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Finding the Edge

There’s a whole choice of edge finders that work and function in different ways. Let’s take a look at them to better understand the advantages and disadvantages and hopefully help you to choose the best one for you.

Quality Assurance Passes with Flying Colors at IMTS

The world of quality measurement devices and software continues to expand, and IMTS years are especially exciting times. If there is a theme in the many offerings—new devices, new software—it might be how quality devices are continuing to burrow their way into the heart of manufacturing on the shop floor.

Optical Metrology in Three Dimensions

Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."

Shop Roots Out Long Set Up Times with Advanced Automation

Erik Anderson, president and CEO of Basin Precision Machining LLC, has determined that setups are the root of all evil when it comes to manufacturing productivity. They cause part variations, downtime, and high-percentage scrap rates.

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.

Manufacturing: New and Improved!

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.

Laser Scanners Demand Attention as Technology Improves

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.