Suraj Ravindrababu

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

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

  • Current 4 years and 7 months, since Nov 2021

    Doktorand

    Fraunhofer-Gesellschaft

  • Current 7 years, since Jun 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 months, Jul 2018 - Mar 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 years and 1 month, Mar 2016 - Mar 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 months, Jun 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 year and 6 months, Jun 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 years and 4 months, 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 years and 9 months, Sep 2007 - May 2011

    Aeronautical Engineering

    Anna University

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

Sprachen

  • German

    B1-B2 (Gute Kenntnisse)

  • English

    C1 (Fließend)

XING – Das Jobs-Netzwerk

  • Über eine Million Jobs

    Entdecke mit XING genau den Job, der wirklich zu Dir passt.

  • Persönliche Job-Angebote

    Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.

  • 21 Mio. Mitglieder

    Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.

  • Kostenlos profitieren

    Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.

21 Mio. XING Mitglieder, von A bis Z