The world of today’s economy requires businesses to keep a quick pace with the demands of the market. The globalization of products and services made it so that, to stay competitive, product iteration and deployment must be quick and effective. Fortunately, we have the technological foundation to enable this kind of model. A combination of hardware, software and analytical tools put businesses in the position to close the iterative circle of prototyping and manufacturing in a lean fashion. Manufacturing technologies like 3D printing and hybrid manufacturing platforms give the tools needed to experiment and ultimately produce finished goods for almost any circumstance. The digital world we have weaved enables CAD and software to travel and be shared, creating an ecosystem in which everyone is uplifted. Finally, the IIoT is empowering everyone through the might of data-driven insights, interconnecting information hotspots and putting processing power to work on spotting operational inefficiencies.
Engineers Create 4D Printer that Combines Four 3D Printing Techniques
[3D printing] Still somewhat in its infancy, the last decade has witnessed a generous body of research that seeks to exploit its uses more than we could have ever imagined. One example comes from a team from the Georgia Institute of Technology, led by Professor H. Jerry Qi from the University’s George W. Woodruff School of Mechanical Engineering. Their aim was simple: 4D printing. Or put in a different way, to create a machine that combines multiple materials into one 3D printer.
3D Life Launches 3D Anatomical Heart Library
[3D Life] are meeting the demand for anatomical models by launching a 3D anatomical heart library, providing medical professionals with access to 3D printing. The USA’s National Institutes of Health offers a similar library covering a broader range of medical models freely available as .STL files, but without the printing services offered by 3D Life.
Leonardo Bilalis, Design Engineer, hopes that the library will promote “better knowledge of [how 3D printed] organs can be used for surgery preparation for complex problems”, “making operations shorter and more efficient.”
Read more about it here.
IIoT Analytics are Just Numbers, Unless You Solve a Business Problem
There is lots of excitement about analytics and machine learning. It’s moving through its hype-cycle but still faces many challenges. Putting aside other challenges, solving real business issues is still a major shortcoming. If your reporting and analytics is counting “things” – just buy a calculator. Find a business problem to solve, and then you will see real value.
Read the full article here.
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