Application of machine learning in polymer additive manufacturing: A review

T Nasrin, F Pourkamali‐Anaraki… - Journal of Polymer …, 2024 - Wiley Online Library
Additive manufacturing (AM) is a revolutionary technology that enables production of
intricate structures while minimizing material waste. However, its full potential has yet to be …

Application of artificial intelligence for surface roughness prediction of additively manufactured components

T Batu, HG Lemu, H Shimels - Materials, 2023 - mdpi.com
Additive manufacturing has gained significant popularity from a manufacturing perspective
due to its potential for improving production efficiency. However, ensuring consistent product …

[HTML][HTML] Use of Machine Learning to Improve Additive Manufacturing Processes

I Rojek, J Kopowski, J Lewandowski, D Mikołajewski - Applied Sciences, 2024 - mdpi.com
Featured Application Potential applications of the work include new artificial intelligence-
based software for optimizing 3D printing and products and services realized through …

TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins

M Kannapinn, M Schäfer, O Weeger - Engineering Computations, 2024 - emerald.com
Purpose Simulation-based digital twins represent an effort to provide high-accuracy real-
time insights into operational physical processes. However, the computation time of many …

Progress in Vat Photopolymerisation Additive Manufacturing of Ceramic Lattice Structures and Applications

Q Arshad, M Saqib, MA Arshad, M Raza… - Thin-Walled …, 2025 - Elsevier
Additive manufacturing (AM) through vat photopolymerisation (VPP) of ceramics has
emerged as a transformative approach, enabling precise geometric control which is …

Compressive and flexural mechanical responses of components obtained through mSLA vat photopolymerization technology

A Milovanović, M Montanari, Z Golubović… - Theoretical and Applied …, 2024 - Elsevier
Abstract In recent years, Additive Manufacturing (AM) has become an increasingly popular
method in industrial applications for fabricating components with complex geometries …

Rate-dependent energy dissipation of graded viscoelastic structures fabricated by grayscale vat photopolymerization

I Valizadeh, O Weeger - Smart Materials and Structures, 2024 - iopscience.iop.org
A major benefit of additive manufacturing technologies is precise control over structural
topologies and material properties, which allows to tailor, for instance, energy absorption …

Numerical investigation on the deformation and breakup of an elastoviscoplastic droplet in simple shear flow

H Zhang, W Gong, W Yuan, B Meng - Physics of Fluids, 2024 - pubs.aip.org
In this paper, direct numerical simulations (DNSs) are performed to investigate the
deformation and breakup of an elastoviscoplastic (EVP) droplet in a Newtonian matrix under …

Neural networks meet hyperelasticity: A monotonic approach

DK Klein, M Hossain, K Kikinov, M Kannapinn… - arXiv preprint arXiv …, 2025 - arxiv.org
We apply physics-augmented neural network (PANN) constitutive models to experimental
uniaxial tensile data of rubber-like materials whose behavior depends on manufacturing …

Taguchi optimization of mask stereolithographic 3D printing parameters for tensile strengthening of functionally graded resins

H Sharifi, A Adib, Z Ahmadi, E Gemikonakli… - International Journal on …, 2024 - Springer
Additive manufacturing (AM) is a recently developed fabrication technology that allows the
development of stronger and lighter components. The aim of this research is to study and …