Although the first iteration of 5G technology has offered limited use cases in manufacturing, the next two generations, now expected to be available in the fall of this year and then the fall of next year because of COVID-19-related delays, will help factory owners achieve greater digital transformation of their factories.
Like many technologies in manufacturing and fabrication today, welding operations have evolved to be more automated, flexible, adaptive, and “smarter” for improved throughput, safety and deposition accuracy.
As we enter Industry 4.0, the lines continue to blur between the digital and the physical. With this, the workplace is rapidly changing at every level in every industry.
Dedicated in-house labs create and optimize laser welding processes for electric motors and batteries.
Amid predictions of global economic slowdowns and several recent PMI readings indicating manufacturing contraction, it becomes easy to see how slow production performance and data inefficiencies throughout the manufacturing supply chain contribute to economic uncertainty and concerns for future business.
Marposs, announced on March 24 the availability of its Aeroel MecLab.X laser micrometer systems. These provide diameter measurements for components such as electric motor shafts, gage or piston pins, hydraulic components or any number of ground or turned parts.
Imagine you wrote a masterpiece of literary fiction or a detailed plan for financial success. You can’t wait to share your work with the world. But there’s a problem. In this universe, in this reality, computers have no way to share documents with each other.
Intended to meet growing demand for remote access via public 5G networks for remote maintenance.
Everyone knows that today a ton of data captured on the manufacturing floor goes unused due to the lack of a data scientist on staff or other resources to comb through all the information.
As manufacturing marches forward into the digital era, a growing ecosystem of standards is laying the foundation for a new generation of data management.
