Remove Composites Remove Manufacturing Remove Process manufacturing
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Fero Labs Redefines Trust in AI for Industrial Live Predictions

Gary Mintchell

Fero Labs has developed software to help certain types of process manufacturing 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. She suggested that I talk with Berk Birand, Fero Labs Co-founder and CEO. And, I did.

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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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Should you be looking for AI in an ERP?

AU Manufacturing

Robotics, computers, voice recognition software, virtual assistants, music composition, and chatbots, most recently including the infamous ChatGDP. Processes like inventory management, procurement, and production planning can therefore be systematised by an AI-powered ERP system to drive growth, mitigate risk, and optimize costs.

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Worth the wheat: upgrade solution for grain processing OEM

Manufacturer's Monthly

Optimal composition allows for high-speed operation and premium strength capacity for a broad range of industrial equipment. The post Worth the wheat: upgrade solution for grain processing OEM appeared first on Manufacturers' Monthly.

Freight 98
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Titomic’s cold spray technology system a game changer

Manufacturer's Monthly

Manufacturers’ Monthly sat down with Ben Andrews and Dominic Parsonson from Titomic to learn more about its cold spray technology and how it can be used in the additive manufacturing space. A dditive Manufacturing is one of the fastest growing sectors in manufacturing, with new developments constantly appearing on the global market.

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Enhancing chemical company control system reliability, performance

Control Engineering

A chemical manufacturer wanted to upgrade their burner management system (BMS) and combustion control system. In 2021, a global chemical company approached Wood’s Industrial Process Automation Team to deal with a dual-cell balance draft hot oil heater, which was disrupting production targets. Learning Objectives. CONSIDER THIS.

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Process sensors and advanced analytics efficacy

Control Engineering

Since then, we have seen a proliferation of such devices especially for the measurement and control of manufacturing processes. Process manufacturing, sensors are intersecting. Application examples: criticality of data for manufacturing. As a result, the machines are writing the programs instead of humans.