Advanced Predictive Analytics to Improve Capabilities of Metal...

Advanced Predictive Analytics to Improve Capabilities of Metal working Machines

By Manufacturing Technology Insights | Friday, July 31, 2020

Implementation of a predictive analytics solution is envisioned to improve the capabilities of metalworking machines by identifying anomalies and detecting their possible cause.

FREMONT, CA: Zyfra, Finnish-Russian industrial digitalization leader, develops predictive analytics solutions powered by machine learning to improve the capabilities of metalworking machines by identifying anomalies in the technological process and detecting their possible cause. Zyfra PdA solution analyzes the real-time data from CNC machines, alerts users whenever an anomaly emerges and indicates the possible cause while giving recommendations for further actions. The system classifies a range of anomalies like tool quality, operator error in case of incorrect operating modes selection, and machine failure.

Manufacturers of large-dimensioned products made of expensive materials face a detect defection problem. Defects are caused by many factors, such as the quality of the cutting tools, technological faults, equipment wear, etc. “There is a need for an intelligent system which will take into account all the necessary information from equipment monitoring systems, evaluate the impact of this information on defects and help operators and technologists to make decisions. “ says Alexander Smolensky, Business Development Director of Zyfra.

Metalworking machines failures might lead to defects in manufactured parts or cause equipment to break down. Implementation of the system results in cost reduction of manufactured parts, improvement in product quality and decline in spoiled product amount, and reduction of maintenance and repair costs and equipment downtime.

The operating principle of the equipment monitoring system is that each machine automatically transfers data about its own performance into a single digital system. Data about the equipment condition and workload, and its operating model, are sent from the machines to computers and other devices equipped with special software, making it possible to promptly eliminate downtime and providing an objective evaluation of the quality of machine operators work. Zyfra has connected 10,000 CNC Machines to its MDCplus real-time machine monitoring and manufacturing data collection system.

Weekly Brief

Read Also