研究目的
To evaluate the effect of surface topography on fatigue behavior of Ti6Al4V alloy specimens obtained by selective laser melting (SLM), focusing on top and side surfaces, and comparing them with machined surface specimens.
研究成果
The study confirms that surface roughness significantly affects the fatigue life of Ti6Al4V alloy specimens produced by SLM. Higher surface roughness and reduced valley depth lead to a decrease in fatigue life. The laser scanning path also influences crack initiation, with side surfaces showing lower fatigue life than top surfaces due to higher roughness and the staircase effect inherent to AM surfaces.
研究不足
The study focuses on the influence of surface topography on fatigue behavior but acknowledges that other factors such as internal defects, residual stresses, and post-treatments also play significant roles. The research is limited to Ti6Al4V alloy specimens produced by SLM.
1:Experimental Design and Method Selection
The study used the same laser parameters and scan strategy for all specimens to ensure a sample density higher than 99.5%. Two different surface topographies were obtained by using the top and side surfaces of the specimens.
2:Sample Selection and Data Sources
Ti6Al4V alloy feedstock powder with a spherical morphology and specific particle size distribution was used. Specimens were produced on the same construction plate with a ProX? DMP 200 SLM equipment.
3:List of Experimental Equipment and Materials
ProX? DMP 200 SLM equipment, Instron 8801 for four-point bending fatigue tests, SEM LEO 1350 FEG for fracture surface analysis, Infinitefocus G5 focus variation microscope for surface topography measurement.
4:Experimental Procedures and Operational Workflow
Specimens were detached from the plate by wire EDM after heat treatment. Four-point bending fatigue tests were performed with a maximum stress of 870 MPa and R=-1 until failure. Surface topographies were measured with a focus variation microscope.
5:Data Analysis Methods
Fracture surface features were analyzed by SEM and focus variation microscopy. Surface roughness parameters Sa and Svk were plotted versus the number of cycles to failure N.
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