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A digital twin is a digital representation of a real object that provides a detailed and accurate representation of the object's condition and composition. The digital twin can play an important role in a manufacturing company by providing a reliable basis for analyzing production equipment and products.
Fero Labs has developed software to help certain types of processmanufacturing plants improve quality output economically when given a random mix of feedstock. I wrote about the company last August— A Better Way to Control Process Quality. This, of course, is wasteful on the surface.
Image: Image'in/stock.adobe.com Victorian stonemasons and construction industries are adapting to the State Governments ban on the processing, manufacture, and supply of engineered stone. The post Paving a future free from engineered stone appeared first on Manufacturers' Monthly.
This includes installing vibration monitoring sensors on fans and motors, measuring fuel gas and exhaust flows, and analyzing exhaust gas composition. Most furnaces will have industrial temperature monitoring devices that can detect when temperature zones drift out of limits, but more sophisticated data capture is also feasible.
Photo Credit: Netzsch Process Intelligence GmbH The sensXPERT Digital Mold is a process control solution from Netzsch Process Intelligence GmbH to reach government and environmental sustainability practice goals in relation to resource-saving, circular plastics processing.
Robotics, computers, voice recognition software, virtual assistants, music composition, and chatbots, most recently including the infamous ChatGDP. An AI-powered ERP solution can therefore support manufacturers in making better decisions by providing real-time insights and data analytics.
Optimal composition allows for high-speed operation and premium strength capacity for a broad range of industrial equipment. Grainline is a family-owned business that makes mobile augers, rota doors and other grain harvesting equipment. The Molded-Oil series is available in spherical roller, deep groove ball, and tapered roller bearings.
Processmanufacturing, sensors are intersecting. Processmanufacturing industries have been developing new uses of such sensors steeped in AI and ML to measure the condition of assets and processes, including learning their explicit behavior from data streams gathered from sensors on and around machines.
The process lends itself to tooling, as industrial dies and moulds are often very large. The cold spray processmanufactures these large parts to near-shape, leaving only 5-10 per cent of machining needed, as opposed to machining tens or hundreds of kilograms of material away from a billet to produce a tool.
To facilitate these needs: Combustion engineering and modeling was done for the air/fuel and firing rate controls, based on the provided heater and burner data sheets and fuel gas composition data. Characterization curves and calculations were developed for implementation in the air/fuel and firing rate controls.
Set up a local integration center, i.e., factory acceptance test (FAT) lab, to convene equipment and everyone involved and determined ways to install additional panels.
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