grown design, their robotics controller board, breaking out a few GPIO pins of an Arduino-compatible microcontroller into LEGO-compatible connections. This makes it easy to interface two of our favorite DIY STEM tools using a solderless connection.

Add a few LEGO wheels and a caster for pivoting and you’ve got a pretty simple, little robot. Fortunately, Brown Dog Gadgets was very thorough in their write-up, so head on over to their Instructable for all the details.

In the meantime, we’ve got a rich history of obstacle-avoiding robots here on Hackaday. Take a look around.

7-Segment Display Is No Small Feat

The 7-segment display certainly is a popular build, and surprisingly people still come up with new takes on this over a hundred-year-old way to represent numbers. This time [jegatheesan.soundarapandian] is making it big by building a giant 7 feet tall 7-segment display.

Apparently, the plan is to build a giant clock so he started off by making the first digit. To keep it cheap and simple the segments are made from corrugated cardboard which was carefully cut, folded, and then glued together. The light-diffusing lid is simply made from white paper. He used the ubiquitous WS2812B strips to light up the segments, but things turned out to be more complicated as he was not able to get enough strips to fill up all the segments. This forced him to cut up the strip into individual pieces and space them out by reconnecting the LEDs with wires. Cutting, stripping, and soldering 186 wires took him almost 10 hours. An Arduino Uno serves as the brains of the device and there is a nice Android app to control it via Bluetooth.

We are excited to see the complete clock once it is finished. In the meantime let us remember other epic displays like that made from 144 individual 7-segment displays or the giant LED video wall using 1200 ping pong balls.

Video after the break.

Continue reading “7-Segment Display Is No Small Feat”

SoftCore CPU Comparison

Monty Python once did a sketch where people tried to summarize Proust in fifteen seconds. Although summarizing eight FPGA-based CPUs is almost as daunting, [jaeblog] does a nice job of giving a quick sketch of how the CPUs work with the Xilinx Vivado toolchain and the Digilent Arty board.

The eight CPUs are:   VexRiscv, LEON3, PicoRV32, Neo430, ZPU, Microwatt, S1 Core, and Swerv EH1.

The comparison criteria were very practical: A C compiler (gcc or llvm) for each CPU and no CPUs that were tied to a particular FPGA. Two of the CPUs didn’t fit on the Arty board, so their comparisons are a bit more theoretical.  There were other considerations such as speed, documentation, debugging support, and others.

It was interesting to see the various CPUs ranging from some very mature processors to some new kids on the block, and while the evaluations were somewhat subjective, they seemed fair and representative of the things you’d look for yourself. You can also get the test code if you want to try things for yourself.

The winner? The post identifies three CPUs that were probably the top choices, although none were just perfect. Of course, your experience may vary.

If you want an easy introduction to adding things to a soft CPU, this RISC-V project is approachable. Or if you prefer SPARC, check out this project.

Learn The Secrets Of Matching Bottle Cap Threads To One Another

Do you want to design something to match existing threads on a bottle, or a cap? It turns out there’s an easier way than reaching tiredly for the calipers and channeling one’s inner reverse-engineer. Bottle cap threads — whose industry term is the neck finish — aren’t arbitrary things; they are highly standardized, and [Noupoi] researched it all so that you don’t have to! The Bottle Cap Thread Calculator takes a few key measurements and spits out everything needed to model exact matches. Need some guidance on how exactly to use the information the calculator spits out? There is a handy link to a Fusion360 tutorial on creating bottle threads (YouTube video) to demonstrate.

This all came from [Noupoi] wanting to model an adapter to transfer the contents of one bottle to another, smaller bottle. By identifying which thread was used on each bottle, the job of modeling a matching adapter was much easier. It turns out that the bottle necks were an SP 28-415 (larger) and a 24-415 (smaller), and with that information the adapter was far simpler to design. If you want to check the adapter out, it’s available on Thingiverse.

If truly reverse-engineering bottle threads is needed, here’s a method we covered that involves making a simple cast and working from that.

[via Reddit]

Life-Saving Surgery For A Telescopic Antenna

Whether it was as an impulsive youth or an impatient adult, there’s probably few among us who haven’t broken a telescopic antenna or two over the years. It doesn’t take much to put a bend in the thin walled tubing, and after that, all bets are off. So [The Amateur Engineer] couldn’t really be too upset when his son snapped the antenna off the transmitter of an old RC truck. Instead, he decided to take it apart and see how it could be repaired.

Taking a thin screwdriver to the antenna’s bottom most segment, he was able to widen up the opening enough to remove the upper sections as well as recover the broken piece and copper locking plates. He cut out the damaged area and drilled new holes for the pins on the copper plates to fit into. Inserting the repaired section back into the lowest segment was no problem, but he says it took a little trial and error before he was able to roll the edge over enough to keep the antenna from falling apart.

Buying a replacement would certainly have been easier, but as the radios in our devices have moved into the higher frequencies, these collapsible antennas have become a bit harder to come by. Modern RC vehicles operate on 2.4 GHz, so they don’t need the long antennas that the older 27 MHz systems utilized. [The Amateur Engineer] did find a few direct replacements online, but none for a price he was willing to pay.

We might have used the broken transmitter as an excuse to switch the RC vehicle over to WiFi control, but we appreciate [The Amateur Engineer] showing how this type of antenna can be disassembled and repaired if necessary.

Detect COVID-19 Symptoms Using Wearable Device And AI

A new study from West Virginia University (WVU) Rockefeller Neuroscience Institute (RNI) uses a wearable device and artificial intelligence (AI) to predict COVID-19 up to 3 days before symptoms occur. The study has been an impressive undertaking involving over 1000 health care workers and frontline workers in hospitals across New York, Philadelphia, Nashville, and other critical COVID-19 hotspots.

The implementation of the digital health platform uses a custom smartphone application coupled with an Ōura smart ring to monitor biometric signals such as respiration and temperature. The platform also assesses psychological, cognitive, and behavioral data through surveys administered through a smartphone application.

We know that wearables tend to suffer from a lack of accuracy, particularly during activity. However, the Ōura ring appears to take measurements while the user is very still, especially during sleep. This presents an advantage as the accuracy of wearable devices greatly improves when the user isn’t moving. RNI noted that the Ōura ring has been the most accurate device they have tested.

Given some of the early warning signals for COVID-19 are fever and respiratory distress, it would make sense that a device able to measure respiration and temperature could be used as an early detector of COVID-19. In fact, we’ve seen a few wearable device companies attempt much of what RNI is doing as well as a few DIY attempts. RNI’s study has probably been the most thorough work released so far, but we’re sure that many more are upcoming.

The initial phase of the study was deployed among healthcare and frontline workers but is now open to the general public. Meanwhile the National Basketball Association (NBA) is coordinating its re-opening efforts using Ōura’s technology.

We hope to see more results emerge from RNI’s very important work. Until then, stay safe Hackaday.