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Tempering data for X22CrMoV12-1 1

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kclim

Materials
Jul 2, 2002
168
Does anyone know where I can find tempering data on the above steel? In particular, I'm after some tables/equations which will let me determine the hardness after quenching and holding at various temperatures for various times.

Regards
 
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Thanks for info. The best I could get off the internet was hardness vs tempering time graphs, but only for the standard tempering temperature for this steel (around 700ºC). My question relates to non-standard tempering temperatures.

The Holloman-Jaffe equation outlines time/temperature equivalency for stress relief. Is there a similar equation for hardness/tensile strength?
 
kclim;
Yes, it is a similar equation to LMP and Hollomon-Jaffe (H-J). In checking one of my resources I have at home, the H-J equation does not really work for martensitic tempering data (martensitic stainless steels). If you are ambitious and looking for a rough approximation without specific data, there two data points regarding tempering - QT1 and QT2 from the references provided, you can use the Grange-Baughmann equation T(C+log t) x 10-3 where T is the absolute tempering temperature and time is in hours. Using the G-B equation, you solve for the G-B parameter1 and for G-B parameter 2 using the temperatures and tempering time (1 hour or other time as found in data) and a constant of 14.4. Keep in mind that this 12 Cr steel is probably one that exhibits secondary hardening upon tempering and this throws more uncertainty into this type of correlation (you have been warned).


You can plot hardness/TS as a function of the G-B parameter and draw a straight line between the two G-B points. Remember, this is only an approximation.
 
There is a very nice secondary hardening peak at 475C when oil quenched from 1030C.

You can see this chart better by selecting and increasing the magnification.
 
Thanks for your posts. In the end, used the equations metengr suggested with some of the data referenced by unclesyd (which explicitly stated tempering times). Realise that there are major limitations to these empirical formula. Still, very handy information to know.
 
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