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The dye penetrant method of inspection is a nondestructive test for defects open to the surface. It may be used on such materials as aluminum, magnesium, brass, copper, cast iron, steel, stainless steel, carbides, stellite, certain plastics and ceramics. 

With today’s demands for safe and reliable consumer products, it’s a sure bet that words like efficiency, throughput, repeatability, and safety are often being tossed around in quality assurance departments. 

“Never before have mechanics and manufacturers, and in general has the world of industry, made use of gages and gaging systems as it is doing now..."

If you’re curious about what the plant down the road is buying, we have some answers for you. And if you’re wondering what types of equipment are popular right now, we’ve looked into that as well. In our 19th Annual Spending Survey, we also looked to identify the change in your approach to quality today as compared to a year ago, the spending on quality equipment and services overall, and the change in the budget within categories.

On every trade show floor featuring additive manufacturing, there’s a growing selection of additive processes for making production parts that stand alongside machines more commonly associated with prototyping. An essential aspect of additive’s transition from prototyping to production is data collection.

The temptation when choosing a lens for a machine vision system is to want more of everything—resolution, field of view, temperature range—because the system is only as good as its lens. 

Rapidly evolving, high-quality imaging technology is ushering in a new world of vision guided robotics (VGR) for manufacturers in diverse industries. 

A machine vision interface connects a camera to a computer, transferring image data for processing and analysis. What you choose will impact your application, your system component options, and your results for a long time to come.

Vision systems provide peace of mind when it comes to production quality but they can also generate valuable data that tracks process variability. Diving into the world of vision data can seem overwhelming, but with the right tips and tricks you can set up a system to work for you.

The obvious reasons for automating quality in manufacturing are to reduce scrap, rework, overtime and costs while simultaneously increasing productivity and customer satisfaction. The non-obvious reasons include employee satisfaction, customer referrals and market growth. Automation also give managers and line workers insights into ongoing production.