[HTML][HTML] Research and application of machine learning for additive manufacturing
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …
[HTML][HTML] Machine learning in predicting mechanical behavior of additively manufactured parts
S Nasiri, MR Khosravani - Journal of materials research and technology, 2021 - Elsevier
Although applications of additive manufacturing (AM) have been significantly increased in
recent years, its broad application in several industries is still under progress. AM also …
recent years, its broad application in several industries is still under progress. AM also …
Machine learning‐driven biomaterials evolution
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …
achieve desired biological responses. While there is constant evolution and innovation in …
A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …
efficiently and in a lesser production cycle time as compared to conventional subtractive …
Promises and perils of artificial intelligence in dentistry
F Pethani - Australian Dental Journal, 2021 - Wiley Online Library
Artificial intelligence (AI) is a subdiscipline of computer science that has made substantial
progress in medicine and there is a growing body of AI research in dentistry. Dentists should …
progress in medicine and there is a growing body of AI research in dentistry. Dentists should …
Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities
I Sachdeva, S Ramesh, U Chadha, H Punugoti… - Neural Computing and …, 2022 - Springer
Artificial intelligence has played a potential role in present technological advancements. In
terms of additive manufacturing or 3D printing techniques, computational AI models and …
terms of additive manufacturing or 3D printing techniques, computational AI models and …
A Data‐Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U‐Nets and Generative Adversarial …
Data‐driven U‐net machine learning (ML) models, including the pix2pix conditional
generative adversarial network (cGAN), are shown to predict 3D printed voxel geometry in …
generative adversarial network (cGAN), are shown to predict 3D printed voxel geometry in …
A review of physics-based learning for system health management
The monitoring process for complex infrastructure requires collecting various data sources
with varying time scales, resolutions, and levels of abstraction. These data sources include …
with varying time scales, resolutions, and levels of abstraction. These data sources include …
[HTML][HTML] Biomaterials by design: Harnessing data for future development
Biomaterials is an interdisciplinary field of research to achieve desired biological responses
from new materials, regardless of material type. There have been many exciting innovations …
from new materials, regardless of material type. There have been many exciting innovations …
Improving precision of material extrusion 3D printing by in-situ monitoring & predicting 3D geometric deviation using conditional adversarial networks
Material extrusion 3D printing has long been established for rapid prototyping and functional
testing in many research and industry fields. However, its inconsistency and intrinsic defects …
testing in many research and industry fields. However, its inconsistency and intrinsic defects …