Machine Monitoring System assesses blade life.

Press Release Summary:




By monitoring performance of saw blade, MechaLogix Cosen Predictive Computing can accurately forecast number of remaining cutting hours left before blade dulls. Cloud-based system also provides real-time performance data and can report issues such as excessive vibration, overheating, and changes in fluid line pressure to minimize downtime. Intuitive and user customizable, MechaLogix offers adjustable alert notification settings that can help schedule planned events.



Original Press Release:



COSEN SAWS Launches MechaLogix Cosen Predictive Computing - A Cloud Based Machine Monitoring Technology



Introducing technology that will revolutionize the metalworking and fabrication industry.



CHARLOTTE, NC – Cosen Saws, a leading global manufacturer of industrial band saws, has introduced MechaLogix Cosen Predictive Computing – a cloud based system that revolutionizes the category with an innovative feature that monitors the performance of a blade and can accurately forecast the number of remaining cutting hours left before a saw blade dulls and is no longer cutting with precision or a complete breakage.



“Know the unknown – now you can,” said Joshua Sun, Business Development Manager for Cosen Saws. “This completely changes the game for cloud based machine monitoring systems. “Our customers have told us how important it is for them to minimize waste and scrap. Having a blade fail in the middle of a cut is one of the primary causes of waste and scrap and it negatively impact profits.”  



“With our technology, both operators and management will know the remaining useful life on a band saw blade” Mr. Sun added. “Gone are the days of tracking machine hours and accumulated cutting area. Now you have advance knowledge of the days and hours before a replacement saw blade is required. That’s what MechaLogix Cosen Predictive Computing does.”



MechaLogix also gives you real time performance data and can report issues like excessive vibration, overheating and changes in fluid line pressure. The root cause of an issue is reported in real time which equates to minimal down time and more efficient operations.   



The technology is intuitive and user customizable. Adjustable alert notification settings work seamlessly with the mobile app. “We have been delighted with the enthusiastic response from our customers who have partnered with us during the course of the program”, said Mr. Sun.



The first public demonstration of MechaLogix takes place at EMO MILANO from October 5-10th, 2015. On November 9-12th, the unveiling of the product in the United States will happen at the Fabtech 2015 trade show being held at McCormick Place in Chicago, IL. 



The comprehensive program includes:    



Blade Life Assessment – Monitoring and alert notification of a saw blade’s remaining useful life.   The technology will provide advance notice of required saw blade replacement.   



Increased Machine Efficiency & Machine Life – Our technology provides real time analysis of individual components and overall machine health status. It can send notification of abnormal conditions from motors and bearings. It also alerts on frequent consumable items like hydraulic and cutting fluid.



Increased Operational Efficiency – Our technology can provide production reports to aid in identifying best practices and training needs. Our advanced monitoring and notification system alerts the operation when machine maintenance is needed which aids efficiency in the scheduling of planned events.  



For more information, go to www.MechaLogix.com



Since its establishment in 1976, Cosen has continued its growth into one of the world’s largest professional band saw manufacturers. Today, Cosen manufactures over 100 models of saws sold to all five continents including Germany and Japan. Cosen’s markets have expanded internationally to over 80 countries through authorized distributors for the metal cutting industry.



www.cosen.com

1-877-729-4641   

news@cosensaws.com    

facebook/Cosensaws   

Twitter@Cosensaws

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