By Michael Kendall Detecting metallic (ferrous) objects is a common application in many industries, including manufacturing, automotive, and aerospace. Inductive sensors are a popular choice for detecting metallic objects because they are reliable, durable, and cost-effective. Detecting a metallic object, however, is not always as simple as it seems, especially if you need to differentiate…

By Kyle Bause Ingress Protection (IP) ratings, developed by the International Electrotechnical Commission (IEC), are a standardized measure for manufacturers to specify and understand the level of protection that an enclosure offers against the intrusion of solid objects and liquids. It helps customers understand the suitability of a product for its intended use. There are…

When Ready Systems of Burlington, Ontario, Canada was looking for a replacement for their DeviceNet network architecture, they turned to long-time partner Balluff to investigate possible Ethernet control architectures. While they also provide complex material handling and robotics systems, Ready Systems is most well-known for pallet-based assembly line conveyor systems for the automotive seating industry.…

By Mark Bakke Overall equipment effectiveness (OEE) is a critical metric for measuring the efficiency of manufacturing operations. It considers three factors – availability, performance, and quality – to determine the effective use of equipment. Where do we focus to win the biggest improvements? To improve OEE, it’s important to focus on these five key…

By Logan Welch Water is everywhere, in most things living and not, and the amount of this precious resource is always important. The simplest form of monitoring water is if it is there or not. In your body, you feel the effects of dehydration, in your car the motor overheats, and on your lawn, you…

By Anjesh Shekhar Machine learning can help organizations improve manufacturing operations and increase efficiency, productivity, and safety by analyzing data from connected machines and sensors, machine. For example, its algorithms can predict when equipment will likely fail, so manufacturers can schedule maintenance before problems occur, thereby reducing downtime and repair costs. How machine learning works…

By Frantisek (Frank) Jakubec Embedded vision is a rapidly growing field that combines computer vision and embedded systems with cameras or other imaging sensors, enabling devices to interpret and understand the visual world around them – as humans do. This technology, with broad applications, is expected to revolutionize how we interact with technology and the…

By Tom Knauer The P-F curve is often mentioned in condition monitoring and predictive maintenance discussions. “P-F” refers to the interval between the detection of a potential failure (P) and the occurrence of a functional failure (F). The P-F curve is an illustrative generalization of what happens to an asset, machine or component as it…

By Max Baker With more and more consumers setting their sights on ‘Drive Electric,’ manufacturers must prepare themselves for alternative solutions to combustion engines. This change will no doubt require an alternative automation strategy for our electric futures. The battery The driving force behind these new electric vehicles is, of course, the battery. With this…

Reduce format change downtime. Improve ramp up of the production line. after a completion of changeover. Reduce training requirements and the need for experienced personnel. Increase productivity and profitability. A global leader in food manufacturing had a specific need to improve production efficiency. After evaluating and piloting they decided to implement the Balluff “Guided Changeover…