Keeping the change of processes under control
The Datakit NX write interface is now also able to keep wireframe data and to write assemblies.
Result is a high-performance solution for OEM replacement
The Star: Chinese appliances giant Midea moved a step closer to fulfilling its ambition to acquire German industrial robotics firm Kuka with two weekend deals raising its stake to nearly a majority. Two of Kuka’s biggest German shareholders – technology company Voith and entrepreneur Friedhelm Loh – said they had decided to take up Midea’s offer of €115 (RM512) per share and sell their stakes. German news agency DPA reported that Voith had agreed to sell its stake of 25.1% for €1.2bil (RM5.34bil). And Loh told the business daily Handelsblatt he had decided to sell his stake of 10% for nearly €500mil (RM2.22bil). Combined with its existing holding of 13.5% in Kuka, the two purchases mean Midea now holds 48.5%, or not far from the outright majority, in the Augsburg-based robot builder. Cont'd.. .
advanced precision electronic gearbox provides major productivity enhancements
In the run up to the Next-Generation Collaborative Robots & Automation Technologies Conference - www.next-generation-automotive-automation.com - we have recently conducted an interview with Subaru in which they discussed how next-gen automation technologies and collaborative robotics can improve safety and productivity. A link to the interview can be found below: Steven Eakins, Manufacturing Engineer, Subaru of Indiana Automotive - http://www.next-generation-automotive-automation.com/media/downloads/4-speaker-interview-with-steven-eakins-of-subaru.pdf
Process and device will become inseparable. This is the direction were heading in and it is all powered by the capabilities of Industry 4.0.
Louis Columbus for Forbes: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning’s core technologies align well with the complex problems manufacturers face daily. From striving to keep supply chains operating efficiently to producing customized, built- to-order products on time, machine learning algorithms have the potential to bring greater predictive accuracy to every phase of production. Many of the algorithms being developed are iterative, designed to learn continually and seek optimized outcomes. These algorithms iterate in milliseconds, enabling manufacturers to seek optimized outcomes in minutes versus months. The ten ways machine learning is revolutionizing manufacturing include the following:
Smart combination of intelligent filters and free text search gives engineers new freedom to achieve faster results
Dave Sutton for IT Pro Portal: A technical evolution has taken place, which has made cyberthreats more potent than at any other time in our history. According to PricewaterhouseCoopers, over half of British businesses will suffer cyberattacks by 2018. As businesses seek to embrace Industry 4.0, cybersecurity protection must be a top priority for Industrial Control Systems (ICS). These attacks are financially crippling, reduce production and business innovation, and cost lives. In years gone by, legacy ICS were developed with proprietary technology and were isolated from the outside world, so physical perimeter security was deemed adequate and cybersecurity was not relevant. However, today the rise of digital manufacturing means many control systems use open or standardised technologies to both reduce costs and improve performance, employing direct communications between control and business systems. Companies must now be proactive to secure their systems online as well as offline. Cont'd...
OMRON Introduces Its First IO-Link-Compliant FA Devices: Integration of FA and ICT to Make Production Equipment Smarter
OMRON Corporation will introduce on July 1, 2016, the IO-Link-compliant Photoelectric Sensors E3Z, Color Mark Photoelectric Sensors E3S-DC Series, Proximity Sensors E2E and E2EQ Series, and IO-Link Master Units GX and NX Series all at once as a first step of integrating sensors into the IoT (Internet of things), ideal for use at manufacturing sites. This launch of the IO-Link-compliant sensors is a big step in making production equipment smarter to add various information and communication functions to over 100,000 specifications of control components for factory automation (FA devices) and achieve integration of FA and ICT (information and communications technology).
Industrial Meets the Internet: ABB opens Silicon Valley Campus as Company Ushers in the Next Industrial Revolution with Connectivity and Smart Data
The new 94,170 square foot office and lab facility is 20,000 square feet larger than the previous cumulative locations and will ultimately house nearly 200 employees when at full capacity.
The latest release of WebLink, the worlds first web-based barcode reader setup and control interface, supports new flexible settings for focus, speed, decoder, and more on Microscan's MicroHAWK Barcode Reader platform.
IMTS 2016 -- SPRING Technologies highlights NCSIMUL MACHINE and NCSIMUL CAM as manufacturers usher in Industry 4.0
See full demonstrations of these advanced, award-winning software solutions and more in Booth E-3267
Records 2401 to 2415 of 3138
Automation & Networking - Featured Product
The Model 30MT is a compact magnetic encoder module designed for the most extreme environments. It offers sealing up to IP69K, an operating temperature range of -40° to 120° C, and a shock and vibration rating that conforms to Mil-STD-202G. With a large air gap and tolerance to misalignment, up to 1024 CPR (4096 PPR with Quadrature Counting), and easy alignment and installation, the Model 30M or is an excellent solution where you need motion feedback in your robotics application.