Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels

Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels

The current research aimed to investigate the critical buckling load of a simply supported aerospace-grade stiffened panel made of additively manufactured cubic lattice unit cell arrays, namely simple cubic, face-centered cubic (FCC) and body-centered cubic (BCC) structures. Ansys Design Modeler was...

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Bibliographic Details
Main Authors: Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Metals
Subjects:
ML algorithms
FEA
lattice unit cell
critical buckling load
additive manufacturing
Online Access:https://www.mdpi.com/2075-4701/15/1/81
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