The classic manufacturing conundrum is how to make products quicker, cheaper, and better.
Micro components continue to shrink in size, demanding ever-greater precision and improved handling of parts with sub-micron-sized features. New approaches in micro machining technology include higher-precision systems from traditional micro machining developers, as well as techniques using additive manufacturing processes and semiconductor wafer-scale technology on the smallest of micro parts.
When you walk into the Redeye On Demand facility in Eden Prairie, MN, you enter into one version of the factory of the future. There you will see a bank of 100 high-end Fortus fused-deposition modeling (FDM) machines from Stratasys that provide the capacity to build real, functional parts with production-grade thermoplastics directly from CAD data.
With today’s focus on lightweighting, hollow parts made from composite materials—such as ducting, fuel tanks, mandrels, and rocket shrouds—are in higher demand than ever before.
In my capacity as the Chair of the Council of the Manufacturing USA institute directors, I often get asked about trends in U.S. advanced manufacturing.
The Measuring Division of Kaman Precision Products, Inc. announces the availability of its line of Extreme Environment high-precision displacement sensors and systems.
Simcenter Testlab enables better usage of test-based data, from design and simulation to validation and certification.
Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.
Marshall Aerospace and Defence Group is now using 3D printing from Stratasys to manufacture flight-ready parts for several of its military, civil and business aircraft—while producing specific ground-running equipment at a lower cost than aluminum alternatives.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.
