Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.
Fiber laser welding is all about control of the process, according to Kurt Magedanz, laser process engineer at Ace Precision Machining Corp., Oconomowoc, Wis. With its new Laserdyne 430 systems, Ace Precision has made huge strides with weld quality while reducing operator intervention in the process.
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.
Mahr Inc., a global manufacturer of precision measurement equipment, will host a grand opening of its new Midwest Regional Customer Center July 25-26.
Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.
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.
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.
The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.
