January 9, 2020 — Precision Drive Systems (PDS), a provider of precision spindle motor support and repair based near Charlotte in Bessemer City, NC, announced a data-driven predictive spindle maintenance program. PDS Spindle Monitoring technology also protects the machine and workpiece by rapidly shutting down the machine tool in the event of a crash.
During routine spindle repairs performed in PDS’ North Carolina service facility, PDS technicians embed sensors that connect the spindles to the Internet of Things (IoT) employing Industry 4.0 protocols that provide distributive data for manufacturing process improvements. These embedded sensors are hardwired to the machine for real-time, online monitoring of excessive spindle-bearing vibrations and heat to predict the life of the spindle and protect the machine in the event of a crash. This constant monitoring detects major spindle problems before c catastrophic spindle failure — repairing a seized-up or crashed spindle can cost up to twice as much as repairing a worn spindle that is still running. This predictive spindle maintenance service enables customers to know when to replace tools or adjust speeds and feeds.
PDS also offers a quarterly service where PDS technicians visit the customer’s shop and attach portable wireless sensors to the machine for a quick glimpse at the spindle’s health. This evaluation is then compared to the spindle’s nominal threshold measurements or to PDS’ extensive library of spindle data that can effectively predict spindle life.
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January 9, 2020 — Precision Drive Systems (PDS), a provider of precision spindle motor support and repair based near Charlotte in Bessemer City, NC, announced a data-driven predictive spindle maintenance program. PDS Spindle Monitoring technology also protects the machine and workpiece by rapidly shutting down the machine tool in the event of a crash.
During routine spindle repairs performed in PDS’ North Carolina service facility, PDS technicians embed sensors that connect the spindles to the Internet of Things (IoT) employing Industry 4.0 protocols that provide distributive data for manufacturing process improvements. These embedded sensors are hardwired to the machine for real-time, online monitoring of excessive spindle-bearing vibrations and heat to predict the life of the spindle and protect the machine in the event of a crash. This constant monitoring detects major spindle problems before c catastrophic spindle failure — repairing a seized-up or crashed spindle can cost up to twice as much as repairing a worn spindle that is still running. This predictive spindle maintenance service enables customers to know when to replace tools or adjust speeds and feeds.
PDS also offers a quarterly service where PDS technicians visit the customer’s shop and attach portable wireless sensors to the machine for a quick glimpse at the spindle’s health. This evaluation is then compared to the spindle’s nominal threshold measurements or to PDS’ extensive library of spindle data that can effectively predict spindle life.
Check out our free e-newsletters
to read more great articles.
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