Spectroscopy:

Spectra are interpreted and attributed to known contamination sources using a querying database.
Characteristic fingerprints (spectra) are obtained based on the different chemical composition of the particles. The metal.ID (LIBS) library includes: Al, Ba, Ca , Cl , Co, Cr, Cu, Fe, K, Mn, Mg, Na, Ni, , Mo, P, Pb, S, Si, Sn, Ti,V, W, Zn, over 100 alloys, and much more. The spectra of alloys such as brass and stainless steel can now also be reliably identified and added to the database.

Database:

The database is easily customizable and extendable. New materials can be added to the database in just a few steps within just 1 minute. The system assesses the spectrum quality and the degree of matching with the reference database entry. The material is then identified by comparing the particle against the database.

Particle Counting Result:

The image analysis provides the particle counting result. Metal.ID then selects the relevant particles for analysis, based on the user's specifications. In our example the system automatically homes in on and analyzes all particles larger than 400µm.

Image Analysis:

metal.ID combines a sequence of images into a montage. Within 5 minutes the automated particle analysis then determines the particle size distribution, complying with regulatory standards according to ISO 16232 or ISO 4407:2002.