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Fero Labs Redefines Trust in AI for Industrial Live Predictions

Gary Mintchell

Given that the feedstock has high variability as to the composition of the steel, the typical plant overdesigns the process to allow for variations. What if you accumulated the data (feedstock, process, finished steel) over time built a modern AI model? But, would anyone trust yet another advanced process control system?

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How Waste Robotics, Greyparrot are enhancing sorting robots

Robotics Business Review

Without gathering the data and analyzing it with AI ahead of robot implementation, MRFs lack visibility into waste flow composition. ” [Greyparrot] does all the analytics and process control. . ” [Greyparrot] does all the analytics and process control.

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A Better Way To Control Process Quality

Gary Mintchell

Anyway, operations cannot really know the composition of the feedstock going into the furnace. Fero Labs’ software allows input of composition analysis in real time such that operators know what might be necessary to add to that particular batch to make the steel to spec. I had a customer once who was in this market.

Six Sigma 130
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Markforged allows open access to 3D printing system for Australian industry

AU Manufacturing

American additive manufacturing company Markforged said it is cooperating with the Australian industry to advance the capabilities of additive manufacturing by granting public access to its composite 3D printer. The post Markforged allows open access to 3D printing system for Australian industry appeared first on Australian Manufacturing.

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In-Mold Sensor Technology Assists With Sustainability Goals

Mold Making Technology

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.

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ABB launches a new product, the Sensi+™ for natural gas quality monitoring for cleantech applications

Canadian Manufacturing

Natural gas pipeline operators have the critical task of managing their installed base of analyzers to ensure the necessary reliability, system integrity, and performance for their custody transfer*, emissions reduction, and process control applications.

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Junkosha Launches Custom Cable Solution for Sliding Components in Semiconductor Manufacturing at SEMICON Europa

i4.0 today

With wafers containing over 100 circuit layers, even small failure rates in a single process can have a large impact on the final product. This makes precise process control essential for companies that manufacture advanced semiconductors.