Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing

SS Babu, AHI Mourad, KH Harib… - Virtual and Physical …, 2023 - Taylor & Francis
The application of three-dimensional (3D) printing/Additive Manufacturing (AM) for
developing multi-functional smart/intelligent composite materials is a highly promising area …

[HTML][HTML] Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems

A Dedeloudi, E Weaver, DA Lamprou - International Journal of …, 2023 - Elsevier
A new technological passage has emerged in the pharmaceutical field, concerning the
management, application, and transfer of knowledge from humans to machines, as well as …

Exploring carbon sequestration potential through 3D concrete printing

YWD Tay, SG Lim, SLB Phua, MJ Tan… - Virtual and Physical …, 2023 - Taylor & Francis
As global CO2 concentrations rise, there is a pressing need for sustainable alternatives in
the construction sector as many countries are striving to attain net carbon neutrality …

Process-structure multi-objective inverse optimisation for additive manufacturing of lattice structures using a physics-enhanced data-driven method

K Shi, D Gu, H Liu, Y Chen, K Lin - Virtual and Physical Prototyping, 2023 - Taylor & Francis
Additive manufacturing (AM) has become a practical solution for fabricating lightweight and
high-strength metallic lattice structures. The inverse optimisation of process-structure …

An experimental and numerical investigation on the performance of novel hybrid bio-inspired 3D printed lattice structures for stiffness and energy absorption …

R Doodi, BM Gunji - Mechanics of Advanced Materials and …, 2024 - Taylor & Francis
The modern additive manufacturing process enables the fabrication of innovative structural
designs of lattice structures with enhanced mechanical properties. Characterizing the …

Progress and opportunities for machine learning in materials and processes of additive manufacturing

WL Ng, GL Goh, GD Goh, JSJ Ten… - Advanced …, 2024 - Wiley Online Library
In recent years, there has been widespread adoption of machine learning (ML) technologies
to unravel intricate relationships among diverse parameters in various additive …

[HTML][HTML] How 3D printing technology makes cities smarter: a review, thematic analysis, and perspectives

L Prasittisopin - Smart Cities, 2024 - mdpi.com
Highlights What are the main findings? Key benefits of 3D printing include reducing
construction time and material waste, lowering costs, and enabling the creation of scalable …

Accurate estimation of tensile strength of 3D printed parts using machine learning algorithms

M Jayasudha, M Elangovan, M Mahdal, J Priyadarshini - Processes, 2022 - mdpi.com
Manufacturing processes need optimization. Three-dimensional (3D) printing is not an
exception. Consequently, 3D printing process parameters must be accurately calibrated to …

Deep learning-based framework for the observation of real-time melt pool and detection of anomaly in wire-arc additive manufacturing

M Chandra, S Rajak, V KEK - Materials and Manufacturing …, 2024 - Taylor & Francis
Object detection has become a popular tool of deep learning in the era of digital
manufacturing. In this study, the most powerful and efficient object detection algorithm, ie …

A narrative review of AI-driven predictive maintenance in medical 3D printing

A Boretti - The International Journal of Advanced Manufacturing …, 2024 - Springer
Abstract The integration of Artificial Intelligence (AI)-driven predictive maintenance (PM) into
the management of medical 3D printing machines promises a revolutionary advancement in …