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Revealing the underlying mechanism in controlling Young's modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning.

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Title: Revealing the underlying mechanism in controlling Young's modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning.
Authors: Liu, Y.T.1, Chua, C.1,2, Soh, V.3, Sun, Z.3, Chua, C.K.2, cheekai_chua@sutd.edu.sg, Sing, S.L.1, singsl@nus.edu.sg
Source: Virtual & Physical Prototyping; Dec2025, Vol. 20 Issue 1, p1-17, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193165637
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Revealing the underlying mechanism in controlling Young's modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning.
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      – Type: doi
        Value: 10.1080/17452759.2024.2443103
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Revealing the underlying mechanism in controlling Young's modulus of additively manufactured Ti-6Al-4V using fuzzified machine learning.
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            NameFull: Chua, C.
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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