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ORNL researchers printed thin metal walls using large-scale metal additive manufacturing, a wire-arc process that demonstrated stability, uniformity and precise geometry throughout the deposition. The method could be a viable option for large-scale additive manufacturing of metal components. ORNL collaborated with industry partner Lincoln Electric. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy

A novel additive manufacturing method developed by researchers at Oak Ridge National Laboratory could be a promising alternative for low-cost, high-quality production of large-scale metal parts with less material waste.

Researchers 3D printed molds for precasting concrete using the Big Area Additive Manufacturing, or BAAM™, system at DOE’s Manufacturing Demonstration Facility at ORNL. Complex, durable mold designs can be produced in less time than traditional wood or fib

The construction industry may soon benefit from 3D printed molds to make concrete facades, promising lower cost and production time. Researchers at Oak Ridge National Laboratory are evaluating the performance of 3D printed molds used to precast concrete facades in a 42-story buildin...

Quick coatings

Scientists at Oak Ridge National Laboratory are using the precision of an electron beam to instantly adhere cathode coatings for lithium-ion batteries—a leap in efficiency that saves energy, reduces production and capital costs, and eliminates the use of toxic solvents.

Using 3-D printing, ORNL researchers rapidly prototyped a complex gearbox pattern and created sand molds to make no-waste aluminum parts for industry partner, Emrgy Hydro.

Oak Ridge National Laboratory has successfully developed and tested a novel sand casting technique to quickly design complex patterns to fabricate components for industry partner Emrgy Hydro, makers of hydropower devices designed to generate electricity from slow or shallow water flo...

Pushing Boundaries - JOM Cover
Advanced manufacturing will benefit from additive manufacturing techniques as demonstrated by a team led by Michael Kirka of Oak Ridge National Laboratory.