Fatigue Assessment of Additively Manufactured Inconel 718 Specimens

Klas Solberg's dataset analyzes the fatigue behavior of notched and unnotched Inconel 718 specimens produced by additive manufacturing. The data includes analysis of specimens in as-built and heat-treated conditions, examining surface roughness, defects, and microstructural features like sub-grains and dislocation density. SN-curves are predicted based on tensile properties, hardness, and fractography data using the √area-method.

Use Cases

• Predicting fatigue life (SN-curves) based on tensile properties and hardness data mentioned in the description.
• Analyzing the effect of heat treatment on microstructural recovery and dislocation density.
• Comparing fatigue initiation sites and performance between notched and unnotched specimen geometries.
• Modeling the influence of surface roughness and manufacturing defects on fatigue behavior.

Strengths

• Dataset includes analysis of specimens in two distinct material conditions: as-built and heat-treated.
• Fatigue analysis incorporates multiple data sources: tensile properties, hardness measurements, and fractography.
• Applies a specific predictive methodology (the √area-method) for generating SN-curves.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Klas Solberg

Collection Method

Experimental analysis of additively manufactured specimens.