A Hybrid Data-Driven Metaheuristic Framework to Optimize Strain of Lattice Structures Proceeded by Additive Manufacturing

A Hybrid Data-Driven Metaheuristic Framework to Optimize Strain of Lattice Structures Proceeded by Additive Manufacturing

This research is centered on optimizing the mechanical properties of additively manufactured (AM) lattice structures via strain optimization by controlling different design and process parameters such as stress, unit cell size, total height, width, and relative density. In this regard, numerous topo...

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Bibliographic Details
Main Authors: Tao Zhang, Uzair Sajjad, Akash Sengupta, Mubasher Ali, Muhammad Sultan, Khalid Hamid
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Micromachines
Subjects:
genetic algorithm
deep learning
additive manufacturing
lattice structure
topology optimization
Online Access:https://www.mdpi.com/2072-666X/14/10/1924

Internet

https://www.mdpi.com/2072-666X/14/10/1924

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