Automation

Automation, Optimisation

Optimizing battery production by measuring the cathode and anode thickness

The batteries used in EVs need to have a good quality as the battery should preferably last as long as the vehicle is in use. Easy to recharge as fast as possible and needs to be a reliable power supply during trips/commutes. To ensure this there are several quality control parameters during the battery production. One of the key parameters for quality control is the thickness (and width) of film and strip materials, wet layers and electrode coatings. Yokogawa has been involved in measuring the thickness of battery films and electrodes in the past decades. By utilizing a Beta-ray source, our WEBFREX3ES measures the film thickness reliably and helps to identify a coating that’s too thin or missing.

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Automation

SIRI – First-footings in Digital Transformation

Did you ever feel pocced? Even without knowing what it means it already gives a sinister feeling. Doesn’t sound very positive. Well, it isn’t. “Poccing” is giving-in to the inclination to do a Proof of Concept for a digitalization initiative at your facility, without having addressed the key success factors. At a number of industrial players, we have seen some serious cases of poccing, but you may see yourself suffering of one of the milder symptoms.

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Automation, Optimisation

Maturity models in digital transformation – an interview with Dr. Violett Zeller

Many different questions pose major challenges for companies entering the digital transformation.  Maturity models can provide great support in answering them. But even later on, an examination of the status quo is essential in order to be able to adapt existing strategies to changing circumstances in an agile manner. We talked to Dr Violett Zeller, Chair of the VDI/VDE Digital Transformation Department, about what maturity models are all about and how companies can find the right model for them. Join us on our blog for this and other topics on digital transformation in the process industry.

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Automation, Optimisation

The future of Predictive Maintenance

When we discuss the increasingly hot topic of Industry 4.0, we tend to limit the focus to products and solutions, forgetting that this industrial revolution revolves around the human factor. The purpose of the digital transformation we are facing is not to remove people from the big picture, but to make their work easier. This is the starting point for this simple experiment, which we highlight in our new blog article “The future of Predictive Maintenance”:

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Automation, Optimisation

Smart manufacturing: boundaries fade – requirements stay the same

For companies in the process industry, the transition to an open architecture through edge systems offers the opportunity to optimise manufacturing and operational processes. But it is also an opportunity to unlock and enhance the value of existing systems and data. An industrial cloud architecture reflects the interplay of existing and future systems by aligning plant and operational processes with value chains. Unlike traditional concepts, the DX architecture starts from market requirements and customer experience. It extends from applications and operational processes to hardware and data.

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