Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …
applications in design and manufacturing of more environment-friendly and more …
Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods
H Wang, B Li, J Gong, FZ Xuan - Engineering Fracture Mechanics, 2023 - Elsevier
Fatigue life prediction is critical for ensuring the safe service and the structural integrity of
mechanical structures. Although data-driven approaches have been proven effective in …
mechanical structures. Although data-driven approaches have been proven effective in …
Advanced machine learning techniques to improve hydrological prediction: A comparative analysis of streamflow prediction models
The management of water resources depends heavily on hydrological prediction, and
advances in machine learning (ML) present prospects for improving predictive modelling …
advances in machine learning (ML) present prospects for improving predictive modelling …
Review of transfer learning in modeling additive manufacturing processes
Modeling plays an important role in the additive manufacturing (AM) process and quality
control. In practice, however, only limited data are available for each product due to the …
control. In practice, however, only limited data are available for each product due to the …
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 …
developing multi-functional smart/intelligent composite materials is a highly promising area …
A feature-level multi-sensor fusion approach for in-situ quality monitoring of selective laser melting
Selective laser melting (SLM) is a commonly used technique in additive manufacturing to
produce metal components with complex geometries and high precision. However, the poor …
produce metal components with complex geometries and high precision. However, the poor …
New insight into the multivariate relationships among process, structure, and properties in laser powder bed fusion AlSi10Mg
Abstract While AlSi10Mg has been extensively studied since its introduction, only a relatively
narrow range of processing conditions has been examined during laser powder bed …
narrow range of processing conditions has been examined during laser powder bed …
Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing
M Safdar, PP Paul, G Lamouche, G Wood… - Computers in …, 2024 - Elsevier
Abstract Metal-based Additive Manufacturing (AM) can realize fully dense metallic
components and thus offers an opportunity to compete with conventional manufacturing …
components and thus offers an opportunity to compete with conventional manufacturing …
Metal AM process-structure-property relational linkages using Gaussian process surrogates
In metal additive manufacturing (AM), with sufficient understanding of process-structure–
property (PSP) relational linkages, the control of build parameters can produce parts with …
property (PSP) relational linkages, the control of build parameters can produce parts with …
Multi-objective robust parameter optimization using the extended and weighted k-means (EWK-means) clustering in laser powder bed fusion (LPBF)
Metal additive manufacturing (AM) technology, especially laser powder bed fusion (LPBF),
has received abundant interest from industries and the research community. Process …
has received abundant interest from industries and the research community. Process …