ManufacturingTomorrow - Special Tradeshow Coverage
RAPID + TCT 2018
RAPID + TCT 2018 took place in Fort Wort, TX April 24th - 26th. This ManufacturingTomorrow.com Special Tradeshow report aims to bring you news, articles and products from this years event.
Using Blockchain Technology with 3D Printing Processes
3D digital manufacturing inherits several privacy and security-related challenges with multiple stake holders. Blockchain technology can be used for enabling data governance, data provenance, data auditability and data validation in 3D printing.
The creation of the Force American Made (FAM) machine shop at John Force Racing (JFR) is a story about turning tragedy into triumph.
FAM manufactures tens of thousands of parts per year that range from small consumable parts to super chargers, engine blocks and cylinder heads.
AI is Running this Smart Steel Mill
Steel mills are rich in data, and learning algorithms only get better as they learn. Steel mill owners stand to improve their quality and margins dramatically from AI investment. AI can also reveal unexpected business opportunities as well as operational efficiencies.
Making the Case for the ROI of Plasma Treatment Equipment
Despite its effectiveness, plasma treatments for surface modification and chemical deposition remain less than fully understood. So, too, are the tool selection choices. For this, vendors work with customers to select equipment and help justify the ROI
Industrial IoT: How Smart Alerts and Sensors Add Value to Electric Motors (Part 4 of 5)
With the IoT, every electric motor on a factory floor is equipped with one or multiple sensors that are connected (preferably wirelessly) to a control database that continuously collects data about the motors.
Advancement in Manufacturing Logistics
The productive manufacturers of the future will be those who can adjust to the advanced change in sourcing, production and distribution, and are responsive and adaptable enough to take advantage of new logistical technologies.
The Slow Growth of High Speed
High Speed Machining is more than just an interesting idea with a compelling past. The science is out, and the debate is over, implementing High Speed Machining Techniques is a sound economic decision, that decreases costs while increasing productivity and efficiency.
How Will Food Manufacturing Adapt to IIoT
The food manufacturing industry stands apart due to its continual reliance on people. No matter how much automation exists in a plant, people still need to oversee things. Employees will not become obsolete with the introduction of IIoT.
How Is IoT Data Being Leveraged Today to Improve Quality in the Commercial or Industrial Market?
Every company is concerned about quality, but leading companies are leveraging automated systems and IoT data to test their products and improve quality at a new level. Leaders in this industry include Tesla, Raymond, and Daimler Trucks.
PBC Linear Building 3D Success with Trinity Labs
The 2-piece Uni-Guide design eliminated the tedious assembly and alignment process previously needed, saving time and also making it an easy field retrofit for existing machines.
Reducing Parts Costs as Production Scales Up
OEMs turn to one-stop metal parts shops that can transition to more cost-effective fabrication and machining techniques as demand increases.
Ready for Industry 4.0?
The acatech Industry 4.0 Maturity Index provides companies a guideline for a structured approach. Apart from technological requirements, the digitalisation strategy must not disregard the adjustment of organisational structures and qualification of employees and must focus on IT security in all phases.
How 3D Printing is Impacting Manufacturing
The market share is increasing and more production industries are acquiring 3D printing units. Subtractive manufacturing has been rendered less effective, but there are many industries that are reluctant to give up their old ways.
Why Automation Gateways Matter
There is no clear-cut winner among the different standards and there is a lack of interoperability, even when Ethernet is used as the base network. For users and implementers of automation equipment, applying the best solution often requires supporting dissimilar network technologies.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
