Amol kulkarni

is researching.

Angestellt, Research Assistant, University of Liege

Liège, Belgien

Über mich

I am a doctoral student (ESR3) in the THREAD project at University of Liège, Belgium and Fraunhofer ITWM, Kaiserslautern. Currently, I am working on the topic of 'Mesoscopic modelling and simulation of wire harnesses'. I graduated in the Computational Mechanics of Materials and Structures course from the University of Stuttgart.

Fähigkeiten und Kenntnisse

Machine learning
Python
Catia V5
LS-Dyna
C++
MatLab
HyperWorks
Siemens NX
SolidWorks
Computational Mechanics
MS Office
Fortran
R
FEM
Research and Development

Werdegang

Berufserfahrung von Amol kulkarni

  • Bis heute 1 Jahr und 9 Monate, seit Okt. 2022

    Research Assistant

    University of Liege

    I am working as an Early-Stage Researcher in the THREAD Project focusing on the topic 'Mesoscopic Modelling and Simulation of Wire Harnesses'.

  • 6 Monate, Apr. 2021 - Sep. 2021

    Wissenschaftliche Hilfskraft

    Universität Stuttgart

    IMWF • Comparison of Machine Learning results and Finite Element method results of Discrete Dislocation Dynamics (DDD) simulations • Image processing - phase detection from EBSD image • Scientific Computing and data processing to calculate resultant grain orientation and projections using Python • Data Visualization of Machine Learning (ML) results

  • 2 Monate, Mai 2018 - Juni 2018

    Praktikant

    Bosch India, Nashik

    • Project - Establish in-house resharpening and coating of drill tools for MIKRON Multistar -24 • Tool wear analysis (tool geometry damage and built-up edges) to determine optimum drilling parameters • Tool Geometry Optimization (3D CAD) • Reviewing thermal analysis of tool

  • 2 Monate, Nov. 2017 - Dez. 2017

    Praktikant

    BSL Scaffolding Limited

    • Product development - Topology optimization of scaffolding joints using FEM (Cuplok, scaffolding fittings) • 3D Modelling of scaffolding joints and fittings. • Design validation of jigs and fixtures Siemens NX

  • 1 Jahr und 1 Monat, Juni 2016 - Juni 2017

    Project Team Member

    SUPRA SAE Student Formula- 2017

    • Simulation-Analysis of Intake manifold to optimize performance • Design Validation of Venturi tube and Plenum chamber • Using proprietary simulation-analysis results to train ML model to predict optimum design dimensions

Ausbildung von Amol kulkarni

  • 2 Jahre und 6 Monate, Okt. 2019 - März 2022

    Computational Mechanics of Materials and Structures

    Universität Stuttgart

    Master's Thesis on the topic Molecular Dynamics simulations to investigate solid solution hardening of Ni-X at high temperatures with machine learning-based inter-atomic potentials (Thesis grade - 1.7) Machine Learning | Scientific Programming Discretization Methods | Continuum Mechanics | Computational Material Science | Non-linear Computational Mechanics of Structures | Optimization of Mechanical Systems | Implementation and Algorithms for Finite Elements | Computational Human Body Modelling

  • 4 Jahre und 1 Monat, Juni 2015 - Juni 2019

    Mechanical Engineering

    University of Pune

    Grade: 8.14/10 (First Class with Distinction) Activities and societies -Participant at IET KARMAVEER Expo at K.K.Wagh college of Engineering, Nashik -Participant in the I-Rise Exhibition at Gokhale Education Society's College of Engineering, Nashik Modules: - Finite Element Analysis | Numerical Methods and Optimization | Thermodynamics | Fluid Mechanics | Fundamentals of Programming Language | Mechatronics | Operational Research

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Gut

  • Marathi

    -

  • Hindi

    -

Interessen

Sketching designs
Home cooking

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