Additive manufacturing–A review of hot deformation behavior and constitutive modeling of flow stress
Hot working, as an important group of post-processing routes for additive manufacturing
technology (3D printing), is used to reduce the solidification/processing defects and …
technology (3D printing), is used to reduce the solidification/processing defects and …
[HTML][HTML] Machine learning for advanced energy materials
The screening of advanced materials coupled with the modeling of their quantitative
structural-activity relationships has recently become one of the hot and trending topics in …
structural-activity relationships has recently become one of the hot and trending topics in …
[HTML][HTML] Using deep neural network with small dataset to predict material defects
Deep neural network (DNN) exhibits state-of-the-art performance in many fields including
microstructure recognition where big dataset is used in training. However, DNN trained by …
microstructure recognition where big dataset is used in training. However, DNN trained by …
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …
understanding of materials behavior has been the focus of many works in computational …
A digital twin for rapid qualification of 3D printed metallic components
The customized production of complex components by 3D printing has been hailed as a
potentially transformative tool in manufacturing with important applications in health care …
potentially transformative tool in manufacturing with important applications in health care …
Supervised machine-learning-based determination of three-dimensional structure of metallic nanoparticles
Tracking the structure of heterogeneous catalysts under operando conditions remains a
challenge due to the paucity of experimental techniques that can provide atomic-level …
challenge due to the paucity of experimental techniques that can provide atomic-level …
Steels for bearings
H Bhadeshia - Progress in materials Science, 2012 - Elsevier
A casual metallurgist might be forgiven in believing that there are but a few basic types of
steels used in the manufacture of some of the most technologically important engineering …
steels used in the manufacture of some of the most technologically important engineering …
High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach
Variations in the high cycle fatigue response of laser powder bed fusion materials can be
caused by the choice of processing and post-processing strategies. The numerous …
caused by the choice of processing and post-processing strategies. The numerous …
Building digital twins of 3D printing machines
Geometrical conformity, microstructure and properties of additively manufactured (AM)
components are affected by the desired geometry and many process variables within given …
components are affected by the desired geometry and many process variables within given …
[LIVRE][B] Titanium matrix composites
G Lütjering, JC Williams, G Lütjering, JC Williams - 2003 - Springer
Titanium matrix composites (TMCs) consist of a titanium matrix containing continuous
reinforcing fibers. Development of these materials began more than 20 years ago when the …
reinforcing fibers. Development of these materials began more than 20 years ago when the …