A mechanical property prediction system for G-Lattices via machine learning-Reference-Cited by-同舟云学术

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A mechanical property prediction system for G-Lattices via machine learning

Published:2024-01-11 Issue: Volume: Page:1-19
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Armanfar Arash¹^ORCID,Taşmektepligil A. Alper¹²^ORCID,Ustundag Ersan¹^ORCID,Lazoglu Ismail³^ORCID,Gunpinar Erkan¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Istanbul Technical University, Istanbul, Turkey

2. Department of Mechanical Engineering, Yıldız Technical University, Istanbul, Turkey

3. Manufacturing and Automation Research Center, Koc University, Istanbul, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2023.2295353

Reference29 articles.

1. Effect of strut length and orientation on elastic mechanical response of modified body-centered cubic lattice structures

2. G-Lattices: A Novel Lattice Structure and Its Generative Synthesis Under Additive Manufacturing Constraints

3. G-Puzzle: Infilling 3D Models With Reinforced G-Lattices

4. New Approach for Planning Out of Experiments;Audze P.;Problems Dynamics and Strengths,1977

5. Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results

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1. The role of machine learning for insight into the material behavior of lattices: A surrogate model based on data from finite element simulation;Results in Engineering;2024-09

2. Ultra-stiff and quasi-elastic-isotropic triply periodic minimal surface structures designed by deep learning;Materials & Design;2024-08

3. Embedding lattice structures into ship hulls for structural optimization and additive manufacturing;Ocean Engineering;2024-06

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