The article presents two distinct measures for fatigue damage detection in additively manufactured AlSi10Mg specimens with a one-sided V-notch. The specimens are fabricated on a ProX-320 laser powder bed fusion equipment with recycled AlSi10Mg powders using vetted process parameters as suggested by 3D Systems. The process of fatigue damage evolution is monitored using two heterogeneous sensing techniques, namely, the force-displacement sensors and a confocal microscope. The force and displacement sensors are embedded in the fatigue testing apparatus to capture the global effects of the stress-strain behavior of the specimens; however, it provides no information about the local damage near the notch. The force-displacement time-series...
Metal additive manufacturing (AM) has progressed from a pure research topic to an indispensable manu...
Additive manufacturing allows the production of complex components for critical applications such as...
While the adoption of metal additive manufacturing (AM) is growing exponentially owing to its wide r...
The article presents two distinct measures for fatigue damage detection in additively manufactured ...
Ability to predict the fatigue resistance of parts produced by additive manufacturing (AM) is a very...
One of the challenges associated with additive manufacturing (AM) is the definition of an assessment...
International audienceThis work shows the impact of microstructure and defect on the fatigue life of...
Additive manufacturing is an emerging technique that is not only subjected to the interest of academ...
This work aims to study the fatigue behavior of thin-walled structures and the possi- ble influence ...
International audienceA modelling strategy is proposed to evaluate the influence of defect morpholog...
The fatigue behavior of metallic materials fabricated via additive manufacturing processes is curren...
This study focuses on the influence of defects on the fatigue behavior of AlSi7Mg0.6 alloy produced ...
This study investigated the effects of the ‘as-built’ condition on the fatigue properties of an AlSi...
A novel defect-based fatigue model for the prediction of S–N (stress versus number of cycles) data p...
Advances in machine systems and scanning technologies have increased the use of selective laser melt...
Metal additive manufacturing (AM) has progressed from a pure research topic to an indispensable manu...
Additive manufacturing allows the production of complex components for critical applications such as...
While the adoption of metal additive manufacturing (AM) is growing exponentially owing to its wide r...
The article presents two distinct measures for fatigue damage detection in additively manufactured ...
Ability to predict the fatigue resistance of parts produced by additive manufacturing (AM) is a very...
One of the challenges associated with additive manufacturing (AM) is the definition of an assessment...
International audienceThis work shows the impact of microstructure and defect on the fatigue life of...
Additive manufacturing is an emerging technique that is not only subjected to the interest of academ...
This work aims to study the fatigue behavior of thin-walled structures and the possi- ble influence ...
International audienceA modelling strategy is proposed to evaluate the influence of defect morpholog...
The fatigue behavior of metallic materials fabricated via additive manufacturing processes is curren...
This study focuses on the influence of defects on the fatigue behavior of AlSi7Mg0.6 alloy produced ...
This study investigated the effects of the ‘as-built’ condition on the fatigue properties of an AlSi...
A novel defect-based fatigue model for the prediction of S–N (stress versus number of cycles) data p...
Advances in machine systems and scanning technologies have increased the use of selective laser melt...
Metal additive manufacturing (AM) has progressed from a pure research topic to an indispensable manu...
Additive manufacturing allows the production of complex components for critical applications such as...
While the adoption of metal additive manufacturing (AM) is growing exponentially owing to its wide r...