Gandham Phanikumar

About

B.Tech (Metallurgical Engineering) from Indian Institute of Technology Madras in 1996. Ph.D. on experimental and computational studies on laser processing of dissimilar metals, Indian Institute of Science, Bangalore in 2002. Guest scientist and Alexander von Humboldt scholar with German Aerospace Center, Cologne, German between 2002 and 2005. Assistant professor (2005-2010), Associte Professor (2010 to 2015) and now as Professor with the Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras.

Employment

• Indian Institute of Technology Madras Professor
  2015 - Present
• Indian Institute of Technology Madras Associate Professor
  2010 - 2015
• Indian Institute of Technology Madras Assistant Professor
  2005 - 2010
• German Aerospace Center Alexander von Humboldt Fellow
  2003 - 2005
• Cheongju University Post-doctoral research fellow
  2003 - 2003
• German Aerospace Center Post-doctoral research fellow
  2002 - 2003

Education

• Indian Institute of Science Ph.D.
  1996 - 2002
• Indian Institute of Technology Madras B.Tech (Metallurgical Engineering)
  1992 - 1996

Projects & Funding

Projects & funding information is unavailable.

Publications (93)

• A novel Grand-Potential Phase-Field Lattice-Boltzmann model for multi-phase solidification with convection
  2026 DOI: 10.2139/ssrn.7381108
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• Towards intelligent processing: Machine learning-based prediction of flow curves and hot workability maps for Ti71Fe25.15Sn3.85 alloy
  Journal of Materials Research and Technology 2025 DOI: 10.1016/j.jmrt.2025.11.174
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• Effect of build orientations on residual stress, microstructure, and mechanical properties of additively manufactured alloy-718 components
  Journal of Manufacturing Processes 2024 DOI: 10.1016/j.jmapro.2024.01.047
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• Effect of laser scan rotation on the microstructure and mechanical properties of laser powder bed fused Haynes 282
  Materialia 2024 DOI: 10.1016/j.mtla.2023.101992
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• Interface Response Functions for multicomponent alloy solidification—An application to additive manufacturing
  Computational Materials Science 2024 DOI: 10.1016/j.commatsci.2023.112565
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• Numerical Voltammetry of Phase Separating Materials Using Phase Field Modeling
  Journal of The Electrochemical Society 2024 DOI: 10.1149/1945-7111/ad59cc
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• Machine learning enabled processing map generation for high-entropy alloy
  Scripta Materialia 2023 DOI: 10.1016/j.scriptamat.2023.115543
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• Integrated experimental and modeling approach for hot deformation behavior of Co–Cr–Fe–Ni–V high entropy alloy
  Journal of Materials Research and Technology 2023 DOI: 10.1016/j.jmrt.2023.05.257
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• Mapping of multiphase field model parameters to physical factors in order to simulate desired phase transformations
  Computational Materials Science 2023 DOI: 10.1016/j.commatsci.2023.112227
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• Modeling Microsegregation during Metal Additive Manufacturing: Impact of Dendrite Tip Kinetics and Finite Solute Diffusion
  Crystals 2023 DOI: 10.3390/cryst13050842
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