Industrial robots are becoming easier to program, more versatile, more cost-effective, more accurate and more mobile. These changes are lowering barriers to entry, shortening return on investment and making robots a more practical investment.
Cloud technology presents manufacturers with opportunities to improve the flexibility, scalability and efficiency of their operations. Realizing these benefits will require more than simply doing a one-to-one transfer of current technology to cloud-based servers.
CGTech, a developer of verification and simulation software technology for the manufacturing industry, has appointed Mark Forth as Global Business Development Manager. Forth joined CGTech’s corporate headquarters in Irvine, Calif. on Oct. 1.
Blockchain can help power the process to monetize Big Data and will play a role in the FDA’s regulations to limit pharmaceutical counterfeiting by increasing security of the drug supply chain, said experts Smart Manufacturing gathered at Westec 2019 for an exclusive blockchain-tech roundtable
Machinists and toolmakers are often confused for one another. Their expertise and job descriptions might seem similar to an outsider, but as Practical Machinist’s forum members like to point out, there is a significant difference between them.
Manufacturers of all sizes see an uptick in productivity after adding a factory within a factory via an automated machining cell. The cells are small-scale, clearly defined production units, often for a family of similar parts or a product, and they typically include a robotic arm and one or more machine tools. These can include horizontal and vertical lathes, machining centers and grinders. The cell may also include a conveyor component.
What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.
For years, collet-type toolholder assembly and setup have relied on cumbersome, error-prone manual methods that waste time and money.
Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.
Defeating chatter, increasing speeds and feeds, defeating pullout, and reducing cycle times hold the keys to success.