Detailed studies of the mechanisms involved in recovery and recrystallisation during heat treatment can be done quantitatively with SEM-based analytical techniques instead of using TEM. QUANTAX EDS , EBSD and ARGUS™ provide a fast and quantitative identification of the chemical elements, microstructural and crystal orientation down to the nanoscale. In addition, it is easy to use, non-destructive and relatively inexpensive. The benefit of a large field of view compare to TEM is also required when inspecting large fraction of samples for surface quality control of aluminum products. Surface quality is important since it can influence the corrosion resistance and adhesive bonding and durability.
Abrasion in production lines can be a source of contaminated products and/or malfunctioning machinery. Using micro-XRF is straight-forward to classify steel particles with sizes down to 50 µm because their heavy matrix will allow a reliable quantitative analysis of the main elements. For the classification of Aluminum flakes usually heavy elements are of importance, whereas the main element is very light. Therefore, it is difficult to asses the alloy type of thin aluminum particles. The fast mapping capabilities of the M4 TORNADO (PLUS) allow quick scanning of small Al particles and find the thickest part of the sample. This thick region is likely to give the most reliable results for a classification. The region of interest can be cut out from the Hypermap dataset and be quantified for classification.
The production of aluminum in the smelter is uniquely controlled by Powder XRD. Hundreds of samples of the hot molten electrolyte are regularly taken, cooled down and analyzed with the D8 ENDEAVOR Aluminum editon. The volume texture of the final metal product can be inspected by XRD.
The orientation distribution of grains in a polycrystalline material, commonly referred to as its crystallographic texture, has a profound impact on its mechanical, electrical, and thermal behavior. Commonly, manufacturing processes such as machining, rolling, extruding, and drawing lead to changes in texture which can be measured and controlled to enhance functionality or prevent failure. X-ray Diffraction provides an easy to use non-destructive method for the determination of crystallographic texture.
A major cost factor in Al production is energy for electrolytic smelting of alumina. A melting temperature below 1000 °C is obtained by adding cryolite (Na3CaAlF6), AlF3 and CaF2 to the alumina. The actual composition of such a bath is represented in the mineralogy of the solid cooled electrolyte. This contains chiolite and two forms of Ca-cryolite mixed crystals in addition to the feed material. The bath acidity (ExAlF3) and other control variables are obtained in DQUANT from single XRD peak analysis and the total Ca content that is simultaneously measured by XRF in the D8 ENDEAVOR.
Aluminum alloys are very light and have good corrosion resistance and electric conductivity. Cu and Mg alloyed grades are tough; Si alloyed grades can easily be cast. Aluminum alloys are used as construction material of aircrafts, sea crafts, car motors, cans, and containers. Aluminum is also used to cast window frames and can be colored to wide range of colors.
Aluminum alloys fall into the category of light metal alloys and are now easily analyzed using Silicon Drift Detector (SDD) XRF aluminum analyzers.
Aluminum is the most recycled metal
The scrap types are cans, unalloyed and alloyed plates, crushed casts, chips, and slag. Aluminum scrap sorters use portable XRF analyzers, while aluminum producers and foundries use big stationary laboratory analyzers as well as portable analyzers. Aluminum producers are interested in Mg, Si, Ni, Pb, Bi, Cr, Ti, Sn, V, Be, Fe, Zn, Cu, Mn, Ca, Sr, Sb and P. The scrap is analyzed prior to charging to the furnace. As little as 0.003 % Ca can be detrimental in aluminum processing. P can be either an alloying element or a tramp element. As an alloying element, P is 0.008-0.018 %, Sr is 0.001-0.01% and Sb 0.001-0.01%.
Aluminum alloys are broken into the following series: