Process Monitoring / In-Process Test
Performing a leak test on big parts poses big challenges. But, as is the case with any leak test scenario, if you know and control your variables, you can control the test. Here are 4 tips to help you achieve a reliable and repeatable leak test.
Learn about the successes we’ve helped our customers achieve—and how we can help you achieve the same success on your production lines!
John Perkins discusses how an ICP-based accelerometer that’s connected to a test monitoring system can keep noise, vibration and harshness (NVH) testing on the factory floor and avoid the cost and complexity of having to use an anechoic chamber.
Ron Pawulski cites a Sciemetric use case to explore how digital process signature analysis can save medical device makers from the cumbersome and costly process of end-of-line destructive testing for quality assurance.
John Perkins recaps a use case for noise, vibration and harshness (NVH) testing. A multi-channel sigPOD platform with a strategically located accelerometer helped a wheelchair manufacturer catch problems with motors and gearboxes during production to avoid warranty claims.
John Perkins cites a use case for noise, vibration and harshness (NVH) testing. Digital process signature analysis using an accelerometer is put to the test against the traditional microphone approach to catch nicked gears in automotive transmissions on the line during production.
Patrick Chabot argues why repair bay operations must be viewed as much more than a reactive function, with technicians waiting to address individual problems as they arise. Industry 4.0 demands a more proactive and holistic approach.
The fix for a quality assurance system that just isn’t making the grade often does not necessitate a costly rip-and-replace. Joe Ventimiglio explores how an existing system can instead be retrofitted to gain some smarts with the tools for digital process signature analysis.
Even the tiniest air bubbles can ruin the integrity of a seal or adhesive and vision systems alone can’t spot trapped air. Aaron Alberts talks about how Sciemetric teamed with Graco to create a new data-driven quality assurance system for dispense to capture what a camera can’t.
Finding the right limits for your in-process tests is crucial to achieve the highest production yields and minimize the risks of defective parts slipping through. We explore how waveforms, or digital process signatures, can be used to achieve this, quickly and reliably.