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SI: Crack Paths Views: 1,573 Downloads: 808 Vol. 13, No. 48 (2019) February 25, 2019 pp. 105-115

Influence of secondary dendrite arm spacing (SDAS) on the fatigue properties of different conventional automotive aluminum cast alloys

Sascha Gerbe, Ulrich Krupp, Wilhelm Michels

For industrial in-series castings, the presence of casting defects, like porosity, geometrically complex intermetallic precipitates and the occurrence of eutectic silicon of varying morphologies, is well known but hard to prevent due to…

10.3221/IGF-ESIS.48.13

Details: Influence of secondary dendrite arm spacing (SDAS) on the fatigue properties of different conventional automotive aluminum cast alloys PDF Visual Abstract

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Fatigue and Fracture of metallic alloys Views: 280 Downloads: 180 Vol. 20, No. 76 (2026) March 18, 2026 pp. 265-276

Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach

Nesrine Majed, Anouar Nasr, Wided Bel Haj Sghaier, Marwa Youssef

The present study develops a knowledge-based machine learning framework for estimating the fatigue life of Al alloy using a combination of data-driven models and an empirical equation. Three different ML models were developed and tested…

10.3221/IGF-ESIS.76.16

Details: Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach PDF HTML Visual Abstract

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Influence of secondary dendrite arm spacing (SDAS) on the fatigue properties of different conventional automotive aluminum cast alloys

Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach