Sudipta Biswas

Dr. Sudipta Biswas


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2016 in Extreme Mechanics Letters
Verified
Journal Article
Closed access
SBSudipta Biswas
Sudipta Biswas
DSDaniel Schwen
Daniel Schwen
JSJogender Singh
Jogender Singh
VTVikas Tomar
Vikas Tomar

1 June 2018 in Computational Materials Science
Verified
Journal Article
Closed access
SBSudipta Biswas
Sudipta Biswas
DSDaniel Schwen
Daniel Schwen
HWHao Wang
Hao Wang
MOMaria Okuniewski
Maria Okuniewski
VTVikas Tomar
Vikas Tomar

4 December 2017 in Journal of Materials Science
Verified
Journal Article
Closed access
PDF file
SBSudipta Biswas
Sudipta Biswas
DSDaniel Schwen
Daniel Schwen
VTVikas Tomar
Vikas Tomar

1 July 2018 in Computational Materials Science
Verified
Journal Article
Closed access
HWHao Wang
Hao Wang
SBSudipta Biswas
Sudipta Biswas
YHYousung Han
Yousung Han
VTVikas Tomar
Vikas Tomar

1 October 2020 in Finite Elements in Analysis and Design
Verified
Journal Article
Closed access
SBSudipta Biswas
Sudipta Biswas
DSDaniel Schwen
Daniel Schwen
JHJason D. Hales
Jason D. Hales

11 January 2022 in Modelling and Simulation in Materials Science and Engineering
Verified
Journal Article
Closed access
SBSudipta Biswas
Sudipta Biswas
Dehao LiuDehao Liu
Dehao Liu
LALarry K Aagesen
Larry K Aagesen
WJWen Jiang
Wen Jiang
Solidification is a significant step in the forming of crystalline structures during various manufacturing and material processing techniques. Solidification characteristics and the microstructures formed during the process dictate the properties and performance of the materials. Hence, understanding how the process conditions relate to various microstructure formations is paramount. In this work, a grand-potential-based multi-phase, multi-component, multi-order-parameter phase-field model is used to demonstrate the solidification of alloys in 2D. This model has several key advantages over other multi-phase models such as it decouples the bulk energy from the interfacial energy, removes the constraints for the phase concentration variable, and prevents spurious third-phase formation at the two phase interfaces. Here, the model is implemented in a finite-element-based phase-field modeling code. The role of various modeling parameters in governing the solidification rate and the shape of the solidified structure is evaluated. It is demonstrated that the process conditions such as temperature gradient, thermal diffusion, cooling rate, etc, influence the solidification characteristics by altering the level of undercooling. Furthermore, the capability of the model to capture directional solidification and polycrystalline structure formation exhibiting various grain shapes is illustrated. In both these cases, the process conditions have been related to the growth rate and associated shape of the dendritic structure. This work serves as a stepping stone towards resolving the larger problem of understanding the process–structure–property–performance correlation in solidified materials.