Maintenance in the Digital World
Taking a predictive approach to maintenance is key to maximising uptime, and with Industry 4.0 transforming the manufacturing landscape, now is the time for design engineers to look to digital solutions to reduce machine downtime and ensure consistent levels of efficiency.
Metal Additive Manufacturing Powder Recovery Equipment
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Metal AM powders, such as titanium, aluminium and Inconel are used to produce parts for F1 cars and to ensure their quality, the powder is qualified before use and, when the build process is complete, unused powder is reclaimed and requalified.
Seven Key Considerations When Choosing the Right Equipment Lubricant
Not investing in the right lubricant is clearly a costly mistake especially if you are buying old machinery for business use. This is because a good lubricant can maximize the returns on your investment by ensuring that your old machinery runs at optimal efficiency...
How to Effectively Clean and Maintain Manufacturing Equipment
Addressing the wear and tear on equipment is essential for any manufacturing operation, and in this article, we'll detail everything you need to know. We'll walk you through four effective methods of cleaning and maintenance so you can avoid expensive downtime
Using IoT for Machine Learning-based Predictive Maintenance
By tapping into existing maintenance or equipment logs, a manufacturer can apply machine learning to predict which connected devices or machines will be in need of servicing or forecast required inventory levels across warehouse locations...
Hose Failure Can Halt the Manufacturing Process … Don't Let It Happen
Preventative maintenance can have far-reaching effects, so take the necessary steps. Dont let something as small as a hydraulic hose failure cost your factory a sizable sum.
Why Startups Are the Future for the Industrial Internet
Predictive maintenance is revolutionizing the industry and transforming the entire operation. This technology predicts problems in a factory before they even happen, changing the paradigm and preventing disasters.
Predictive Maintenance, the 1st Step Towards Self-Maintenance and AI
Many businesses are already using continuous monitoring technologies - like Internet of Things (IoT) connected devices - which is a good start; but the key lies in not just simply monitoring the output of various data (which is how many companies use it today), but by taking the next step and employing advanced algorithms and machine learning to take action from real-time insights and anticipate future outcomes.
Machine Learning for Asset Maintenance
Unsupervised Machine Learning is much more cost effective than Supervised Machine Learning because the algorithm does not need blueprints or understanding of the physical process to "learn" the behavior of the asset.
Robot Monitoring and Preventive Maintenance Solution
A robots abnormal condition can be detected early via data comparison, so a high-speed equipment monitoring solution must be able to acquire analog signals at the rate of 1000 signals per second. Then the collected signals need to be delivered to the control room for monitoring management and data analysis.
Maintenance Trends in 2017
Remember that these trends are already in place, for the most part. What you'll deal with are advancements and enhancements that make the trends more apparent.
One-Stop Repair for Food & Beverage Processing Equipment
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Food and beverage processors speed repairs and reduce costs by working with single source for full gamut of machine repairs, from electronic controllers to motors.
Automatic Lubrication Systems That Stand Up to Corrosive, Caustic Environments
The latest in automated lubrication systems ensure optimum equipment performance, even in harsh plant environments, and reduce unscheduled maintenance. Corrosive plant environments are among the most serious threats to many industries today, contributing to extensive production downtime and exorbitant maintenance costs.
Factory Equipment Maintenance and Industry 4.0
The automation and collection of information thats available from machine to machine communication enables manufacturers to transition from corrective to preventive maintenance and ultimately to predictive technologies which rely on more information and data collection.
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The ERT150 - Dorner's Next Evolution of Edge Roller Technology Conveyors
The next evolution in Dorner's Edge Roller Technology conveyor platform, the ERT®150, is ideal for small and light-load assembly automation, as well as medical and medical-device assembly application. The ERT platform is the only pallet conveyor of its kind available with an ISO Standard Class 4 rating for cleanroom applications. Earning the ISO Standard 14644-1 Class 4 rating means Dorner's ERT150 will conform and not contribute to the contamination of cleanrooms to those standards. As implied by its name, the ERT150 (Edge Roller Technology) uses rollers to move pallets through the conveyor smoothly with no friction (a byproduct often seen in belt-driven platforms). The conveyor's open design eliminates concerns of small parts or screws dropping into rollers and causing conveyor damage or jamming. The ERT150 is suited to operate in cleanroom environments requiring a pallet handling conveyor. It is capable of zoning for no or low-back pressure accumulation and is ideal for automation assembly applications within industries including medical devices, electronics, consumer goods among others.
