[HTML][HTML] Laser powder bed additive manufacturing: A review on the four drivers for an online control

F Lupi, A Pacini, M Lanzetta - Journal of Manufacturing Processes, 2023 - Elsevier
Abstract Online control of Additive Manufacturing (AM) processes appears to be the next
challenge in the transition toward Industry 4.0 (I4. 0). Although many efforts have been …

Advances in computational modeling for laser powder bed fusion additive manufacturing: A comprehensive review of finite element techniques and strategies

D Sarkar, A Kapil, A Sharma - Additive Manufacturing, 2024 - Elsevier
The laser powder bed fusion process, a prominent additive manufacturing method, involves
intricate thermal dynamics and stress distribution. Despite the mature knowledge base in …

Optical tomography and machine learning for in-situ defects detection in laser powder bed fusion: A self-organizing map and U-Net based approach

O Ero, K Taherkhani, E Toyserkani - Additive Manufacturing, 2023 - Elsevier
The inherently stochastic nature of the laser powder bed fusion (LPBF) process presents a
significant challenge in developing dependable and efficient defect detection algorithms that …

Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography

S Jia, J Sun, A Howes, MR Dawson… - Journal of Manufacturing …, 2024 - Elsevier
Two-photon lithography (TPL) is an additive manufacturing technique to produce three-
dimensional (3D) micro-and nano-scale structures. Geometric accuracy is of vital importance …

Fabrication of hierarchical micro-groove structures by vibration assisted end fly cutting

G Zhang, Y Ma, T Luo, S Cao, Z Huang - Journal of Materials Processing …, 2023 - Elsevier
Bionic linear micro-groove structure is a common structure in nature, with special functions
such as self-cleaning and structural color. Although fast tool servo assisted diamond turning …

A comprehensive review of recent advances in laser powder bed fusion characteristics modeling: metallurgical and defects

SF Nabavi, H Dalir, A Farshidianfar - The International Journal of …, 2024 - Springer
This comprehensive review explores recent advancements in laser powder bed fusion
(LPBF) modeling, with a particular focus on metallurgical, temperature, and defect aspects …

A data-driven framework to improve the wear resistance of a low-alloy steel fabricated by laser powder bed fusion

J Zhang, S Patel, Z Liu, T Lyu, Y Wang, Y Hua… - Journal of Manufacturing …, 2024 - Elsevier
The laser powder bed fusion (LPBF) technique provides an opportunity to precisely control
process parameters and produce materials with desired microstructure, which play an …

[HTML][HTML] A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion

S Toorandaz, K Taherkhani, F Liravi, E Toyserkani - Additive Manufacturing, 2024 - Elsevier
Controlling and optimizing surface roughness remain a significant challenge in laser powder
bed fusion (LPBF). Surface roughness affects printed part quality, particularly fatigue life …

Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion …

V Pandiyan, A Baganis, R Axel Richter… - Virtual and Physical …, 2024 - Taylor & Francis
Growing demand for multi-material Laser Powder Bed Fusion (LPBF) faces process control
and quality monitoring challenges, particularly in ensuring precise material composition …

[HTML][HTML] Local porosity prediction in metal powder bed fusion using in-situ thermography: A comparative study of machine learning techniques

S Oster, N Scheuschner, K Chand, SJ Altenburg - Additive Manufacturing, 2024 - Elsevier
The formation of flaws such as internal porosity in parts produced by metal-based powder
bed fusion with laser beam (PBF-LB/M) significantly hinders its broader industrial …