Method for Calculating Moment Loads on Linear Actuators

With the actual equipment, there are various kinds of equipment conditions and driving conditions for electric actuators and cylinders and thus, it is very difficult to explain all the operating conditions.

Is There a Tomorrow for Manufacturing in the United States?

Operators will soon be able to test and optimize the machine settings for the next product in line in the virtual world before they make the physical change-over.

Using Silicon in Lithium Ion Batteries to Increase Capacity

We have demonstrated the ability to electrospin liquid CHS into silicon nanowires that when blended with carbon lead to performance comparable to that achieved by CVD grown silicon nanowires but at reduced cost and simplified scaling.

How Embedded Devices and the Cloud Are Leading a Paradigm Shift in Manufacturing and Production

This cannot be a simple extension of todays processes, but needs to be a complete rethink of how manufacturing and production systems are designed to take full advantage of the cloud and the analytics that it brings to bear.

Logistic companies Swisslog, Dematic, Egemin and Intelligrated have all been Acquired

All these companies are logistics and material handling vendors and times are changing in logistics and fulfillment

What Super-Efficient Manufacturing Looks Like

The Tesla factory in Fremont, California, and the Gigafactory in Nevada are monuments to science and progress.

Understanding Industry 4.0

Process and device will become inseparable. This is the direction were heading in and it is all powered by the capabilities of Industry 4.0.

The Next Industrial Revolution - 3D Printing

The 3D printing field is expected to grow more than 14% annually to become an $8.4 billion industry by 2020

Microscan Visionscape® GigE Camera Performs Precision Measurement of Apertures in Digital Camera Housing at Foxconn

his case study from the electronics manufacturing industry could be applied to other sectors, and as vision technology advances and experience from its practical application is accumulated, there are sure to be even more challenges addressed using precision machine vision solutions.

SME Launches High School Membership Program to Build the Manufacturing Workforce Pipeline

With an anticipated skills gap of 2 million jobs by 2025, the manufacturing industry needs to attract and inspire the next-generation workforce,

Transforming 64-Bit Windows to Deliver Software-Only Real-Time Performance

Freed from the isolation of the real-time system and from other functions such as the user interface, OEMs are able to explore more innovative solutions with less risk and overhead.

The Additive Manufactured Excavator Design Competition

The additive excavator cab design competition had very few limitations on the cab design and essentially encouraged students to showcase our skills and ideas. We could create something totally unique, aesthetically pleasing, yet functional to showcase the capabilities of additive manufacturing

Direct Marking for FDA UDI Compliance

Understanding Permanent Marks and Methods for UDI Marking and Verification

Basic Assembly Skills Are as Important as Ever, Even in This Technology-heavy Era

Whatever advancements the future holds, production facilities will continue to need individuals who have a wide range of basic assembly skills and those individuals will always be indispensable.

Consider This When Buying a New VMC

The best vertical machining center for you is the one that meets your needs. Therefore, the first step when shopping for VMCs is to clearly determine what you need the machine to do.

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Using AI to Collect & Leverage Data

Using AI to Collect & Leverage Data

Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.