Topology optimization via machine learning and deep learning: A review

S Shin, D Shin, N Kang - Journal of Computational Design and …, 2023 - academic.oup.com
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given
load and boundary conditions within a design domain. This method enables effective design …

Topology optimization approach for functionally graded metamaterial components based on homogenization of mechanical variables

I Ben-Yelun, L Saucedo-Mora, MÁ Sanz… - Computers & …, 2023 - Elsevier
The micron resolutions that 3D printers are reaching allow for a change of paradigm in the
design of components, optimizing not only the topology of the component, but also the …

Converting pixel‐type topology optimization results to MMC‐representation based on sparse optimization and its applications

R Ling, G Xu, X Zhang, J Xu… - International Journal for …, 2024 - Wiley Online Library
How to realize the switching between various topology optimization approaches such as
SIMP and moving morphable component (MMC) method, is a crucial challenge in the field of …

Large language model agent as a mechanical designer

Y Jadhav, AB Farimani - arXiv preprint arXiv:2404.17525, 2024 - arxiv.org
Conventional mechanical design paradigms rely on experts systematically refining concepts
through experience-guided modification and FEA to meet specific requirements. However …

A partitioned combined computational method for multi‐scale dynamic systems

P Yuan, S Adhikari, Y Dong - International Journal for …, 2023 - Wiley Online Library
A partitioned/combined computational method based on Newmark scheme is proposed to
analyze dynamic systems with different temporal scales and element scales. To effectively …

Reduced order topology optimisation of a planar honeycomb defined by a linear elastic Ti6al4V (ELI) material model

MI Chibinyani, TC Dzogbewu, M Maringa… - South African Journal of …, 2022 - scielo.org.za
Combined numerical modelling and topology optimisation methods are useful in the design
and analysis of engineering structures. The two tools are used to predict and optimise the …

[HTML][HTML] Load introduction specimen design for the mechanical characterisation of lattice structures under tensile loading

J Jung, G Meyer, M Greiner, C Mittelstedt - Journal of Manufacturing and …, 2023 - mdpi.com
In recent years, it has been demonstrated that the lightweight potential of load-carrying
structural components could be further enhanced using additive manufacturing technology …

Surrogate-assisted optimization under uncertainty for design for remanufacturing considering material price volatility

M Tabassum, K De Brabanter, GE Kremer - Sustainable Materials and …, 2024 - Elsevier
Remanufacturing is a well-established end-of-life (EOL) strategy that promises significant
savings in energy and carbon emissions. However, the current design practices are not …

[HTML][HTML] 3D decomposition optimization of topology-optimized structures considering a build volume constraint for additive manufacturing

H Kim, IY Kim - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
The integration of topology optimization and additive manufacturing (AM) offers a
transformative approach to designing and fabricating complex structures across various …

SIMP Phase-field topology optimization framework to maximize fracture resistance in FGMs

PKAV Kumar, P Li, J Reinoso, QC He, J Yvonnet… - Composite …, 2024 - Elsevier
In this study, we explore the use of SIMP topology optimization and the phase field approach
to fracture to maximize fracture resistance in functionally graded materials (FGMs) in the …