Many manufacturers face the costly problem of a lagging leak test cycle time. With constant pressures on production, line managers have no choice but to run parallel test stations to maintain production quotas. More often than not, the answer is simple—use your leak test data. Here’s how one customer did it.
Learn about the successes we’ve helped our customers achieve—and how we can help you achieve the same success on your production lines!
We talk about how Sciemetric’s new partnership with Cincinnati Test Systems (CTS) gives manufacturers worldwide access to the combined products and expertise of three world-leading masters of leak and other in-process test solutions.
Out of all the testing stations on a production line, leak testing is the station most prone to causing bottlenecks. CEO Nathan Sheaff summarizes how manufacturers can take advantage of digital technology and advanced data analytics for more efficient, productive operations.
We recap our five blog posts that captured the most attention in 2017, from getting your leak test right and containing warranty costs with data to how the repair bay can contribute to a more effective defect data management strategy.
When it comes to leak, a smaller part is faster to test. But you can’t just make a part smaller – or can you? Steve White discusses ways to shorten fill time by considering test station fixturing and connections, the part’s internal geometry and supply pressure.
This e-book explores the art and science of achieving a more reliable, accurate and faster leak test. We cover seven practical steps, ranging from getting station setup right, to how to effectively use data and digital process signature analysis.
Leak testing is a quality assurance process notorious for reliability and repeatability challenges. Steve White discusses how and why Sciemetric includes a self-test function as part of its 3520 Leak Test System, to quickly diagnose any issues that may compromise reliability.
Ron Pawulski explores how poor control of test pressure is one of the most common causes of repeatability issues with leak testing. The answer? Digital smart sensors and software that constantly monitor and adjust to compensate for any variations.
Collecting data isn’t the same as making effective and timely use of the data. Rob Plumridge discusses how manufacturers must invest in robust data management and analytics tools if they expect to achieve measurable gains in production quality and output.