For example, imagine measuring a gage block without an […]
For example, imagine measuring a gage block without an automatic system to record the measurement data set. Checking the large number of records required for a set of gauge blocks will be a very time-consuming process and will encounter many human errors. Nowadays, the gauge block measurement system is directly connected to a computer and dedicated software, and the process is quite automated using templates for block positioning and automatic data collection and table generation.
The same automatic data collection has been transferred from the inspection laboratory to the precision machining workshop. There are many reasons why data collection is important to the manufacturing process: measuring and monitoring the manufacturing process, recording results for quality assurance, or monitoring gauges to ensure that they maintain performance. However, just like the rubric example, there is a lot of data to collect. It must be reliable, and the process must be transparent to the person making the measurement.
In the 1980s, there was a revolution in the electronics field. For the first time, most electronic gauges included a data output connector. This allows a direct connection to a data collection device or computer, and practically eliminates errors associated with manual data collection. Therefore, the new digital indicator with output can be converted into an existing bench measuring tool through a cheap cable. The wasted measurement information can suddenly be collected and tracked. This is essential for making process decisions.