IIoT / Smart Manufacturing
Optimizing limits on your manufacturing test processes eliminates false failures and reduces the risk of giving bad parts a passing grade. This blog post discusses how to use digital process signatures to set more effective limits, more quickly, to produce higher quality parts, lower scrap/rework rates, and experience fewer recalls or warranty claims.
Many manufacturing and industrial facilities have chosen to recruit capacity from a public cloud service provider to help them manage their data. However, while the cloud is a relatively cost effective, simple to manage, and scalable solution to suit your needs, it can also create some other challenges. Learn more.
Like any common manufacturing operation, a press-fit must be monitored to prevent flaws and defects from impacting part quality. In this series, we will dig into how press defects can be found using digital process signature analysis software, what to monitor in a press operation and also provide examples from actual press operations.
The first post in a two-part series, this post discusses how digital process signature analysis offers you accurate and effective defect detection during torque test. With parts that are meant to turn or rotate, how easy or how difficult it is to initiate that movement can reveal issues with the manufacturing operation, which digital process signatures can help you identify proactively.