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LATTUADA
From machines to smart manufacturing: Lattuada’ s integrated vision for glass processing
Today’ s glass processors face a common challenge: increasing productivity while maintaining consistent quality, reducing labor dependency and preparing for the transition toward Industry 4.0 / 5.0
Lattuada addresses these needs through a fully integrated approach that combines advanced grinding and washing technologies, intelligent automation, robotic solutions and digital process control. Grinding has always been at the heart of Lattuada’ s expertise. With more than 40 models of straightline edging and beveling machines, the company offers solutions capable of meeting virtually any production requirement, from interior design and furniture applications to the processing of laminated, oversized and extra-thick glass. The TL, TLR, TLS and GAM- MA series are designed to deliver high edge quality, productivity and reliability while being fully prepared for integration into automated and robotic production environments. A key element of this evolution is the adoption of intelligent automation technologies such as A-WR( Automatic Wheels Wear Regulation) and i-AL. These systems automate machine setup, wheel wear compensation and process parameter management, eliminating manual adjustments and reducing setup times from several minutes to less than one minute. The result is greater process consistency, improved quality and significantly higher operational efficiency. The most advanced expression of this philosophy is represented by the i-AL Limited Edition, developed on the proven TLR and TLS platforms. More than a machine, it is a complete technological ecosystem that combines premium mechanical engineering, intelligent automation, robotics readiness, IoT connectivity and advanced digital tools. Enhanced machine architecture, automatic process management and integrated monitoring systems allow glass processors to achieve higher productivity, greater reliability and reduced dependency on operator skills. The i-AL Limited Edition also introduces predictive maintenance capabilities through condition-monitoring sensors that continuously analyze critical machine parameters. Potential anomalies can be detected before impacting production, reducing unplanned downtime and optimizing maintenance activities. At the same time, energy-monitoring functions help control consumption and improve operational efficiency. Automation reaches its full po-
48 Special Glasstec 2026
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