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Machine Learning Algorithm Optimizes Feeding Speed for Hose Clamp Assembly

Release time: 2025-11-20

A data analytics firm has partnered with a clamp manufacturer to develop a machine learning algorithm for hose clamp assembly machines. The algorithm adjusts the part feeding speed based on real-time material flow, reducing jams by 50% and increasing overall machine efficiency by 15%. The system has been tested on 10 machines, with average uptime rising from 85% to 94%.

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