The possibility of predicting the fatigue behavior of additively manufactured materials by means of microstructure- and defect-sensitive models is discussed in this paper. The effects of surface roughness, process-induced defects, and microstructure on the fatigue life of additively manufactured materials are presented, along with discussions on efforts to incorporate the subsequent effects of these features on fatigue performance using fracture mechanics approach, the multistage fatigue model, and numerical modeling and analysis. Such efforts in fatigue modeling are critical to evaluate the reliability of additive manufactured parts in order to further expand their industrial adoption
Additive Manufacturing (AM) of metallic components shows unfavorable properties in their as-built st...
Additive manufacturing technology has gained significant attention in recent years. However, due to ...
Additive manufacturing techniques offer significant advantages over conventional manufacturing metho...
The possibility of predicting the fatigue behavior of additively manufactured materials by means of ...
Abstract Additively manufactured specimens generally exhibit comparable or improved tensile properti...
Metal based Additive Manufacturing (AM) has experienced dynamic growth in recent years. However, th...
A novel defect-based fatigue model for the prediction of S–N (stress versus number of cycles) data p...
Additive manufacturing (AM) is emerging as an alternative to conventional subtractive manufacturing ...
This paper aims to predict the fatigue behavior of additively manufactured alloys using crack-growth...
Additive manufacturing (AM) has drawn tremendous interest in engineering applications because it off...
Design of critical load carrying components utilizing additive manufacturing (AM) processes is still...
The advent of additive manufacturing (AM) processes applied to the fabrication of structural compone...
Additive manufacturing (AM) is a state of the art technology enabling fabrication of complex geometr...
The present study aims to model the fatigue strength of additively manufactured metallic materials ...
Ability to predict the fatigue resistance of parts produced by additive manufacturing (AM) is a very...
Additive Manufacturing (AM) of metallic components shows unfavorable properties in their as-built st...
Additive manufacturing technology has gained significant attention in recent years. However, due to ...
Additive manufacturing techniques offer significant advantages over conventional manufacturing metho...
The possibility of predicting the fatigue behavior of additively manufactured materials by means of ...
Abstract Additively manufactured specimens generally exhibit comparable or improved tensile properti...
Metal based Additive Manufacturing (AM) has experienced dynamic growth in recent years. However, th...
A novel defect-based fatigue model for the prediction of S–N (stress versus number of cycles) data p...
Additive manufacturing (AM) is emerging as an alternative to conventional subtractive manufacturing ...
This paper aims to predict the fatigue behavior of additively manufactured alloys using crack-growth...
Additive manufacturing (AM) has drawn tremendous interest in engineering applications because it off...
Design of critical load carrying components utilizing additive manufacturing (AM) processes is still...
The advent of additive manufacturing (AM) processes applied to the fabrication of structural compone...
Additive manufacturing (AM) is a state of the art technology enabling fabrication of complex geometr...
The present study aims to model the fatigue strength of additively manufactured metallic materials ...
Ability to predict the fatigue resistance of parts produced by additive manufacturing (AM) is a very...
Additive Manufacturing (AM) of metallic components shows unfavorable properties in their as-built st...
Additive manufacturing technology has gained significant attention in recent years. However, due to ...
Additive manufacturing techniques offer significant advantages over conventional manufacturing metho...