Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review

A Hamrani, A Agarwal, A Allouhi… - Journal of Intelligent …, 2024 - Springer
Due to its unique benefits over standard conventional “subtractive” manufacturing, additive
manufacturing is attracting growing interest in academic and industrial sectors. Here, special …

Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review

G Mattera, L Nele, D Paolella - Journal of Intelligent Manufacturing, 2024 - Springer
Abstract Wire Arc Additive Manufacturing is a Direct Energy Deposition additive technology
that uses the principle of wire welding to deposit layers of material to create a finished …

Analytical modelling of heat accumulation in laser based additive manufacturing processes of metals

C Hagenlocher, P O'Toole, W Xu, M Brandt… - Additive …, 2022 - Elsevier
The flexibility of additive manufacturing processes results from the principle of subsequently
adding small amounts of material in individual layers or beads on top of each other. The …

On the connection of the heat input to the forming quality in wire-and-arc additive manufacturing of stainless steels

MC Bui, TD Nguyen - Vacuum, 2023 - Elsevier
WAAM (wire-and-arc additive manufacturing) is recently gaining much interest for the
fabrication of parts with wide size. A crucial issue associated to this technology is how to …

GPyro: uncertainty-aware temperature predictions for additive manufacturing

I Sideris, F Crivelli, M Bambach - Journal of Intelligent Manufacturing, 2023 - Springer
In additive manufacturing, process-induced temperature profiles are directly linked to part
properties, and their prediction is crucial for achieving high-quality products. Temperature …

Assessment of microstructure development, defect formation, innovations, and challenges in wire arc based metal additive manufacturing

G Kishor, KK Mugada, RP Mahto… - Proceedings of the …, 2024 - journals.sagepub.com
The demand for additive manufacturing of large-size metallic components at optimum cost
with high deposition rates (ranging from 1 to 10 kg/hr.) has driven substantial progress in …

Physics-informed machine learning models for the prediction of transient temperature distribution of ferritic steel in directed energy deposition by cold metal transfer

A Kumar, R Sarma, S Bag… - … and Technology of …, 2023 - journals.sagepub.com
In-situ monitoring of the additive layer characteristics in the directed energy deposition
(DED) process by any contact technology is cumbersome. A well-tested finite element (FE) …

A fast simulation method for thermal management in wire arc additive manufacturing repair of a thin-walled structure

P Qvale, EB Njaastad, T Bræin, X Ren - The International Journal of …, 2024 - Springer
Ensuring first-time-right on-site repair of critical structures is a key challenge for additive
manufacturing (AM)–based repair solutions. Fast thermal simulations are thus needed to …

Transferability of Temperature Evolution of Dissimilar Wire-Arc Additively Manufactured Components by Machine Learning

HM Fagersand, D Morin, KM Mathisen, J He, Z Zhang - Materials, 2024 - mdpi.com
Wire-arc additive manufacturing (WAAM) is a promising industrial production technique.
Without optimization, inherent temperature gradients can cause powerful residual stresses …

Numerical simulation for microstructure control in wire arc additive manufacturing of thin-walled structures

L Zhang, H Zhou, J Chen, H Wang, W Liu, Z Zhang… - Thin-Walled …, 2024 - Elsevier
The difference of cooling rates on the surface and the interior of thin-walled structures leads
to significant differences of microstructures in additive manufacturing (AM). To reveal the …