Uses artificial intelligence to derive the relationship between temperature changes and displacement in machining points.
Employs machine learning to build thermal displacement models using data from multiple temperature sensors.
Predicts and compensates for displacement caused by temperature changes, enabling high-precision and stable machining.
Thermal displacement models are generated automatically via a dedicated “Model Development Tool” based on real-time sensor input.
Compensation files are loaded into the CNC and dynamically adjust machining operations in response to current temperature conditions.
Supports multiple compensation models that can be applied to different machine components, such as main and sub spindles in turn-mill centers.
Accommodates up to 16 temperature sensors per unit, each capable of detecting temperature changes with a precision of 0.01°C.
A specialized Temperature Sensor Input Unit enables easy connection of external sensors for accurate thermal monitoring.
