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Implementing five-axis machining can be an excellent strategy for efficiently producing accurate, complex parts. However, it takes more than the right machine tool to realize the full potential of a five-axis process. In addition to the right machine, tooling and fixturing options, CAM software must be selected carefully.
Having a plan for maintaining and improving the performance and reliability of every machine on a shop floor is vital to manufacturing operations. Reliable machines make short-notice production runs possible. And the more flexible manufacturers are, the more new customers they’ll attract.
Convergence-enabled cyberattacks—where criminals exploit traditionally isolated operational technology (OT) devices through their new connections to the IT network—may be motivated by the desire to hijack and demand ransom for services, steal trade secrets through industrial or national cyberespionage, or commit cyberterrorism or engage in cyberwarfare.
Twenty years ago, Open Mind first introduced CAM software capabilities to address five-axis machining in the mold and die industry and other general applications. Since that time five-axis technology has grown disproportionately larger when compared to the increase in overall manufacturing growth.
Adaptive Milling. Dynamic Motion. hyperMILL. Profit Milling. VoluMill. Waveform machining. If you’re one of the lucky people who machines parts for a living, chances are about 50-50 that you’re using one of these or a comparable high-performance programming technology.
FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.
Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.
McDermott International is using Digital Twins to grow its business and to keep information flowing instead of trapped in silos.
Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.