Simulation of Quenching

Şimşir, Caner; Gür, C. Hakan

doi:10.1201/9781420003581.ch9

Cited by 18 publications

(8 citation statements)

References 206 publications

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“…The phase transformations can be categorized into two categories: reconstructive phase transformations and displacive phase transformations. Decompositions of austenite into ferrite and pearlite in steels are typical examples of reconstructive phase transformations, while martensite, bainite, and Widmanstatten ferrite phase transformations can be recognized as displacive phase transformations [12]. The formation of ferrite occurs by nucleation at the austenite grain boundaries.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Modelling of Isothermal Decomposition of Austenite in Steel

Smoljan

Iljkić

Hanza

et al. 2021

Metals

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The main goal of this paper is mathematical modelling and computer simulation of isothermal decomposition of austenite in steel. Mathematical modelling and computer simulation of isothermal decomposition of austenite nowadays is becoming an indispensable tool for the prediction of isothermal heat treatment results of steel. Besides that, the prediction of isothermal decomposition of austenite can be applied for understanding, optimization and control of microstructure composition and mechanical properties of steel. Isothermal decomposition of austenite is physically one of the most complex engineering processes. In this paper, methods for setting the kinetic expressions for prediction of isothermal decomposition of austenite into ferrite, pearlite or bainite were proposed. After that, based on the chemical composition of hypoeutectoid steels, the quantification of the parameters involved in kinetic expressions was performed. The established kinetic equations were applied in the prediction of microstructure composition of hypoeutectoid steels.

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Section: Introductionmentioning

confidence: 99%

“…The growth of bainite and Widmanstatten ferrite requires the partitioning of interstitial carbon. Because of this reason, their growth is controlled by diffusion of interstitial atoms of carbon [12].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modelling of Isothermal Decomposition of Austenite in Steel

Smoljan

Iljkić

Hanza

et al. 2021

Metals

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“…In that sense, the precise understanding of the physical phenomena related to these applications can only be assured by the precise determination of the thermal history of the concerning domain, since the thermal history strictly affects the final mechanical properties such as hardness, fatigue performance, and etc. Ranging from the simpler cases such as estimation on thermal strains in a laser welding operation [9] to the most complicated cases as thermo-mechano-metallurgical analysis of additive manufacturing processes [3] , the prediction of the temperature field during the process is the starting point for all subsequent understanding of mechanical and/or metallurgical fields [10] .…”

Section: Introductionmentioning

confidence: 99%

“…Temperature dependence of thermo-physical properties may be quite important for certain processes, and in addition, the temperature field may be coupled with mechanical and metallurgical changes through phase transformations. The complexity of the resulting mathematical model necessitates the use of numerical approaches such as the finite difference method, the finite volume method and the finite element method [1,10] . Such fullynumerical methods pose several numerical challenges such as spurious oscillations if the mesh size is not small enough [22] .…”

Section: Introductionmentioning

confidence: 99%

Semi-analytical source (SAS) method for 3-D transient heat conduction problems with moving heat source of arbitrary shape

Çetin

Kuşcu

Çetin

et al. 2021

International Journal of Heat and Mass Transfer

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“…This is often used by heat treatment simulation software in order to calculate the microstructural evolution during a cooling process. Simir and Gür mention in [ 5 ] that “the most straightforward approach for calculating microstructural evolution during a continuous cooling process would simply be to introduce CCT diagrams into the computer program. A CCT diagram is valid only for the exact temperature histories used to draw it, and the cooling curves are normally plotted on the diagram.…”

Section: Introductionmentioning

confidence: 99%

Isothermal Time-Temperature-Precipitation Diagram for an Aluminum Alloy 6005A by In Situ DSC Experiments

et al. 2014

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Time-temperature-precipitation (TTP) diagrams deliver important material data, such as temperature and time ranges critical for precipitation during the quenching step of the age hardening procedure. Although the quenching step is continuous, isothermal TTP diagrams are often applied. Together with a so-called Quench Factor Analysis, they can be used to describe very different cooling paths. Typically, these diagrams are constructed based on mechanical properties or microstructures after an interrupted quenching, i.e., ex situ analyses. In recent years, an in situ calorimetric method to record continuous cooling precipitation diagrams of aluminum alloys has been developed to the application level by our group. This method has now been transferred to isothermal experiments, in which the whole heat treatment cycle was performed in a differential scanning calorimeter. The Al-Mg-Si-wrought alloy 6005A was investigated. Solution annealing at 540 °C and overcritical quenching to several temperatures between 450 °C and 250 °C were followed by isothermal soaking. Based on the heat flow curves during isothermal soaking, TTP diagrams were determined. An appropriate evaluation method has been developed. It was found that three different precipitation reactions in characteristic temperature intervals exist. Some of the low temperature reactions are not accessible in continuous cooling experiments and require isothermal studies.

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Simulation of Quenching

Cited by 18 publications

References 206 publications

Mathematical Modelling of Isothermal Decomposition of Austenite in Steel

Mathematical Modelling of Isothermal Decomposition of Austenite in Steel

Semi-analytical source (SAS) method for 3-D transient heat conduction problems with moving heat source of arbitrary shape

Isothermal Time-Temperature-Precipitation Diagram for an Aluminum Alloy 6005A by In Situ DSC Experiments

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