Suraj Ravindrababu

Abschluss: Master of Science, Nanyang Technological University & TUM, Germany (Joint Degree)

Horrem, Deutschland

Fähigkeiten und Kenntnisse

Finite Element Analysis (FEA)
Matlab-Programmierung
Abaqus
Aerospace Engineering
Additive Manufacturing
Fused Deposition Modeling
3D printing
SolidWorks
Selective Laser Melting
Composite Materials
Construction of lightweight vehicles
Space technology
Softwareentwicklung
Catia V5
Struktur
Design
Simulation
Altair HyperMesh
Optistruct
HyperWorks
MS Office
LaTex
MatLab
Medical device
Python Programmierung
Neural Networks
Machine Learning
Künstliche Intelligenz
Artificial intelligence
Multiscale Modelling
Mehrskalenmodellierung
Aviation
Finite-Elemente-Analyse (FEA)
Solid Works
ANSYS
Plastics technology
Leichtflugzeugbau
Topologieoptimierung
HyperMesh
Latex
MS Excel
MS PowerPoint
MS-Office
Logical thinking
Problem Analysis
Material

Werdegang

Berufserfahrung von Suraj Ravindrababu

  • Bis heute 2 Jahre und 7 Monate, seit Nov. 2021

    Doktorand

    Fraunhofer-Gesellschaft

  • Bis heute 5 Jahre, seit Juni 2019

    Researcher

    Indépendant, self-employed

    Working on implementing Machine Learning Techniques for material design. Performed complex design exploration of stretchable lattice formations using Deep Learning framework. Developed FEM and ML framework using Python Keras and TensorFlow packages combined with Abaqus FEA. Tools used: Abaqus FEA, Python, Keras, TensorFlow

  • 9 Monate, Juli 2018 - März 2019

    Research Engineer - Digital Manufacturing and Design Lab

    Singapore University of Technology and Design

    1. Performed the constitutive modelling of additively manufactured thermoplastic composite materials. Fractographic analyses on tested parts using SEM. 2. Modelled the unit cell at the meso and macro-level of the lattice structure to enhance computational time during design. 3. Established a framework for the process-structure-property relationship for the composite using stochastic FEM with self written codes in MATLAB linked to Abaqus FEA.

  • 2 Jahre und 1 Monat, März 2016 - März 2018

    Additive Manufacturing Specialist - Singapore Centre for 3D Printing

    Nanyang Technological University

    1. Design of a flying wing unmanned aerial vehicle (FWUAV) using computational tools such as XFLR5 (VLM), ANSYS Fluent, ABAQUS, and SolidWorks. 2. Lightweight structural design of the FWUAV planform for fabrication using the Fused deposition modeling (FDM) process. 3. Developed code in MATLAB for computing loads and static weights acting on the UAV planform. 4. Developed topology optimization problems incorporating qualitative parameters using Fuzzy logic and Altair Hyperworks.

  • 6 Monate, Juni 2015 - Nov. 2015

    R&D Engineer - FEA - Temasek Laboratories

    Nanyang Technological University, Singapore

    1. Unit cell modelling of braided composite material in Abaqus FEA. 2. Modelling of the progressive degradation in material performance by using subroutines in Abaqus. 3. Uncertainty quantification/ Investigated the influence of braiding angle and layer thickness on the performance of a landing gear structure. 4. Collaborated with multiple industries technically and by assisting in drawing project proposals.

  • 1 Jahr und 6 Monate, Juni 2013 - Nov. 2014

    Research Intern

    Nanyang Technological University

    1. Investigated the rigidity of honeycomb sandwich panels by conducting Compression after impact (CAI) tests. 2. Developed crush and low-velocity impact FE simulations on Abaqus FEA for sandwich composites and fibre metal laminate

Ausbildung von Suraj Ravindrababu

  • 2 Jahre und 4 Monate, Aug. 2012 - Nov. 2014

    Aerospace Engineering

    Nanyang Technological University & TUM, Germany (Joint Degree)

    Aircraft structures and materials, Carbon Fibre annd composites, Light weight materials, Plates and shells, Aerodynamics and Aircraft design principles.

  • 3 Jahre und 9 Monate, Sep. 2007 - Mai 2011

    Aeronautical Engineering

    Anna University

    Aerodynamics, Gas Dynamics, Composite Materials, Aircraft structures and Design principles.

Sprachen

  • Deutsch

    Gut

  • Englisch

    Fließend

Interessen

Machine learning
Artificial intelligence
Neural Networks
Multiscale FE Modelling of materials
Multidisciplinary optimization techniques
Python-Programmierung
3D printing
3D CAD
Robotics
Biological tissues
Medical prosthetics
Photography
Travel
Cricket
Badminton

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