ALM Defects-ALM Defects Diagnosis and Support

Example

Using X-ray computed tomography (XCT) to identify and analyze porosity within AM parts.

Scenario

In the manufacturing of critical components for aerospace applications, identifying porosity is vital for ensuring part reliability. XCT can provide detailed insights into the size, distribution, and type of porosities, guiding the optimization of printing parameters to minimize defects.

Example

Adjusting laser power, scan speed, and hatch spacing to reduce LOF and gas porosity in metal AM parts.

Scenario

In the production of medical implants using Titanium alloys, precise control of AM process parameters can significantly reduce porosity, enhancing the implants' mechanical properties and biocompatibility.

Example

Conducting mechanical tests, such as tensile, fatigue, and crack growth tests, to assess the impact of AM defects on part performance.

Scenario

For automotive parts subjected to cyclic loads, understanding how porosity affects fatigue life can inform the design and manufacturing process, ensuring parts meet stringent durability requirements.

Example

Employing neutron diffraction and digital image correlation (DIC) techniques to measure residual stresses in AM parts.

Scenario

In fabricating complex tooling for manufacturing industries, assessing and mitigating residual stresses can prevent part distortion and failure, thereby improving tool performance and lifespan.