IIoT / Smart Manufacturing
Sciemetric EDGE proves its powerful monitoring flexibility—ensuring popcorn quality!
Battery pack leak test: The challenges of getting an honest result
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
How to catch faulty fuel rail insertion with digital process signature analysis
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
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
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
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
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
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!
Choosing the right camera for your vision inspection
Are your machine vision needs on the production line better served with a smart camera, or a “dumb,” more basic one? Before you make the investment, consider these factors that can dictate which option is better for a given situation.