The relationship between electric processing condition and microstructure in the solidification of multicomponent oxides

Bhagurkar, A. G.; Qin, Rongshan

doi:10.1016/j.ceramint.2023.03.133

Cited by 1 publication

(2 citation statements)

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“…Figure 1 a shows an SEM image (obtained from a Zeiss Supra 55VP FEG SEM manufactured by Carl Zeiss AG) of an as-cast C-27.82CaO-19.87SiO 2 -7.64Na 2 O-7.51Al 2 O 3 -6.56F-5.9MnO-0.96Fe 2 O 3 -0.79MgO-0.31TiO 2 -0.14K 2 O (wt.%) slag [ 1 ], which was obtained from the solidification of mould powders. The red lines in the images were added artificially to show the computational frame.…”

Section: Application Parameterisation and Validationmentioning

confidence: 99%

“…Using systematic varied processing parameters, the corresponding changes in the observed microstructure inform of the processing–microstructure relationships. An example can be seen in our recent paper about the effect of various electric processing parameters (current density, frequency, and loading duration) on the phase distribution and grain morphological evolution in cast mould flux [ 1 ], where quantitative microstructure interpretation plays an important role in characterising the processing-microstructure relationship. On the other hand, different microstructures give rise to different material properties.…”

Section: Introductionmentioning

confidence: 99%

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Visual Computation of Material Microstructure and Deformation

Qin

2024

Materials

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The experimentally obtained material microstructure can be used to calculate a material’s properties and identify microstructure–property relationships. The key procedure to enable this is to interpret the observed microstructure accurately. This work reports on a newly developed computational method to serve such a purpose. The method is based on cubic spline interpolation and a simple search algorithm. Parameterisation was accomplished via the comparison between its preliminary statistical results and the information in a phase diagram. The method was applied to analyse the quenched microstructure of multicomponent and multiphase metallic-oxide materials. The importance of adequate parameterisation is demonstrated. The results provide a good explanation for the experimentally measured electric conductance behaviour. Further application of the method to the deformation of materials is discussed. The algorithms are directly available for the analysis of the three-dimensional microstructure of materials.

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Section: Application Parameterisation and Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%