HAWT Wind Turbine Is Mostly 3D Printed

Wind turbines are a great source of renewable energy, and a great DIY project, too. They can be built with all kinds of materials and the barrier for entry is low for the beginner. [Fab] has built just such a device, taking advantage of modern construction techniques, and dubbed it the WinDIY.

The WinDIY design is mostly 3D printed, with a familiar three-bladed design. The diameter of the rotor is 1.2 m, meaning that braking and regulating the turbine is required for safety in high winds. [Fab] is aiming to achieve this control with a combination of mechanical and electronic braking, as well as variable-pitch blades. The benefit of 3D printing the design is it allows iterations to be made quickly, particularly of parts with complex geometries that would be too time-consuming or expensive to machine otherwise.

[Fab]’s writeup goes into great detail on topics like the design of the pitch control systems and other minutae, which should serve as a great reference for anyone else working on a similar project. If you’re looking for something with more of a sci-fi future vibe, consider attempting a vertical-axis build instead.

Generate Positivity With Machine Learning

Gesture recognition and machine learning are getting a lot of air time these days, as people understand them more and begin to develop methods to implement them on many different platforms. Of course this allows easier access to people who can make use of the new tools beyond strictly academic or business environments. For example, rollerblading down the streets of Atlanta with a gesture-recognizing, streaming TV that [nate.damen] wears over his head.

He’s known as [atltvhead] and the TV he wears has a functional LED screen on the front. The whole setup reminds us a little of Deep Thought. The screen can display various animations which are controlled through Twitch chat as he streams his journeys around town. He wanted to add a little more interaction to the animations though and simplify his user interface, so he set up a gesture-sensing sleeve which can augment the animations based on how he’s moving his arm. He uses an Arduino in the arm sensor as well as a Raspberry Pi in the backpack to tie it all together, and he goes deep in the weeds explaining how to use Tensorflow to recognize the gestures. The video linked below shows a lot of his training runs for the machine learning system he used as well.

[nate.damen] didn’t stop at the cheerful TV head either. He also wears a backpack that displays uplifting messages to people as he passes them by on his rollerblades, not wanting to leave out those who don’t get to see him coming. We think this is a great uplifting project, and the amount of work that went into getting the gesture recognition machine learning algorithm right is impressive on its own. If you’re new to Tensorflow, though, we have featured some projects that can do reliable object recognition using little more than a Raspberry Pi and a camera.

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Illegal Blast Fishing Detector Is All Ears

Blast fishing — the act of using explosives underwater to kill entire schools of fish with shock waves — has been a widespread problem in the Philippines for decades. Although a few fishermen get rich from the first blast at a fresh site, it isn’t good for anyone in the long term, especially the coral and other sea life. Many blast fisherman use homemade explosives, often at the risk of losing fingers and limbs.

The local authorities have tried many tactics to deter the activity. Where education about the diminishing returns of blast fishing has failed, appeals to religion with strategically placed statuary of the Virgin Mary have been somewhat successful. [Ifthekar ahammad] has another idea, and it involves detecting the explosion, triangulating the position of the blast, and reporting it to the authorities as soon as possible.

The CBobby system works by analyzing the audio spectrum. It looks for transient changes from the ambient background noise levels, and analyzes duration and the frequencies it heard to decide whether there was an explosion or not. Plans to field test this in the Philippines have been dashed by the pandemic, but [ifthekar] has been hard at work testing in Germany with underwater speakers blasting out explosion noises. Already, the system can differentiate the blasts from various environmental sounds like ships, the bellows of large sea creatures, earthquakes, rain, and thunder.

Although the test rig is encased in neon orange acrylic, the actual blast fishing tattler will be disguised as a venomous stonefish, making it as appealing to mess with as fire ants or wasps.

Destructive blast fishing is all-around terrible, even though it’s done for survival. But what do we think of using drones to fish for sport?

MenoPlay Through The Pain Of Menopause

Menopause, that fireworks finale of fertility, is like a second puberty that works in reverse. At least, that’s what we hear. Along with mood swings and acne, there are new joys like hot flashes that make you want to jump naked into the nearest snowdrift, or at least put your head in the freezer for a while. Sounds great; can’t wait.

The biggest problem with menopause is that it gives suffers pause when it comes to getting help. This is natural, they think. There’s nothing I can do but ride it out. Those who do seek relief are likely to find expensive products that only treat single symptoms. This dearth of solutions inspired [Moinak Ghosh] to create one system to rule them all, a wearable with a suite of sensors that’s designed to take the pause out of menopause.

MenoPlay will take temperature readings at the neck and pelvis and switch on a Peltier module worn on the back of the neck when it senses a hot flash in progress. Exercise is a natural defense against hormonal imbalance, but step counters are too easy to cheat or ignore. The MenoPlay system will model the user’s movements using 9DoF accelerometers and suggest exercises that fill in the gaps.

