Lawrence Livermore National Laboratory



This task focuses on accelerating characterization by identifying the minimum amount of characterization to be done, minimizing samples (through data mining) and increasing throughput of the variety of characterization methods without loss of data fidelity. Due to the complexity of experimental characterizations involved in additive manufacturing processes, the budget for this part of effort remains most uncertain. The accelerating characterization will include four necessary components: (1) powder characteristics measurements, which is important for powder modeling and process control; (2) production of AM parts to support the project; (3) non-destructive AM parts characterizations, including density measurement, surface roughness and contour measurement, residual stress measurement, and computed X-ray tomography (XCT). These measurements are of critical importance to evaluate the parts quality and thereafter modeling verification; (4) AM parts mechanical property characterizations, including metallography (to examine microstructure), inductive coupled plasma mass spectroscopy (ICPMS) (to analyze impurities), mechanical testing (to evaluate properties), and transmission electron microscopy (TEM). Part (4) is destructive, the cost of which is generally high and thus will be performed on an "as needed" basis.

Approach

Challenges addressed:

  • Accelerates process optimization to achieve desired properties and performance
  • Develop a cost-effective and time-efficient characterization protocol for high fidelity AM parts quantifications
  • Offer experimental data input for modeling and provide "real products" vindication for modeling

Contact: Morris Wang

Click for Accelerating Characterization


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