Like most industries, the hydraulics industry also had to cope with the pandemic in 2020, although a recovery was already noticeable during the year. This could be because a broad range of applications and industries are served – and the industry is successfully taking on the current challenges of energy
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12 posts
Introduction When we work with classification or regression models we are seeking to predict either a discrete value, or a value along a continuum. The accuracy of these models is implicit in the metric we use when training: either in the cost function during the actual training, or something like
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Quality problems in the production of stamped and bent metal parts require data for analysis and sensors that provide it. Condition monitoring captures many data points that allow analysis and thus faster detection of the root causes of defects.
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Manual, paper-based processes in intralogistics are inefficient, inaccurate and not scalable. RUCH NOVAPLAST, a manufacturer of product solutions made of particle foams, now uses RFID systems to track transport trolleys at every stage of production. This provides greater transparency in the manufacturing process.
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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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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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