iQ Monozukuri Machine Tool Wear Diagnosis

Instantly detect blade breakage, blade chipping, and workpiece defects! Assess tool sharpness and predict replacement timing.

Introducing the FA application package "iQ Monozukuri Machine Tool Wear Diagnosis," which can predict tool life based on processing conditions. It instantly detects blade breakage, chipping, and workpiece defects for various types of processing, preventing processing defects. By utilizing an abnormal diagnosis model, it detects processing defects before the inspection process, preventing the mass production of defective products. Additionally, by linking with the separately sold "Advanced Data Science Tool," it creates high-precision quality (for automatic inspection) prediction models through machine learning of the relationship between IoT data and quality (inspection data), enabling automatic detection of processing anomalies. 【Features】 ■ Detects tool loss and prevents quality defects ■ Assesses tool sharpness and predicts replacement timing ■ Predicts processing accuracy through machine learning ■ Traceability of processing data *For more details, please download the PDF or feel free to contact us.

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