Yogesh Surkutwar

WORK HISTORY

EDUCATION

SKILLS

ABOUT YOGESH SURKUTWAR

Skilled in delivering advanced NVH and durability simulation solutions for automotive platforms and components.• Doctoral Research on “Characterization and Modeling of Different Snow Attributes for Tire Performance Simulation” at Virginia Tech• Snow-Tire Interaction Simulation: FE modeling of compacted snow, constitutive modeling, material characterization, correlation with in-situ experimental data.• Expertise: Structural noise & vibration, fatigue life prediction, durability analysis, weight optimization (topology, shape, and size) using advanced Finite Element Methods (Vehicle & Engine Systems).• Optimization Achievements: 35% weight reduction in vehicle and power-train structures; 27% weight reduction in Aluminum Bus Project through Design of Experiments (DOE) and multidisciplinary optimization (MDO) techniques.• Skilled in Correlation: Refining FE modeling methods to achieve 97% correlation of modal frequencies, FRFs, and dynamic performance with physical tests.• Tools & Software: Abaqus, Nastran, LS-Dyna, Isight, LS-Opt, nCode- DesignLife, LMS Virtual.Lab, Altair HyperWorks, HyperStudy, JMP, Ensight.• NVH & Durability Expertise: Full vehicle NVH, structural noise analysis, fatigue/durability life estimation, modal and acoustic analysis, RLDA-based fatigue prediction• Collaboration: Experienced in global teamwork, cross-functional project execution, and providing targeted solutions for mass and cost requirements.• Strong Presentation & Communication Skills with proven ability to handle multiple projects simultaneously.