Proper Maintenance of Hydraulic Swivels & Systems

Proper or no maintenance of hydraulic equipment can mean the difference between scrapping a machine at 20,000 hours or more instead of 5,000 hours. And because they often are located deep within the workings of machines, hydraulic swivels (also called rotating joints or rotating manifolds) usually receive little or no maintenance.

A well-designed hydraulic swivel should not require much maintenance. However, if the swivel is mounted in a location where it is surrounded by hoses or tubing, shortcuts may end up being taken—and maintenance improperly conducted or components compromised.

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Robot-Human Collaboration in the Manufacturing Environment

The manufacturing sector has typically been among the first to benefit from technological innovation, particularly in the field of robotics and automation. Traditional industrial robotic systems usually require the use of peripheral safety equipment and physical barriers for the safety of human co-workers. However, the features designed to protect human workers tend to increase cost and space requirements.

Also, the current market demands a reduction in lead times, as well as mass customization, which, in turn, require flexibility and the use of multi-purpose assembly systems. These needs are common among small- and medium-sized enterprises (SMEs). It falls on manufacturers to find a solution that not only addresses problems with cost and space availability but also the need to provide customized solutions to customer needs in the shortest time possible.

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Three Production Benefits to AI in Manufacturing

AI is crucial to manufacturing. According to a recent Forbes Insights survey, AI is deemed important today by 44% of those surveyed. In the upcoming five years, 49% say artificial intelligence will be critical to success in manufacturing. Why is AI in manufacturing so important? Artificial intelligence in manufacturing can offer a host of benefits to a manufacturing operation. Let’s look at three ways artificial intelligence technology can be a major benefit to production in manufacturing.

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How 5G is Transforming Manufacturing

The advent of 5G technology is a highly anticipated tech innovation, particularly in the manufacturing sector, which is poised to benefit greatly from this development. With promising benefits such as super-fast connection, low latency, ultra-reliability, more bandwidth than Wi-Fi and 4G LTE, and support for thousands of devices in one location, no wonder everyone is excited about 5G technology.

With 5G, you can browse the Internet ten times faster, download a full-length movie in less than a minute and stream crisp, clear 4K video. However, the full potential of 5G technology can only be realized when the extent to which it can fundamentally change the manufacturing sector is established.

To understand how 5G technology can revolutionize manufacturing, we’ll talk about how 5G is set to transform the industry.

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Why Sustainable Manufacturing is the Right Move

How we can preserve and sustain the earth is at the forefront of many discussions in todays society. It is also the reason many manufacturing companies are taking the proper steps to help do their part and are making use of sustainable manufacturing practices. The US Department of Commerce defines sustainable manufacturing as “the creation of manufactured products that use processes that minimize negative environmental impacts, conserve energy and natural resources, are safe for employees, communities, and consumers and are economically sound.”

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Innovative Technologies Trending in the Manufacturing Industry

In today’s world, technology is always changing. As a result, there are many innovative technologies that have an impact on the manufacturing industry. Three of the innovative technologies currently trending in the manufacturing industry include nano manufacturing, sustainable manufacturing and additive manufacturing. Let’s look at a brief overview of what these are and what kind of role they play in manufacturing.

Nanomanufacturing

The term nanomanufacturing has emerged as the manufacturing industry adopts nanotechnology. Nanomanufacturing refers to the methods the manufacturing industry is using to make the advanced materials and devices enabled by nanotechnology. Nanomanufacturing is both the production of nanoscaled materials and the manufacturing of parts

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Eight Steps Towards Eliminating Obsolete Industrial Automation Equipment

Everyone knows how quickly technology evolves and innovates, rendering yesterday’s models passé, and sometimes even obsolete – what with all the enhancements and updates that come with the gadgets, devices or machines used today. 

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Automation of Auxiliary Processes is the Key to the Smart Factory

Market demand is continuously evolving, which is forcing companies to reorganize their existing production strategies. Based on traditional automation systems, plants have looked for ways to reduce downtime, organize a safe work environment using mobile automated guided vehicle (AGV) robots and collaborative robots, and take advantage of the potential of advanced analysis of data acquired within the implemented Internet of Things (IoT) ecosystem.

For the best possible management of real-time manufacturing process, it is crucial to enhance the competence of the IoT ecosystem in the management of auxiliary processes and company resources. According to the concept of Industry 4.0 all production processes should be integrated, monitored and analyzed to achieve the best management based on the actual state of the factory. In this way, technology can inform people of the need for repairs and anticipate possible breakdowns, making downtime  less likely.

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Doing Machine Learning the Right Way

The work of MIT computer scientist Aleksander Madry is fueled by one core mission: “doing machine learning the right way.”

Madry’s research centers largely on making machine learning — a type of artificial intelligence — more accurate, efficient, and robust against errors. In his classroom and beyond, he also worries about questions of ethical computing, as we approach an age where artificial intelligence will have great impact on many sectors of society.

“I want society to truly embrace machine learning,” said Madry, a recently tenured professor in the Department of Electrical Engineering and Computer Science. “To do that, we need to figure out how to train models that people can use safely, reliably, and in a way that they understand.”

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Manufacturers Realize Cybersecurity Risks, Taking Steps

Denial can be a very perilous state of being, and admitting there is a problem is the beginning of the journey to solve any issue facing anyone.

While that may sound like a psychology 101 class, in actuality that can be considered the mindset for those in the manufacturing automation sector these days. After years of denying they had any kind of attacks or any kind of security issue, users today are at least acknowledging what they are facing.

“When we meet with clients it is far more common to hear these days, ‘yeah, we had an incident.’ In most cases it is malware that got into the environment,” said John Cusimano, vice president of industrial cybersecurity at aeSolutions. “When we do a cyber risk assessment, one of the things we talk about is the likelihood of certain incidents occurring it is far more common today to hear people say ‘yeah, that happened here.’ They are not publicized events. At least they are aware they had an incident.”

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