Beyond the Visible: Predicting Metal Breakdown with Machine Learning
Our eyes can't see the enemy within, but machine learning (ML) can! Metal looks strong, but tiny processes lead to its breakdown – rust. ML goes beyond the visible, analyzing vast amounts of data to predict and prevent this silent threat. Imagine powerful computers mimicking how molecules interact with metal. By feeding ML this simulated world, scientists can see how different elements – like heat or salt – accelerate corrosion. This data empowers them to design better materials and protective coatings. It's like giving metal a crystal ball. ML predicts weak spots before they become gaping holes, saving bridges, pipelines, and even that classic car you love.
| Autor: | Sandeep |
|---|---|
| ISBN: | 9783384269119 |
| Sprache: | Englisch |
| Seitenzahl: | 152 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | tredition |
| Veröffentlicht: | 22.06.2024 |
| Schlagworte: | Anomaly detection Industrial automation Machine learning algorithms Material science Metal fatigue Non-destructive testing (NDT) Predictive maintenance Prognostics and health management (PHM) Sensor data analysis Structural health monitoring |
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