Numerical – Experimental correlation of microstructures, cooling rates and mechanical properties of AISI 1045 steel during the Jominy end-quench test

[Display omitted] •The influence of the austenitizing temperature on the mechanical properties.•The hardness values based on mixture ruler with the experimental results.•Expressions for the percentage of phases in function of cooling rates.•Numerical expressions have been developed describing micros...

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Bibliographic Details
Published in:Materials in engineering 2015-07, Vol.76, p.230-243
Main Authors: Nunura, César R.N., dos Santos, Carlos A., Spim, Jaime A.
Format: Article
Language:English
Subjects:
AISI 1045 steel
Austenitizing
Austenitizing temperature
Cooling rate
Correlation
Estimates
Hardenability
Hardness
Jominy end-quench test
Mathematical analysis
Mathematical models
Medium carbon steels
Microstructure
Phases
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Summary:[Display omitted] •The influence of the austenitizing temperature on the mechanical properties.•The hardness values based on mixture ruler with the experimental results.•Expressions for the percentage of phases in function of cooling rates.•Numerical expressions have been developed describing microstructure formation. This work addresses the numerical correlation of the factors that may affect the hardenability of AISI 1045 steel submitted to the Jominy end-quench test in three austenitizing temperatures: 20°C, 70°C and 120°C above the critical temperature (Ac3) according to the CCT diagram (Continuous Cooling Transformation). Thermocouples were placed in the specimens at predefined points to obtain cooling curves during the Jominy end-quench test. Metallographic analysis and the Jominy hardness profiles (using the Rockwell C method) allowed evaluating the hardenability in function of the austenitizing temperatures. Calculation of the percentage of phases presented in the microstructures and Vickers microhardness tests at these phases and micro-constituents were applied to obtain numerical expressions to correlate the phase percentages and hardness profiles according to the cooling rate variations during the test. Subsequently, equations were obtained by regression numerical methods to estimate the amount of phases and micro-constituents (martensite, bainite, pearlite and ferrite) formed during the test, and also to estimate the hardness profile.
ISSN:0261-3069
DOI:10.1016/j.matdes.2015.03.031