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Darshan Bamney

PhD candidate in Materials Science and Engineering

University of Florida

Biography

I am a fourth year PhD student in materials science and engineering at the University of Florida. My research is focused on understanding the mechanical behavior of metals using advanced computational techniques. During my PhD, I have developed frameworks and tools for physically representative modeling and characterization of plasticity in metals.

Outside of work, my personal interests and hobbies include martial arts, toying with building blocks, movies, hiking, biking, and spending time with my cats.

Interests

  • Structural materials
  • Computational solid mechanics
  • Multiscale modeling of materials
  • Structure-property relationships

Education

  • PhD in Materials Science and Engineering, June 2017 - present

    University of Florida

  • MS in Materials Science and Engineering, May 2017

    University of Florida

  • BE in Mechanical Engineering, May 2015

    M. S. Ramaiah Institute of Technology (India)

Research Experience

 
 
 
 
 

Graduate Research Assistant

University of Florida

Jun 2017 – Aug 2021 Gainesville, Florida

Advisor: Dr. Douglas E. Spearot

Research Area: Mesoscale Modeling of Defect-Mediated Plasticity in Metals

Developed and implemented frameworks and tools for the discrete dislocation dynamics (DDD) simulation method to investigate dislocation-mediated plasticity in metals.

  • Developed and implemented virtual x-ray diffraction (XRD) algorithms for generating line profiles from dislocation microstructures obtained using DDD

  • Generated virtual XRD line profile databases for aluminum, tantalum, and iron, which have been used to train machine learning models to quantify dislocation densities from experimentally measured XRD profiles

  • Implemented atomistically-derived dislocation mobility laws to accurately characterize the role of dislocation core structure on the kinetics of dislocation slip and the evolution of dislocation networks

  • Developed and implemented a framework for modeling equilibrium and non-equilibrium grain boundary structures in DDD, which has been used to gain new insights into the influence of intergranular stresses on dislocation slip transmission in aluminum

  • Parallelized algorithms for improved efficiency on high performance computing clusters

 
 
 
 
 

Visiting Scientist

Los Alamos National Laboratory

May 2018 – Aug 2019 Los Alamos, New Mexico

Host/Mentor: Dr. Laurent Capolungo

Collaborated with postdoctoral researchers and staff scientists in the Materials Science in Radiation and Dynamics Extremes group at Los Alamos National Laboratory on the development of algorithms and methods for discrete dislocation dynamics.

 
 
 
 
 

Student Researcher

University of Florida

Aug 2016 – May 2017 Gainesville, Florida

Mentor: Dr. Bhavani Sankar

Analyzed the biaxial flexural deformation behavior of hydroxyapatite-polysulfone laminated composites using the finite element method.

  • Simulated and analyzed stress distributions in laminates with different layer thickness ratios to identify the influence of layer thicknesses on the principal tensile and the interlaminar shear stresses, which determine the load bearing capacity of the composite.

Teaching Experience

 
 
 
 
 

Teaching Assistant

University of Florida

Jan 2017 – Dec 2018 Gainesville, Florida

Assisted instructors for:

  • EMA3010/EMA6001: Properties of Materials (Fall 2018)

  • EMA6136: Diffusion, Kinetics, and Transport Phenomena (Spring 2018)

  • EML4507: Finite Element Analysis and Design (Spring 2017)

Responsibilities included:

  • Assisting in designing and grading coursework, assignments, quizzes, projects, and exams

  • Administering course content using e-learning technologies (Canvas and WileyPLUS)

  • Providing additional support through office hours and review sessions

Publications

Data-Driven Analysis of Neutron Diffraction Line Profiles: Application to Plastically Deformed Ta

Non-destructive evaluation of plastically deformed metals is particularly valuable both for assessing dislocation microstructures and …

Virtual Diffraction Analysis of Dislocations and Dislocation Networks in Discrete Dislocation Dynamics Simulations

This work proposes a data-analytics-based method to correlate diffraction peak broadening to dislocation density in relaxed dislocation …

Mobility of Dislocations in Aluminum: The Role of Non-Schmid Stress State

The extent that non-Schmid stresses influence the mobility of dislocations in Al is studied using molecular dynamics (MD) simulations. …

Mobility of Dislocations in Aluminum: Faceting and Asymmetry during Nanoscale Dislocation Shear Loop Expansion

Dislocation loop expansion in Al is studied with a hierarchical multiscale approach via atomistic and discrete dislocation dynamics …

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