Anindita Dhar Swarna
Angestellt, Researcher, IPV, Universität Stuttgart
Stuttgart, Deutschland
Werdegang
Berufserfahrung von Anindita Dhar Swarna
Bis heute 1 Jahr und 3 Monate, seit Apr. 2023
Researcher
IPV, Universität Stuttgart
1. Modelling of Composite Electrode for Lithium-ion Batteries using PyBaMM. 2. Combination of Recycled material/Virgin material used in the positive electrode. 3. Development of a P2D model. 4. Development of an Equivalent Circuit Model (ECM). 5. Validation of the model using experimental data. 6. Extending the existing model in the case of negative electrode. Teaching Courses: 1. Battery Modelling and Management. 2. Engineering Materials.
7 Monate, Mai 2022 - Nov. 2022
Master Thesis
IMWF, Universität Stuttgart
Topic: Prediction of Fatigue Damage Evolution and Lifetime for Additively Manufactured AlSi10Mg Alloys Using Two-scale FE Simulations with Application of Machine Learning (ML). 1. Multiscale simulation using FEA software ABAQUS. 2. EBSD image segmentation using ML. 3. Addition of artificially generated SiC particles using GIMP. 4. Generation of 3D mesh using 'Simpleware ScanIP'. 5. Carrying out microstructural fatigue analysis in combination with ML.
6 Monate, Okt. 2021 - März 2022
Studentische Hilfskraft (HiWi)
ISD, Universität Stuttgart.
1. Created and implemented lesson plans based on different deep learning and machine learning algorithms. 2. Evaluation of students’ assignment.
2 Jahre, Jan. 2016 - Dez. 2017
Teaching Assistant, Department of Mechanical Engineering
Military Institute of Science and Technology (MIST)
Conducting both Theoretical and Practical lessons on different Engineering topics (Thermodynamics, Mechanics of Solids, Engineering Materials Sessional etc.)
Ausbildung von Anindita Dhar Swarna
3 Jahre und 2 Monate, Okt. 2019 - Nov. 2022
Computational Mechanics of Materials and Structures
Universität Stuttgart
4 Jahre, Jan. 2012 - Dez. 2015
Mechanical Engineering
Bangladesh University of Professionals
Sprachen
Englisch
Fließend
Deutsch
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