We particularly like the automation aspect of this wearable. After decades of manually tracking menstrual cycles and everything that implies, the idea of so much useful biological data being collected automatically and fed over BLE to a NodeRed application sounds wonderful.

Hot flashes may not feel useful internally, but would do a fine job of powering the right kind of flashlight.

Let’s Take A Closer Look At This Robotic Airship

It’s not a balloon, however shiny its exterior may seem. This miniature indoor robotic airship created by the University of Auckland mechanical engineering research group [New Dexterity] is an asymmetric system experimenting with the possibilities of an open-source helium-based airship.

Why a helium airship, as opposed to a fixed wing aircraft? The group wanted to experiment with the advantages of lighter-than-air (LTA) travel, namely the higher mobility and looser path planning constraints. Furthermore, LTA airships have a less obstructed field of vision and fewer locomotion issues. While unmanned aerial vehicles (UAV) may be capable of hovering in one place, their lift is generated by rotor thrust, which drains their batteries quickly in the order of minutes. LTA airships can hover for longer periods of time.

The design was created for educational and research purposes, focusing on the financial feasibility of manufacturing the platform, the environmental impact of the materials, and the helium loss through the balloon-like envelope. By measuring these parameters, the researchers are able to study the effects of circumstances such as the cost of indoor commercial balloons and the mechanical properties of balloon materials.

The airship gondola was designed and 3D printed in a modular fashion, then attached to the envelope with Velcro. The placement with respect to the horizontal symmetry of the gondola was done for flight stability, with several configurations tested for the side rotor angle.

The group open-sourced their CAD files and ROS interface for controlling the airship. They primarily use off-the-shelf components such as Raspberry Pi boards, propellers, a DC single brushed motor driver carrier, and LiPo batteries for a total cost of $90 for the platform, with an addition $20 for the balloon and initial helium filling. The price is comparable to the cost of indoor blimps like the Blimpduino 2.0.

You can check out the completed airship below, where the team demonstrates its path following capabilities based on a carrot chasing path finding algorithm. And if you’re interested in learning more about the gotchas of building lighter-than-air vehicles, check out [Sophi Kravitz’s] blimp talk from Hackaday Belgrade.

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Model Hydroelectric Plant Is An Illuminating Educational Tool

There’s more than one way to light up a strip of LEDs. Have you tried building your own hydroelectric power plant to do it? Well, now you can. Replicating [Matic Markovič]’s entry into the 2020 Hackaday Prize is bound to teach you something, if not many things, about the way hydroelectric power is generated and the way the variables play into it.

In [Matic]’s model, water from an adjustable-height reservoir flows into a 3D-printed Pelton turbine. The water jet hits the turbine’s cupped fins at a 90° angle, causing the assembly to spin around rapidly. This mechanical energy charges a brushless DC motor that’s connected to an Arduino Nano, which rectifies the AC from the generator and uses it to light up an RGB strip like an equalizer display that represents the power being generated.

This is easily one of the coolest educational displays we’ve ever seen. The reservoir can move up and down over a 55 cm (21.6″) range with the flick of a three-way toggle, which makes it easy to see that the higher the reservoir, the more power is generated. [Matic] has the STLs and INOs in the usual places if you want to make your own. Flow past the break for a demonstration, followed by an exploded render that gets put back together by invisible hands.

Your hydroelectric setup doesn’t need to be fancy, it just needs to work. One man’s trash can be another man’s off-grid phone charger.

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This Soap Dispenser Will Crush Your Germs

When it comes to cleaning your hands, [Arnov Sharma] is not messing around. He built an automatic soap dispenser using ultrasonic sensors, a stepper motor for activating the pump, and 3D printed components for housing a bottle of soap – a spectacular display of over-engineering. At least he won’t be needing to stand in line at the supermarket for motion detection soap dispensers anytime soon.

Initially, he had the idea to build the dispenser using a common servo motor-based method.  This would involve activating motors to push down on the plunger for the soap bottle to dispense soap. Instead, he for a different approach that ended up being fairly straightforward in theory, although the execution is pretty involved.

Model of the soap dispenser made in Fusion 360

He started off by 3D printing the compartment where the soap bottle would sit and the structural support for the Z-axis rail that would be pushing down on the soap bottle. It’s similar to the type of linear actuator you might find in a 3D printer or PCB mill, where a motor controls a rotating screw that moves the carriage across a belt. (We presume the linear rail came first, and the ultrasonic soap dispenser second.)

In this build, there are two additional rods added to help support the lever pressing down on the soap dispenser.

The setup is controlled by an Arduino, which triggers the movement from the linear actuator if it receives a signal from an ultrasonic sensor. He’s added the model files and Arduino code for other makers curious about building a similar project. Check out his video for the soap dispenser in action – the stepper motor definitely makes for a much more powerful plunge than you might expect.

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