In this work, the microstructure and mechanical properties of AISI D2 tool steel is compared after air cooling and quenching in alkaline salt bath (60% KOH and 40% NaOH). The results have shown that the hardness of the samples quenched in alkaline salt bath with different temperatures followed by tempering at 540°C was higher than the hardness of air cooled sample. The maximum hardness from surface to centre of the samples was achieved after quenching in salt bath at 220°C. The microstructure and consequently the mechanical properties were altered after quenching in different media. It is also shown that hardening of D2 steel in alkaline salt bath can result in higher strength values than air cooling while there was no significant change in the impact energy of the samples.
Dans ce travail, on compare la microstructure et les propriétés mécaniques de l’acier à outils AISI D2 après refroidissement à l’air ou après trempe dans un bain de sel alcalin (60% KOH et 40% NaOH). Les résultats ont montré que la dureté des échantillons trempés dans le bain de sel alcalin à différentes températures suivi d’un revenu à 540°C était plus élevée que la dureté de l’échantillon refroidi à l’air. On a obtenu la dureté maximale, depuis la surface jusqu’au centre des échantillons, par trempe dans le bain de sel à 220°C. La microstructure et, par conséquent, les propriétés mécaniques étaient altérées après la trempe dans différents médias. On montre également que l’endurcissement de l’acier D2 dans un bain de sel alcalin peut résulter en des valeurs plus élevées de résistance à la traction que lors du refroidissement à l’air alors qu’il n’y avait pas de changement important de l’énergie de rupture des échantillons. 相似文献
The microstructure of a 240 mm diameter AISI 4340 mill shaft, quenched and tempered, was analyzed through its longitudinal cross section. Normally, higher cooling rates promote martensitic structure while the diffusion assisted austenite decomposition products are expected in the lower cooling rate condition. The martensitic reaction takes place inside the grains while the products diffusion starts from the prior austenite grain boundaries, nucleation and grow processes. An anomalous hardenability behavior was reported with a mixed structure containing martensite and bainite, in different proportion from the surface (higher cooling rate) to the core (lower cooling rate). This behavior was attributed to the wide banded structure. Banding due to the as cast structure segregation, is directly related to the solidification rate as well as the deformation degree due (during) to forging and rolling operations. When the deformation degree is high, the banding thickness is thin and approaches the austenite grain size. In this study the thickness of the bands embedded about four to five austenite grain sizes, in such a way that every band behaves like a particular steel composition. A semi quantitative chemical analysis was carried out through the banded structure to understand the differential hardenability behavior. The results were discussed using classical hardenability formula as well as calculated TTT diagrams for each composition. 相似文献
Hardenability is one of the most important parameters controlling the heat treated properties of engineering steels. It affects
the consistency of response for microstructure, hardness, strength, toughness, and dimensional change (distortion). This study
illustrates that a major benefit of controlling hardenability is improving the consistency of dimensional distortion resulting
from heat treatment. To facilitate the supply of steels to hardenability limits, especially restricted hardenability, a new
technique was developed for the prediction of Jominy hardenability from chemical composition. The technique, termed the “Database
Method,” uses measured Jominy hardenability and chemical composition data, contained in a database, to calculate the hardenability
for a query composition. Using up to ten known steels, selected from the database with compositions closely matching that
of the query steel, a small adjustment is made to the measured hardenability of each known steel allowing for the small difference
in composition between the query and chosen steel. The final calculated result for the query steel is taken as the average
of the various estimates. The basis of the Database Method is explained, and the advantages are illustrated for selecting
engineering grades. 相似文献