Basic Concepts in Thermal Analysis for foundry metals
It has been my experience that many concepts of thermal analysis apply to or at least can be beneficial across different metal types. It dosn't hurt to look at different examples of a liquidus from iron or aluminum when trying to understand an exotic metal or even a differrent common one. Above are some of the most common phase diagrams we use for foundry alloys.
TA gives you a quick and dirty answer to how your meltal is freezing. If you don't add anything to your sample cup, it will tell
you about microstructure and voids. If your metal is iron and you have tellurium in your cup (very common) it will tell you your carbon
content, and can estimate your silicon if your process is stable for manganese and chrome.
A sample will take 3 to 5 minutes to run and you do not need a specialized person to run the sample. A good furnace ooperator or metal
pourer will do. In an iron foundry, the furnace operator will take a sample about 5 minutes before the metal reaches temperature. Inside of
3 minutes the computer program will be telling him if he needs to add more carbon or silicon to the heat. He can then do this while power is
still on the furnace, and the added material can be sucked uunder the metal and quickly dissolve. By the time the furnace is ready to tap,
the chemistry is right, and productivity is maximized.
When metal turns solid, it gives back the heat you put in it to melt it. This heat slows the cooling of the sample and the temperature doesn't fall as fast. When this happens we call it an arrest. The temperature these arrests happen at, how strong they are and their relationship to other arrests all tell us about what is going on in the metal. And then from this information, we can calculate different properties of the melt.

They look like bumps or flat spots on the temperature curve. They are generally small and hard do see so we have introduced the
cooling rate curve to allow people to better see what is happening. In the examples to the right, the red temperature curve has
an arrest that is called the Liquidus (more on this latter). It is long and picking out the temperature for the arrest could be any where
on the flat spot. The second example shows the cooling rate which the computer derives from the temperature curve and is about 100x more
sensitive to changes. Here you can see why the liquids point was choosen. It is at the bottom of the green cooling curve where the blue curve
(2nd derivative) crosses zero (the horizonal black line). By using science, we take the guess work out of the problem.
No they are not. TA systems differ by how precise they are, and what kind of technology they use to filter out the noise and identify the arressts.