A systematic literature review on recent trends of machine learning applications in additive manufacturing

MD Xames, FK Torsha, F Sarwar - Journal of Intelligent Manufacturing, 2023 - Springer
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …

In-process comprehensive prediction of bead geometry for laser wire-feed DED system using molten pool sensing data and multi-modality CNN

ND Jamnikar, S Liu, C Brice, X Zhang - The International Journal of …, 2022 - Springer
For wire-feed laser additive manufacturing (WLAM), the build geometrical parameters are
one of the indicators of build quality; thus, it is crucial to monitor the geometrical parameters …

Data-efficient neural network for track profile modelling in cold spray additive manufacturing

D Ikeuchi, A Vargas-Uscategui, X Wu, PC King - Applied Sciences, 2021 - mdpi.com
Featured Application This study presents a data-efficient modelling approach for a single-
track profile in Cold Spray Additive Manufacturing using an artificial neural network. The …

Comprehensive molten pool condition-process relations modeling using CNN for wire-feed laser additive manufacturing

N Jamnikar, S Liu, C Brice, X Zhang - Journal of Manufacturing Processes, 2023 - Elsevier
For wire-feed laser additive manufacturing (WLAM), the molten pool dimensional and
thermal profiles are the indicators for achieving the high quality of the build, and they are …

Design and simulation of a flexible bending actuator for solar sail attitude control

M Liu, Z Wang, D Ikeuchi, J Fu, X Wu - Aerospace, 2021 - mdpi.com
This paper presents the design of a flexible bending actuator using shape memory alloy
(SMA) and its integration in attitude control for solar sailing. The SMA actuator has …

Nondestructive measurement of the grain size of laser cladding coatings using a laser ultrasonic method

Y Li, S Hou, Y Chai, Y Zhou, Y Zou - Applied Optics, 2022 - opg.optica.org
Due to the processing characteristics of laser cladding, the beads and joints of the laser
cladding coatings have different grain sizes. We used the laser ultrasonic (LU) method to …

Applying multi-sensor fusion strategy for enhanced predictions of clad hardness and dilution in laser hot-wire cladding process by an ensemble machine learning …

X Chen, M Yao, Y Fu, F Kong - Journal of Manufacturing Processes, 2025 - Elsevier
A multi-sensor system consisting of a high-speed complementary metal oxide
semiconductor (CMOS) camera, an infrared thermal imager, and a spectrometer was initially …

Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation

C O'Donovan, I Popov, G Todeschini… - The International Journal …, 2023 - Springer
Deep learning in computer vision is becoming increasingly popular and useful for tracking
object movement in many application areas, due to data collection burgeoning from the rise …

Image-based modelling and visualisation of the relationship between laser-cut edge and process parameters

L Tatzel, O Al Tamimi, T Haueise, FP León - Optics & Laser Technology, 2021 - Elsevier
This article presents a new way of evaluating the laser cutting process. We show that it is
possible to deduce the underlying process parameters directly from the laser-cut edge using …

Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data

N Jamnikar, S Liu, C Brice, X Zhang - arXiv preprint arXiv:2103.12066, 2021 - arxiv.org
The advancement of machine learning promises the ability to accelerate the adoption of new
processes and property designs for metal additive manufacturing. The molten pool geometry …