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.
Until the middle of 2010, first-tier subcontract machinist, JJ Churchill, could produce turbine blades only if they had their fir-tree root-forms preground elsewhere, or if they were subsequently added by another subcontractor. No longer is this the case.
Chuck Mathews, executive vice president, CMO, CTO ESPRIT CAM, part of Hexagon Manufacturing Intelligence, discusses the latest software trends.
Over the last 30 years, the electrical power demand on aircraft has increased by a factor of 10. While the growth in aerospace E/E systems has introduced new challenges, it is also creating new opportunities.
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.
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.
Bosch said it is moving forward with volume production of silicon carbide chips.