Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.
The classic manufacturing conundrum is how to make products quicker, cheaper, and better.
Why use a metrology device on or near a machine tool? It isn’t just useful for making sure a tool is present or monitoring tools for wear or breakage. On-machine measurement technologies can save time and money, by speeding up processes and eliminating extra personnel, and they are a critical step in the movement towards “lights-out” manufacturing.
Chuck Mathews, executive vice president, CMO, CTO ESPRIT CAM, part of Hexagon Manufacturing Intelligence, discusses the latest software trends.
In the AI world, fear is driven by unfamiliarity with the process, the professional impact of failure and the daunting tasks of pulling together all of the people and perspectives required just to get started. Here are three key lessons learned from our work with Rolls-Royce and Gulfstream that will clear your AI project for takeoff.
Saving lives and transforming healthcare, BioFabUSA accelerates the development of
regenerative treatments and creates a manufacturing ecosystem to produce curative therapies
Visibility, uptime, profits, and part quality: why a networked manufacturing floor is no longer a nice-to-have
CAD/CAM improves generative design, print simulation, path programming and process control in additive manufacturing.
Key steps are virtual twins and real relationships.
Sandvik Coromant’s Package Selector Application analyzes a 3D CAD model of a product and recommends the smallest packaging possible using an AI algorithm that calculates the product’s rotation.