A generalized machine learning framework to estimate fatigue life across materials with minimal data

A generalized machine learning framework to estimate fatigue life across materials with minimal data

In this research, a generalized machine learning (ML) framework is proposed to estimate the fatigue life of epoxy polymers and additively manufactured AlSi10Mg alloy materials, leveraging their failure surface void characteristics. An extreme gradient boosting algorithm-based ML framework encompassi...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos
स्वरूप: लेख
भाषा:English
प्रकाशित: Elsevier 2024-10-01
श्रृंखला:Materials & Design
विषय:
Composites
Fatigue
Metal alloys
Machine learning
Void
Minimal data
ऑनलाइन पहुंच:http://www.sciencedirect.com/science/article/pii/S0264127524007305

इंटरनेट

http://www.sciencedirect.com/science/article/pii/S0264127524007305

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