Argonne researchers apply Integrated Computational Materials Engineering (ICME) methods to create chemistry-based models for designing alloys with desired properties. The ICME model will optimize the material systems based on the process conditions. Commercial thermodynamic software such as Thermo-Calc, in conjunction with diffusion-controlled transformations (DICTRA) software, will be used for designing alloys specific to additive manufacturing process technology and conditions.
Powder Feedstock Preparation and Characterization
Metallic powders can be developed to optimize their properties through the use of the following equipment capabilities:
- High energy milling: A Retsch PM 100 with capabilities for powder preparation
- Dynamic laser scattering: Brookhaven Instruments 90 Plus available to determine particle size/size distributions of powders
- Pycnometer: Quantachrome Ultrapyc 1200e for measuring density and porosity using gas absorption
- Clean areas for sample preparation: Glove boxes for feed stock powder treatment
- Chemical analysis: An induction coupled mass spectrometer, Inductively Coupled Plasma- Mass Spectrometer (ICP-MS) with/without dynamic reaction cell, Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES), Leco Carbon and Sulfur Analyzer, Autotitration, Ion Chromatography (IC)
Modeling and Simulation
Data obtained from both in-process and post-process metal additive manufacturing characterization and analysis will be used to build and validate metal additive manufacturing process models.