A dynamic safety concept has been implemented in the Industrie 4.0 demo production plant of the SmartFactoryKL consortium on the basis of an industrial, Ethernet-based communications protocol.
Materials researcher Metalysis Ltd. (South Yorkshire, UK) recently announced that it has developed a new synthesized graphene material that holds potential for future industrial production. Metalysis, which is focused on commercializing its proprietary electrochemical metal-powder manufacturing technology, said its R&D successfully produced graphene using the company’s own process.
Comau, Microsoft and ICONICS are debuting here at Hannover Messe the results of their work together to improve manufacturing production around the world, in terms of efficiency and total cost of ownership.
On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.
Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.
The road to manufacturing success today runs through the mountain of data that tools are generating in metalcutting applications, and most importantly communicating and reacting to in real time on the shop floor.
Meeting the needs of the evolving digital manufacturing initiative, Open Mind Technologies (Needham, MA) has recently partnered with Heidenhain TNC controls (Schaumburg, IL) to provide exclusive first use of their new NC code-based machining simulation solution hyperMILL Virtual Machining.
Simulation tools are making it much easier for manufacturers to optimize their processes, visualizing the entire path of production from NC metalcutting simulations through 3D design and factory-floor imaging.
Unplanned downtime and production loss due to equipment failure is one of the leading losses for manufacturers. Most shops perform maintenance on a fixed schedule or on failure. This means a machine will be maintained regardless of how often it is used and unexpected breakdowns will stop production.
Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.
