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GE Now a User and a Major Seller of AM Technology

General Electric Co. (Boston) has been very public about its use of additive manufacturing (AM) technology to build critical jet engine components, starting with the fuel nozzle for its LEAP engine.

Five signs companies aren’t fully maximizing AM’s potential

With additive manufacturing (AM) as an established part of many companies’ product development and manufacturing processes, there has been a greater understanding of the technology’s technical and business advantages. With that, more users are benefitting from lighter and more durable parts, increased design freedom and on-demand part production.

Manufacturing and AI: Promises and Pitfalls

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

Tool Presetters Take On Industry 4.0

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

Haas Automation Reports Record Sales in 2017

Haas Automation Inc. (Oxnard, CA) reported that its annual sales in 2017 exceeded 13,500 units for the first time in company history—an increase of nearly 30% over 2016. “It was an incredible year,” said Scott Gasich, vice president of sales & marketing."

Making Medical Miracles

Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.

Solving the Shop-Floor Data Analysis Puzzle

As the move toward a more connected manufacturing industry gains momentum and manufacturers start collecting factory-floor data, the need for fast, efficient data analysis becomes ever more critical.