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Machine Learning-Based Prediction of High Cycle Fatigue and Fatigue Crack Growth Rate in LPBF Co-Cr-Mo Alloys Under Varying Scanning Strategies.

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Title: Machine Learning-Based Prediction of High Cycle Fatigue and Fatigue Crack Growth Rate in LPBF Co-Cr-Mo Alloys Under Varying Scanning Strategies.
Authors: Jat, Vinod Kumar1, Patil, Roshan Udaram1,2, Kumar, Manish1,2, Benasciutti, Denis2, denis.benasciutti@uniud.it
Source: Metals (2075-4701); Mar2026, Vol. 16 Issue 3, p249, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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  Data: Machine Learning-Based Prediction of High Cycle Fatigue and Fatigue Crack Growth Rate in LPBF Co-Cr-Mo Alloys Under Varying Scanning Strategies.
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        Value: 10.3390/met16030249
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      – Code: eng
        Text: English
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        StartPage: 249
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      – TitleFull: Machine Learning-Based Prediction of High Cycle Fatigue and Fatigue Crack Growth Rate in LPBF Co-Cr-Mo Alloys Under Varying Scanning Strategies.
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              Text: Mar2026
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              Y: 2026
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              Value: 16
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