Data-Driven Manufacturing
Managing Cutting Tool Data in the Cloud
Shops are moving to data-driven manufacturing step by step. One of these steps is to access and manage cutting tool data with cloud-based, vendor-neutral databases and applications such as MachiningCloud. A review of this development shows what implementing Industry 4.0 might look like.
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EMO 2017: A Sneak Peek
EMO, the world’s largest metalworking show will be back in Germany September 18-23 with the theme of “connecting systems for intelligent production.”
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System Insights Rebrands as Vimana
The move, which includes a new logo, tagline and website, is intended to better speak to the needs of shops looking to get deep data-driven insights to improve performance.
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Gage Software Connects to CNC, Automates Tool Offset Updates
The Renishaw Equator flexible gage is now offered with intelligent process control (IPC) software, providing the functionality to fully automate tool offset updates in CNC manufacturing processes.
Read MoreEMO Hannover 2017 to Focus on Internet of Things Concepts, Trends
The show is scheduled to take place September 18-23, 2017 in Germany.
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Analyzing Sound Boosts Machine Monitoring
A new generation of sound analysis software detects, amplifies and records machine tool noises that can be analyzed for preventive and predictive maintenance.
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Closing the Loop on Data-Driven Manufacturing
Hexagon’s annual conference highlighted strides in expanding beyond metrology to smart factory connectivity.
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Amerimold: Moldmaking's Biggest Show Captures Current Metalworking Technology
Many of the emerging developments and key trends in metalworking technology were represented at this show, making it a revealing cross-section of current advances.
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Hexagon to Build “Smart Factory” in China
The Hongdao facility will primarily produce metrology systems.
Read MoreManufacturing Data Gathering, Contextualizing Software
System Insights has launched Vimana Enrich, a software solution that simplifies the capture and integration of relevant data from the shop floor and business systems and adds context to the manufacturing process without increasing time and cost for programming and systems integration.
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