
Akhilesh Chandgude
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Akhilesh Chandgude
Developing surrogate model using data driven approach like Uncertainty Quantification(UQ) by PYTHON scripting for the calibration of high fidelity simulation code specialised in manufacturing of thermoplastic castings for the optimisation of injection pressure Generating training data by performing simulations and interfacing with Autodesk Moldflow software by automating the scripts
- 4 Monate, Dez. 2021 - März 2022Fraunhofer-Institut für Großstrukturen in der Produktionstechnik IGP
Wissenschaftliche Hilfskraft
Research and implementation of Isogeometric Analysis using GeoPDE library
Analysis of the deformation behavior of the material Inconel 718 used in thermal power machines under cyclic loading conditions, for the predicting damage and lifetime. The non-linear behavior of the material was modelled for uniaxial Low cycle Fatigue (LCF) tests using Ansys APDL with the help of in-built viscoplastic model. Developed a Python simulation tool to determine the material's simulated lifetime.
Performing FEM simulation on the components of a Pressure relief valve(PRV) during working conditions Created an algorithm on MATLAB software that tracks the motion of poppet valve inside PRV during the operation
- 1 Jahr und 8 Monate, Nov. 2017 - Juni 2019
Executive
Mahanagar Gas Limited
Worked in operation and maintenance department of downstream natural gas distribution company in Mumbai, India. Looked after the maintenance of the gas compressors, gas dispensing units and the instruments involved in the City gas distribution setup. As well as carried out installation and commisisioning of heavy machineries like compressors ,etc. Assurance of the activity to given compliances and safety standards. Handling and leading a team of engineers and technicians.
Ausbildung von Akhilesh Chandgude
- Bis heute 5 Jahre und 10 Monate, seit Okt. 2019
MSc in Computational Modeling and Simulation
Technische Universität Dresden
Core Modules: FEM - Theory, Implementation and Application, Scientific Computing, Coupled simulation/Real time simulation, Advanced Topics in Finite Element Analysis - Multifield methods, Multibody systems and Dynamics, Computational Fluid Dynamics, Numerical methods, Scientific Programming (C++), Machine LearningCore
- 4 Jahre und 6 Monate, März 2012 - Aug. 2016
Mechanical Engineering
University of Mumbai
Grade: DistinctionGrade: Distinction Member of the Student SAE BAJA Team 2016. Engineering Mechanics, Mathematics, Strength of materials, Thermodynamics, Machine Drawing, Fluid Mechanics, Theory of Machines, Material Technology, Heat Transfer, Machine Design, Mechanical Vibrations, Finite Element Analysis, Mechatronics, Thermal and Fluid Power Engineering, Mechanical Utility systems. Competitive Examinations: GATE (Graduate Aptitude Test in Engineering) 2017 score: 539
Sprachen
Deutsch
Gut
Englisch
Muttersprache
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