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...

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Detaylı Bibliyografya
Asıl Yazarlar:	Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Elsevier 2024-10-01
Seri Bilgileri:	Materials & Design
Konular:	Composites Fatigue Metal alloys Machine learning Void Minimal data
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S0264127524007305
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A generalized machine learning framework to estimate fatigue life across materials with minimal data

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