The Stockett Continuous-Motion Breech-Loading Mechanism is an elegant example of mechanical ingenuity. With a single turn of the crank, it completes the full sequence of breech rotation, translation, and pivot.
This YouTube video shows how the breech block moves smoothly through coordinated motion.
🌞 It's the summer solstice in the Northern Hemisphere — the perfect time to try a DIY physics experiment: Observing the Fraunhofer absorption lines of the Sun.
With the naked eye, you can clearly observe dark lines — these are the Fraunhofer absorption lines in the solar spectrum.
Mars orbits the Sun in 687 days, nearly twice Earth's 365-day orbital period. Mars' apparent retrograde motion occurs approximately every two years, when Earth catches and passes Mars.
I’ve used three-gpu-pathtracer by @gkjohnson.bsky.social to create an online demonstration featuring optical prisms. The result is mindblowing, accurately capturing the multiple reflections and refractions of real-world optical elements.
The Dove prism is an optical device that rotates an image by twice its rotation about the longitudinal axis, making it ideal for image rotation instruments.
This prism is key to the panoramic telescope, an optical instrument used in field artillery.
I own a 𝐑𝐮𝐧𝐝𝐛𝐥𝐢𝐜𝐤𝐟𝐞𝐫𝐧𝐫𝐨𝐡𝐫. Vasistas? It's a 𝗽𝗮𝗻𝗼𝗿𝗮𝗺𝗶𝗰 𝘁𝗲𝗹𝗲𝘀𝗰𝗼𝗽𝗲, in English terms.
At its core is a Dove prism, an optical element with the remarkable ability to rotate images at twice the rate of its own rotation around the longitudinal axis, making it ideal for image rotation applications.
Check out my latest LinkedIn article blending fine horology and mathematics—exploring how watchmakers ingeniously use gear ratios to approximate the Moon’s 29.530588-day synodic cycle.
The Frankford Arsenal Prism No. 7 is an optical device designed to maintain the correct orientation of an image, ensuring it is neither inverted nor reverted. Featuring a roof-like structure, this prism operates on principles similar to those of the Amici prism.
Get a taste of Machine Learning with this CodePen demo on Time Series Forecasting using TensorFlow.js 📈🤖
LSTM captures trends and seasonal patterns. Plateaued validation loss and a small train-validation gap suggest the model generalizes well despite mild overfitting.