An overview of technological parameter optimization in the case of laser cladding

K Wang, W Liu, Y Hong, HMS Sohan, Y Tong, Y Hu… - Coatings, 2023 - mdpi.com
This review examines the methods used to optimize the process parameters of laser
cladding, including traditional optimization algorithms such as single-factor, regression …

Part decomposition and assembly-based (Re) design for additive manufacturing: A review

Y Oh, C Zhou, S Behdad - Additive Manufacturing, 2018 - Elsevier
Additive Manufacturing (AM), also known as 3D printing, has been highlighted as a
complementary method to the traditional (subtractive and formative) manufacturing. This …

Energy consumption in additive manufacturing of metal parts

ZY Liu, C Li, XY Fang, YB Guo - Procedia Manufacturing, 2018 - Elsevier
Additive manufacturing (AM) has been widely used to fabricate metal part by using high
energy beam to fully melt feed stock materials layer-upon-layer directly from a digital CAD …

Trends of machine learning in additive manufacturing

FW Baumann, A Sekulla, M Hassler… - … Journal of Rapid …, 2018 - inderscienceonline.com
In this work, the influence on and application of machine learning (ML) to the domain of
Additive Manufacturing or synonymously 3D printing is reviewed. Existing literature is …

Strength-enhanced volume decomposition for multi-directional additive manufacturing

D Bi, M Duan, TY Lau, F **e, K Tang - Additive Manufacturing, 2023 - Elsevier
Multi-axis additive manufacturing exploits additional degrees of freedom to enhance
printability and flexibility compared to conventional 3D printing. Among various multi-axis …

Data model for additive manufacturing digital thread: State of the art and perspectives

R Bonnard, JY Hascoët, P Mognol - International Journal of …, 2019 - Taylor & Francis
Additive Manufacturing (AM) is currently seen as an interesting process for the fabrication of
complex and high value-added functional products. AM is being increasingly used in …

[HTML][HTML] Genetic Algorithm-Based Data-Driven Process Selection System for Additive Manufacturing in Industry 4.0

BA Aljabali, J Shelton, S Desai - Materials, 2024 - mdpi.com
Additive manufacturing (AM) has impacted the manufacturing of complex three-dimensional
objects in multiple materials for a wide array of applications. However, additive …

Status, issues, and future of computer-aided part orientation for additive manufacturing

Y Qin, Q Qi, P Shi, PJ Scott, X Jiang - The International Journal of …, 2021 - Springer
Part orientation is a critical task in the process of additive manufacturing product realisation.
Recently, various computer-aided methods for this task have been presented in the …

Modeling the interplay between process parameters and part attributes in additive manufacturing process with artificial neural network

J Deb, N Ahsan, S Majumder - ASME …, 2022 - asmedigitalcollection.asme.org
In this study, we model the interplay between the process parameters and the part attributes
with artificial neural networks (ANN) to predict the effect of a set of process parameters on …

Automatic generation of alternative build orientations for laser powder bed fusion based on facet clustering

Y Qin, Q Qi, P Shi, PJ Scott, X Jiang - Virtual and Physical …, 2020 - Taylor & Francis
In this paper, a novel facet clustering based method is proposed to generate alternative
build orientations for laser powder bed fusion. This method consists of two steps. First, a …