Cooling Curve Analysis as an Alternative to Dilatometry in Continuous Cooling Transformations

Quantification of evolution of multiple simultaneous phase transformations using dilation curve analysis (DCA)

“…Further details about the curve fitting technique used in this methodology can be found in Ref. [34]. An exponential function can also be used to represent the different sections of the curves as Table 5 Bainite and martensite fractions calculated using the present methodology and optical microscopy.…”

“…The density of austenite (required to calculate f c 3 ) was estimated from dilatometry of a sample that transformed to martensite, following the methodology presented in Ref. [34]. The calculated values for the density of martensite and austenite used in this study are r austenite ¼ 7.764 Â 10 À12 ± 0.002 Â 10 À12 g/mm 3 and r martensite ¼ 7.782 Â 10 À12 ± 0.005 Â 10 À12 g/mm 3 .…”

“…Recently, a new approach to quantifying constituent fractions from dilation data for single phase transformations was developed by Ref. [34]. This method is referred to as dilation curve analysis (DCA) and was compared to cooling curve analysis (CCA) results for an austenite to martensite single phase transformation in 9Cr3W3CoVNb steel.…”

“…This method is referred to as dilation curve analysis (DCA) and was compared to cooling curve analysis (CCA) results for an austenite to martensite single phase transformation in 9Cr3W3CoVNb steel. CCA has proven to be effective at producing similar results to dilatometry despite its drastically simpler experimental setup [34].…”

Measurements of deposition rate and droplet temperature in GMAW of aluminum alloys

“…The calorimeter showed a biot number of 3.5 10 −4 according to its body size and thermal conductivity of copper. The low biot number value indicates a very high temperature uniformity in the calorimeter at the time corresponding to the maximum temperature attained in the calorimeter [6].…”