Being aware of the advantages of Tool Identification the users in production long for this solution to be also available for their existing machines on the shop floor. But how to cope with the variety of machine tool types?
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8 posts
Production processes in milling centers typically use cooling liquids (in order to reduce friction, to cool tool as well as workpiece and to remove metal chips). This way cooling liquids assist to optimize the machining processes.
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With start of industry 3.0 the users of machine tools began to avoid routine work like manually entering tool data. CNC machine tools gained more market share in metalworking applications. These machines are often equipped with automatic tool change systems.
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Condition monitoring is considered highly complex and always associated with high investments. Not so with IO-Link. How IO-Link makes it easy for you to set up a monitoring network that is independent of the machine control system is the subject of this article.
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Unscheduled downtimes in production due to worn out or unserviced molds in machines can cause high costs and are a well-known problem for a lot of companies. In order to prevent these issues and optimize the use of their injection molds, a Swiss chocolate mold producer installed a predictive maintenance system via industrial RFID technology.
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Safety Over IO-Link makes it easier to align a robot’s restricted and safeguarded spaces, simplifies creation of more dynamic safety zones and allows creation of “layers” of sensors around a robot work area.
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In this contribution you can read about what technical prerequisites have to be met for RFID to play such an important role in tool identifi cation and workpiece tracking, and what RFID means for modern production. Tool Identification and Workpiece Tracking RFID – A key technology in modern production Tool-ID
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White paper: Mold Management with RFID for Injection Molding – A Step to Industry 4.0 The terms Industry 4.0, Big Data and the Industrial Internet of Things (IIoT) are now on everyone’s lips. They describe the intelligent networking of extremely diverse areas in industry. Objective of this White Paper
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