Coordinate with German modeling teams to plan simulation tasks, analyze skill gaps, and create technical training plans.
Target yearly testing cost avoidance due to simulation > EUR 200k.
Created automation scripts in Ansys and Python packages to improve efficiency within the team.
Developed MATLAB applications to assist in processing material test data and creating material models (temperature dependent MISO/BISO, creep).
Exploring cutting-edge technologies like Ansys SimAI and Altair PhysicsAI; creating surrogate models (ROMs) using ML to determine input-output relationships.
Developed unsupervised machine learning based Python application to cluster (DBSCAN) stress hotspots in weld zones.
Refrigerator development: Thermal simulation involving electronic circuits and batteries to improve heat dissipation. Multi-physics (thermo-structural) analysis to simulate the effect of defrost cycles and predict thermal strains on plastic/metal components.
Vibration analysis: Modal and harmonic analysis of machine room subassemblies to avoid resonance; validated FEM results with lab test vibration responses.
Structural integrity: Fatigue analysis of metal door hinges using nCode to determine life cycles. Non-linear buckling analysis for plastic inner liners due to compressive pressure.
Optimization: Tolerance sensitivity analysis to study the effect of material and dimensional tolerance on functional parameters (force, stress).
Material characterization: Characterized cardboard and EPS packaging material as non-linear orthotropic/isotropic materials for FEA.
International stay in Germany (Ulm/Giengen) April 2024 – May 2024: Assisted refrigerator development, involved in DFMEA discussions, and performed complex contact modeling for food processor drive covers.
Modeling and Simulation Specialist with 12.5 years of experience in product development using FEA modeling. Expert in simulating complex problems including non-linear models, Creep, Contact modeling, modal & vibration simulations, and Multi-Physics (Thermo-Structural, FSI). Proficient in developing MATLAB and Python applications to automate simulation workflows and improve efficiency. Currently implementing AI and Machine Learning techniques to create surrogate models (ROMs) to enhance traditional FEA. A self-motivated team player with strong problem-solving skills, focused on adding value to products through simulation.
Discover other experts with similar qualifications and experience
2025 © FRATCH.IO GmbH. All rights reserved.