Main navigation


IIoT / Smart Manufacturing

5 ways to improve your production line in 2020

Contributed by: Sciemetric Staff
December 19, 2019
Team at manufacturing line

Here are 5 tips to help improve your production line in 2020. We want to help manufacturers identify their problem points on the line and identify ways modern manufacturing technologies can be applied to start seeing improvements in the short-term—without a massive overhaul. 

Battery pack leak test: The challenges of getting an honest result

Contributed by: Rob Plumridge - Leak Applications Engineer
September 10, 2019
EV battery pack

A variety of factors make it difficult to simulate the exact leak conditions battery packs will experience in the field, but there are strategies to achieve an effective battery pack leak test. Here are two of the key challenges you are likely to encounter with battery pack leak testing and strategies to overcome them.

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.

Factors in identifying proper test pressure for your leak test

Contributed by: Rob Plumridge - Leak Applications Engineer
April 10, 2019

A chief goal when it comes to optimizing any leak test is to ensure if the cycle time of the test can keep up with the pace of production. One factor in optimizing the test so that it can cycle as many parts as quickly as possible with an acceptable range of repeatability and reliability is test pressure. Consider the following factors when identifying proper test pressure for your leak test. 

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!