Machine learning design for high-entropy alloys: models and algorithms
S Liu, C Yang - Metals, 2024 - mdpi.com
High-entropy alloys (HEAs) have attracted worldwide interest due to their excellent
properties and vast compositional space for design. However, obtaining HEAs with low …
properties and vast compositional space for design. However, obtaining HEAs with low …
[HTML][HTML] Machine learning for additive manufacturing: Predicting materials characteristics and their uncertainty
D Chernyavsky, DY Kononenko, JH Han, HJ Kim… - Materials & Design, 2023 - Elsevier
Additive manufacturing (AM) is known for versatile fabrication of complex parts, while also
allowing the synthesis of materials with desired microstructures and resulting properties …
allowing the synthesis of materials with desired microstructures and resulting properties …
Inconel-718 processing windows by directed energy deposition: a framework combining computational fluid dynamics and machine learning models with …
In directed energy deposition (DED), it is widely known that the printed layer dimensions and
morphology are highly affected by the process parameters, which affect the performance of …
morphology are highly affected by the process parameters, which affect the performance of …
[HTML][HTML] Efficient searching of processing parameter space to enable inverse microstructural design of materials
DY Wu, TC Hufnagel - Acta Materialia, 2024 - Elsevier
Materials design can be accelerated by the use of physics-based forward models that
predict the properties of new materials. In cases where the properties of the material depend …
predict the properties of new materials. In cases where the properties of the material depend …
Additive manufacturing of Inconel-625: from powder production to bulk samples printing
A Ur Rehman, B Karakas, MA Mahmood… - Rapid Prototyping …, 2023 - emerald.com
Purpose For metal additive manufacturing, metallic powders are usually produced by
vacuum induction gas atomization (VIGA) through the breakup of liquid metal into tiny …
vacuum induction gas atomization (VIGA) through the breakup of liquid metal into tiny …
An expert system for analysing the printability and integratability of assembly structures under the context of design for additive manufacturing
M Yang, W Dai, P Jiang - Journal of Engineering Design, 2023 - Taylor & Francis
Additive manufacturing (AM) has the capability of producing parts with more complicated
shapes and functions compared with subtractive manufacturing. Design for additive …
shapes and functions compared with subtractive manufacturing. Design for additive …
Global excellence in digital manufacturing: Europe
The main concept of digital manufacturing (DM) is the blending of a wide range of
cuttingedge technologies into conventional industrial processes, including additive …
cuttingedge technologies into conventional industrial processes, including additive …
Understanding the consolidation mechanism of selective laser sintering/powder bed selective laser process of ceramics: Hydroxyapatite case
A Ur Rehman, P Navarrete-Segado… - Rapid Prototyping …, 2024 - emerald.com
Purpose The consolidation process and morphology evolution in ceramics-based additive
manufacturing (AM) are still not well-understood. As a way to better understand the ceramic …
manufacturing (AM) are still not well-understood. As a way to better understand the ceramic …
A novel framework for identification of cyber-physical attacks in additive manufacturing
In the era of technological advancements, additive manufacturing systems now facilitate
users in remotely submitting their jobs. This collaborative approach empowers communities …
users in remotely submitting their jobs. This collaborative approach empowers communities …