Results for "In-Process Test"
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Articles
Fastening, Pressing and Industry 4.0
Engineers can do more with force and torque data than simply make “good” or “not good” decisions about assemblies. Sciemetric's CTO, Richard Brine, is featured in this article in Assembly Magazine discussing the applications of fastening and press for Industry 4.0.
Best practices: Electric Vehicle (EV) battery pack leak testing
In this article, Sciemetric's Rob Plumridge identifies the factors that companies can use to determine how to test for quality flaws in lithium-ion battery enclosures.
New Technologies Impress at the Assembly Show
The ASSEMBLY Show 2018 announces the inaugural Product of the Year winner, QualityWorX DataHub from Cincinnati Test Systems and Sciemetric. The DataHub is a simple, cost-effective tool for analyzing leak test data and performing test-to-test comparisons. The product aggregates data from multiple leak test instruments into an analytics database for real-time usage. Learn more in this article.
How to stay competitive in a connected revolution
In this feature published by Machine Design Magazine, Derek Kuhn, Sciemetric’s senior vice-president, argues why machine builders can’t ignore the growing use of process data by manufacturers to drive quality assurance, greater automation, efficiency and profitability. Manufacturers want this intelligence incorporated into a line as it is being built, rather than incur the time and expense of procuring equipment, hardware, and software from different vendors and trying to integrate it all together.
Gaining The Manufacturing 4.0 Advantage With Data-Driven In-Process Testing
Manufacturing is changing thanks to the increasingly sophisticated and intelligent use of data to make a production line smarter and more efficient. For off-highway and specialty vehicle manufacturers, the 4.0 revolution offers great opportunity to achieve significant cost reductions and grow revenue. In this article, Sciemetric's Product Manager, Dave Mannila, discusses the benefits of data-driven in-process testing.
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