We’ve recently got a look at how [Ken Shirriff] used an industrial CT scanner as a reverse engineering tool. The results were spectacular, with pictures that clearly showed the internal arrangement of parts that haven’t seen the light of day since the module was potted back in the 60s. And now, [Ken]’s cohort [Curious Marc] has dropped a video with more detail on the wonderful machine, plus deep dives into more Apollo-era hardware
If you liked seeing the stills [Ken] used to reverse engineer the obscure flip-flop module, you’re going to love seeing [Marc] using the Lumafield scanner’s 3D software to non-destructively examine several Apollo artifacts. First to enter the sample chamber of the CT scanner was a sealed module called the Central Timing Equipment, which served as the master clock for the Apollo Command Module. The box’s magnesium case proved to be no barrier to the CT scanner’s beam, and the 3D model that was built up from a series of 2D images was astonishingly detailed. The best part about the virtual models is the ability to slice through them in any plane — [Marc] used this feature to hunt down the clock’s quartz crystal. Continue reading “A Deeper Dive Into Reverse Engineering With A CT Scanner” →
The degree to which computed tomography has been a boon to medical science is hard to overstate. CT scans give doctors a look inside the body that gives far more information about the spatial relationship of structures than a plain X-ray can. And as it turns out, CT scans are pretty handy for reverse engineering mystery electronic modules, too.
The fact that the mystery module in question is from Apollo-era test hardware leaves little room for surprise that [Ken Shirriff] is the person behind this fascinating little project. You’ll recall that [Ken] recently radiographically reverse engineered a pluggable module of unknown nature, using plain X-ray images taken at different angles to determine that the undocumented Motorola module was stuffed full of discrete components that formed part of a square wave to sine wave converter.
The module for this project, a flip-flop from Motorola and in the same form factor, went into an industrial CT scanner from an outfit called Lumafield, where X-rays were taken from multiple angles. The images were reassembled into a three-dimensional view by the scanner’s software, which gave a stunningly clear view of the components embedded within the module’s epoxy body. The cordwood construction method is obvious, and it’s pretty easy to tell what each component is. The transistors are obvious, as are the capacitors and diodes. The resistors were a little more subtle, though — careful examination revealed that some are carbon composition, while others are carbon film. It’s even possible to pick out which diodes are Zeners.
The CT scan data, along with some more traditional probing for component values, let [Ken] reverse engineer the whole circuit, which turned out to be a little different than a regular J-K flip-flop. Getting a non-destructive look inside feels a little like sitting alongside the engineers who originally built these things, which is pretty cool.
It’s that time of year again — the 2022 Hackaday Prize has officially launched, and we’re excited to see what it turns out. This year’s theme is “Sustainability, Resilience, and Circularity,” and just in time, too; if the last couple of years has taught us anything, it’s that we’ve got a lot of failure points built into the systems that run our world. As broken as things are, it’s tempting to just curl up in a ball and pretend everything’s fine, but that’s not how hackers respond to adversity. We need to control what we can control, and there’s plenty of work to be done. From sustainable energy ideas to ways to reduce the amount of stuff we throw away, from breathing new life into old equipment to building communities that can take care of themselves, there’s plenty of work to be done. So get over to the Hackaday Prize page, check out the launch summit video if you need some inspiration, and get hacking. And hurry up — things are only going to get better if people like us make it happen.
Continue reading “Hackaday Links: April 3, 2022” →
Once you’ve built your own X-ray machine to take 2D images of the insides of stuff, there’s really only one logical next step: building your own computed tomography (CT) scanner to get 3D reconstructions instead. That’s exactly what [Fran Piernas] has done, and documented over on hackaday.io. While the original X-ray machine build dealt with scary hardware stuff such as high voltage and ionizing radiation, this time it’s the turn of scary mathematics like inverse radon transforms.
The original build, which we wrote about in December, uses a commercial dental X-ray tube and a home-made 65 kV power supply to send X-rays through objects. Transmitted X-rays are viewed using an intensifying screen that converts the rays to visible light. The result is a 2D image similar to that we’re all familiar with.
To create a 3D reconstruction of an object, you need a number of X-ray images taken from different angles. If you’ve ever been unlucky enough to need a medical CT scan, you’ll remember staying motionless in the tunnel while the X-ray apparatus rotated around you. In this build, [Fran] rotates the object instead, using a motor that may have once been part of a microwave oven (one of those “mystery motors” we all have laying around). The required sequence of images is simply obtained by recording video of the X-ray screen while the motor rotates the object.
Continue reading “DIY X-Ray Machine Becomes CT Scanner” →
Join us on Wednesday at noon Pacific time for the X-rays and high-voltage Hack Chat!
Fran Piernas likes to push the envelope a bit with projects that others might shy away from. A quick glance at his Hackaday.io profile reveals a few of the exciting projects he’s been working on recently, including a DIY X-ray machine and the high-voltage driver needed to run it. Not only that, he’s recently taken his home-brew X-ray rig to the next level – a computed tomography (CT) scanner. His YouTube channel also has some exciting stuff using potentially lethal voltages and ionizing radiation.
Please join us for this Hack Chat, in which we’ll cover:
- How one safely works with high voltage and ionizing radiation;
- Sourcing uncommon components like X-ray tubes;
- How Fran decided to start playing at the edge of the danger zone; and
- What sort of experiments he has in mind for the future.
You are, of course, encouraged to add your own questions to the discussion. You can do that by leaving a comment on the X-rays and high-voltage Hack Chat and we’ll put that in the queue for the Hack Chat discussion.
Our Hack Chats are live community events on the Hackaday.io Hack Chat group messaging. This week we’ll be sitting down on Wednesday, February 20, at noon, Pacific time. If time zones have got you down, we have a handy time zone converter.
Click that speech bubble to the right, and you’ll be taken directly to the Hack Chat group on Hackaday.io. You don’t have to wait until Wednesday; join whenever you want and you can see what the community is talking about.
If you’ve ever experienced the heartbreak of finding a seed in your supposedly seedless navel orange, you’ll be glad to hear that with a little work, you can protect yourself with an optical computed tomography scanner to peer inside that slice before popping it into your mouth.
We have to admit to reading this one with a skeptical eye at first. It’s not that we doubt that a DIY CT scanner is possible; after all, we’ve seen examples at least a couple of times before. The prominent DSLR mounted to the scanning chamber betrays the use of visible light rather than X-rays in this scanner — but really, X-ray is just another wavelength of light. If you choose optically translucent test subjects, the principles are all the same. [Jbumstead]’s optical CT scanner is therefore limited to peeking inside things like slices of tomatoes or oranges to look at the internal structure, which it does with impressive resolution.
This scanner also has a decided advantage over X-ray CT scanners in that it can image the outside of an object in the visible spectrum, which makes it a handy 3D-scanner in addition to its use in diagnosing Gummi Bear diseases. In either transmissive or reflective mode, the DSLR is fitted with a telecentric lens and has its shutter synchronized to the stepper-driven specimen stage. Scan images are sent to Matlab for reconstruction of CT scans or to Photoscan for 3D scans.
The results are impressive, although it’s arguably more useful as a scanner. Looking to turn a 3D-scan into a 3D-print? Photogrammetry is where it’s at.
Continue reading “Visible Light CT Scanner Does Double Duty” →