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AZtecAM

AZtecAM is a powerful, automated, solution for the analysis of metal powders used in additive manufacturing. Based on AZtecFeature, AZtecAM optimises the particle analysis workflow to enable the rapid and accurate characterisation of metal powders.

AZtecAM is ideal for the detection and identification of contaminants in powders, the characterisation of powder grain morphology and the in-depth investigation of individual grains – providing all the necessary information to ensure that your additive manufacturing process and products are of the highest quality.


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AZtecAM is a powerful, automated, solution for the analysis of metal powders used in additive manufacturing. Based on AZtecFeature, AZtecAM optimises the particle analysis workflow to enable the rapid and accurate characterisation of metal powders.

AZtecAM is ideal for the detection and identification of contaminants in powders, the characterisation of powder grain morphology and the in-depth investigation of individual grains – providing all the necessary information to ensure that your additive manufacturing process and products are of the highest quality.

Combined with the complete AZtecLive NanoAnalysis suite,

Complete AM Powder Characterisation

  • Detect and Identify Contaminants
  • Characterise Powder Morphology
  • In depth reviews of individual particles of interest

Applications

  • Investigating powders during production
  • Determining if powders can be recycled/re-used (powder grain morphology)
  • Detecting contaminants and understanding their composition for source identification

Performance

  • High speed acquisition using SDD technology
  • Automated analysis over wide areas, resolution at the nanoscale
  • Based on proven Oxford Instruments algorithms

Flexibility

  • Custom AM powder analysis on a multi-capable system
  • Works with most SEMs
  • Can be retrofitted to existing systems
  • Particle relocation for more further analysis using WDS, EBSD and complementary EDS techniques
  • Upgrade paths include large area mapping, quantitative EDS mapping and more

AZtecAM automatically analyses powders over large area sample stubs – up to 200,000 particles per sample.

Because of the resolution achieved, information on individual particles is available from the same acquisition.

  • Particles, and the grains within them, are detected using the atomic number contrast derived from a backscattered electron image.
  • A combination of X-ray data and morphological data from the BSE image is used to identify the particles.
  • Both morphological and compositional information from each particle is stored in a database from which it can be retrieved and re analysed in greater detail at any time.
  • Quantification of composition is performed by real-time full quantitative analysis during the acquisition (including AZtec’s Tru-Q® processing).
  • Information is provided for individual particles as well as statistical information over the whole sample: particle size distributions, morphology measurements, number of particles in each class, physical distribution on sample stub and histograms and scatterplots of any measured parameter

Flyers

Flyer: AZtecAM

Applications 

Morphology Characterisation and Contamination Detection in Additive Manufacturing Powders with AZtecAM

This application note considers the use of AZtecAM, an automated system developed specifically for the rapid analysis and classification of AM powders, using an energy dispersive X-ray spectrometry (EDS) system in the scanning electron microscope (SEM).  for the routine characterisation of gas atomised high-purity copper powders. It demonstrates how particles across the population can be assessed and how contamination can be easily detected and classified.

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The Complete Characterisation of Additive Manufacturing Powders with AZtecAM

Investigate the streamlined process through the dedicated AZtecAM software recipe, for complete characterisation of all aspects of metal powders used in additive manufacturing. Ensure the characterisation, particle morphology and individual particle characterisation.

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