
Amol kulkarni
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Amol kulkarni
- Bis heute 2 Jahre und 8 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
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Hindi
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