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Journal Article 3

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Additive manufacturing 1

Data science 1

EMTP-RV 1

Microhardness 1

Microstructure 1

Multiphysics modeling 1

Ni-based superalloy 1

Self-organizing map 1

comsol multiphysics 1

ferrite ring 1

frost heave 1

gas insulated substations (GIS) 1

insulation coordination 1

multiphysics analysis 1

saturated soils 1

thermo-mechanical approach 1

transient over-voltage 1

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A novel algorithm for frequency dependent modeling of ferrite ring and its optimum design to study VFTO behaviors within GIS

Mehrdad MAJIDI, Hamid JAVADI, Moein MANBACHI

Frontiers in Energy 2014, Volume 8, Issue 1, Pages 90-100 doi: 10.1007/s11708-013-0286-2

Abstract: insulation withstand and the maximum effect of ferrite rings on VFTO suppression constraint with the COMSOLmultiphysics software.

Keywords： comsol multiphysics EMTP-RV ferrite ring gas insulated substations (GIS) transient over-voltage insulation

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Thermo-mechanical simulation of frost heave in saturated soils

Frontiers of Structural and Civil Engineering Pages 1400-1412 doi: 10.1007/s11709-023-0990-x

Abstract: The study of frost heave requires conducting a multiphysics analysis, considering the thermal, mechanical

Keywords： frost heave multiphysics analysis thermo-mechanical approach saturated soils

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Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map Article

Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu

Engineering 2019, Volume 5, Issue 4, Pages 730-735 doi: 10.1016/j.eng.2019.03.014

Abstract:

To design microstructure and microhardness in the additive manufacturing (AM) of nickel (Ni)-based superalloys, the present work develops a novel data-driven approach that combines physics-based models, experimental measurements, and a data-mining method. The simulation is based on a computational thermal-fluid dynamics (CtFD) model, which can obtain thermal behavior, solidification parameters such as cooling rate, and the dilution of solidified clad. Based on the computed thermal information, dendrite arm spacing and microhardness are estimated using well-tested mechanistic models. Experimental microstructure and microhardness are determined and compared with the simulated values for validation. To visualize process–structure–properties (PSP) linkages, the simulation and experimental datasets are input to a data-mining model—a self-organizing map (SOM). The design windows of the process parameters under multiple objectives can be obtained from the visualized maps. The proposed approaches can be utilized in AM and other data-intensive processes. Data-driven linkages between process, structure, and properties have the potential to benefit online process monitoring control in order to derive an ideal microstructure and mechanical properties.

Keywords： Additive manufacturing Data science Multiphysics modeling Self-organizing map Microstructure Microhardness