Giving Manufacturing Intelligence a Sense of Space With Physical AI
D uring the past decade, manufacturers have wired their plants with sensors, robots, and software. Yet many “AI-driven” systems still miss the mark.
D uring the past decade, manufacturers have wired their plants with sensors, robots, and software. Yet many “AI-driven” systems still miss the mark.
I grew up outside Pittsburgh, widely known as “Steel City.” Although the city is no longer the center of steel or heavy manufacturing in America, its past remains a proud part of its identity.
Digital calipers are one of the most common hand tools used on the shop floor. In a manufacturing plant, under a quality control system, these tools must be checked and calibrated regularly.
Schematic illustration of a membrane showing selective permeation of hydrogen (green) from a mixture of hydrogen and helium (blue) gases
Palladium is a key to jumpstarting a hydrogen-based energy economy. The silvery metal acts as a natural gatekeeper against every gas except hydrogen, which it readily allows through.
Test setup for additive manufacturing with IDS cameras U3-3040CP-C-HQ Rev.2.2 and U3-3990SE-M-GL Rev.1.2.
Powder bed-based laser melting of metals (PBF-LB/M) is a key technology in additive manufacturing that makes it possible to produce highly complex and high-performance metal components with customized material and functional properties.
Programmable controllers from Rockwell Automation
You’ve probably had the experience of visiting a contemporary factory floor and being amazed by all the incredible robots, sensors, and machines working like a finely choreographed dance. It’s quite remarkable—until there’s a malfunction.
ThermoVision, patented by Industrial Video Solutions and featuring FLIR IR cameras at its core.
Recent developments in thermal signature analytics have expanded the applications of thermal cameras beyond routine troubleshooting; they now contribute to paper machine control, energy usage benchmarking, wet streak detection, and the identification and prediction o
There’s a lot of talk about automation these days, not just in manufacturing circles but also the news in general.
This illustration featuring earthquake simulation data from the San Francisco Bay Area shows how seismic energy is shaped and directed by local geology, and how buildings and infrastructure respond to intense ground shaking.
Simulations still can’t predict precisely when an earthquake will happen. Still, with the incredible processing power of modern exascale supercomputers, they can now predict how they will happen and how much damage they will likely cause.
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