Main navigation


Manufacturing Management

Improve crimp testing with non-destructive methods

Contributed by: Sciemetric Staff
August 1, 2019
sigPOD on manufacturing background

In-process testing and digital process signature analysis eliminates the need for destructive pull-tests in crimp operations, while at the same time providing a near perfect degree of quality assurance that a pull-test just can't deliver. Learn how Sciemetric solutions improve crimp operations.

How to catch faulty fuel rail insertion with digital process signature analysis

Contributed by: Sciemetric Staff
July 25, 2019

Tearing down an engine to find a problem when it fails an end-of-line test is costly and time-consuming. It’s much better to identify a quality issue upstream on the production line where it occurs. Learn how an automaker used digital process signatures to adjust their fuel rail insertion parameters to catch faulty insertions before they reach the end of the line.

A more reliable weld test through data, without the need for destruction

Contributed by: Sciemetric Staff
July 23, 2019

The traditional approach to testing weld integrity is often destructive pull-test, with its shortcomings. Perfectly good assemblies may be ruined, while faulty ones can still slip through and be shipped for use. With digital process signature analysis, however, all the metrics that identify problems can measured to catch defective parts.

How to improve valve tappet set monitoring: A case study

Contributed by: Sciemetric Staff
July 11, 2019
Engines on production line

The valve tappet setting application can have a huge impact on the overall quality of an engine. If the valve tappets are not adjusted and tightened within precise parameters during manufacturing, it can cause premature wear and excessive engine noise during operation. Learn how Sciemetric helped an automotive manufacturer boost quality and repeatability with an efficient solution for the valve tappet set station.

Digital process signature analysis: The first step to Industry 4.0

Contributed by: Sciemetric Staff
June 6, 2019
Sciemetric staff reviewing process data on screen

Many manufacturers continue to focus on data collection rather than data utilization. They don't yet have the modern data analytics tools in place that will allow them to squeeze from their part data the actionable insight that is crucial to meeting Industry 4.0 benchmarks they are seeking for quality, yield and traceability. Learn why digital process signatures are your first step to meet Industry 4.0 objectives.

The savings of commonality on the production line

Contributed by: Sciemetric Staff
April 23, 2019
manager looking over production floor

There is a tendency to think about the line in terms of individual process, with separate solutions for force-distance monitoring, leak testing, torque testing, etc., rather than as a whole—but it doesn't have to be this way. With one common solution, like the sigPOD, one platform can do it all. Learn how commonality on the production line helps manufacturers save time and money.

How to effectively store and manage machine vision images and data

Contributed by: Patrick Chabot - Manufacturing IT Manager
March 18, 2019

The information generated by machine vision systems puts a whole new spin on the term “big data.” The raw image files output from vision systems are huge, and manufacturers can generate terabytes of image data in a month—even in a week! So, what do you do with all this data? Read more to find out!