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

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Bibliographic Details
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
Description
ISSN:17452759
DOI:10.1080/17452759.2024.2443103