Intelligent additive manufacturing and design: state of the art and future perspectives
In additive manufacturing (AM), intelligent technologies are proving to be a powerful tool for
facilitating economic, efficient, and effective decision-making within the product and service …
facilitating economic, efficient, and effective decision-making within the product and service …
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 …
[HTML][HTML] Machine learning in manufacturing towards industry 4.0: From 'for now'to 'four-know'
While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …
(ML) is playing a critical role in the digitalization of manufacturing operations towards …
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 …
Probabilistic digital twin for additive manufacturing process design and control
P Nath, S Mahadevan - Journal of Mechanical …, 2022 - asmedigitalcollection.asme.org
This paper proposes a detailed methodology for constructing an additive manufacturing
(AM) digital twin for the laser powder bed fusion (LPBF) process. An important aspect of the …
(AM) digital twin for the laser powder bed fusion (LPBF) process. An important aspect of the …
Online thermal field prediction for metal additive manufacturing of thin walls
Various data-driven modeling methods have been developed to predict the thermal field in
metal additive manufacturing (AM). The generalization capability of these models has been …
metal additive manufacturing (AM). The generalization capability of these models has been …
Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
Considering data insufficiency in metal additive manufacturing (AM), transfer learning (TL)
has been adopted to extract knowledge from source domains (eg, completed printings) to …
has been adopted to extract knowledge from source domains (eg, completed printings) to …
Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps
Additive manufacturing (AM) provides a data-rich environment for collecting a variety of
process data. These crucial data can be used to develop effective machine learning (ML) …
process data. These crucial data can be used to develop effective machine learning (ML) …
Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions
Measuring design creativity is an indispensable component of innovation in engineering
design. Properly assessing the creativity of a design requires a rigorous evaluation of the …
design. Properly assessing the creativity of a design requires a rigorous evaluation of the …
Attention-enhanced multimodal learning for conceptual design evaluations
Conceptual design evaluation is an indispensable component of innovation in the early
stage of engineering design. Properly assessing the effectiveness of conceptual design …
stage of engineering design. Properly assessing the effectiveness of conceptual design …