SRINIVAS N

20+ years of working experience in the field of Product Design, CAE/FEA. Well experienced in structural analysis, NVH, thermal, optimization, fatigue analysis and durability in automotive domain, CAE Vs Physical test correlation, MBD, familiar with composites analysis, CFD. Has overseas experience, working with OEM, has strong command in ABAQUS, NASTRAN and fatigue solvers. Hands-on experience with Electric Vehicles (EV) simulations & Design – Battery, controller, motor, electronic hardware and full vehicle aggregates. Great combination of Domain expertise and CAE tool expertise. Used Digital Twins, Machine learning techniques, Predictive Modeling.

• Acted as domain consultant (through Altair) in supporting Design, CAE simulations for different EV 2-wheeler customers – Ather, Bounce, Ridervier, Ingo Electric, Revamp Motors
• Helped in process/methodology development in areas of Durability, NVH, Crash, MBD, Fatigue
• Structural Durability simulations on various systems – Chassis/frame, Handlebar assembly, Swingarm assembly, side stand, centre stand, grab handle, side step, foot rest, saree guard.
• Good experience in CAE simulation results correlation with physical test failures, field failures; CAE process improvements to reduce the gap.
• Full vehicle fatigue with RLDA inputs derived from actual road testing of the vehicle.
• Vibration Fatigue life simulations with PSD profile for different subsystems - Battery mountings, Motor mountings, Drive Controller mountings and other electronic hardware.
• Process/methodology development for simulations on Wheel, Frontal crash, Side fall etc.
• In-detail Battery simulations – Temperature prediction on battery pack, thermal runaway with Oorja s/w (AI/ML driven); CFD simulations – Full vehicle air-flow and temperature prediction on battery, MCU, Motor; Full vehicle Drag; Thermal simulation of battery pack alone; PCB & Electronics cooling of VCU – Temperature prediction on PCB at different IC/chip locations by using heat power as input.
• Digital Twins /Machine Learning – Explored the methods for Battery range prediction, SOH estimation & RUL prediction, Temperature prediction.
• Fatigue life cycles/ damage calculation of Automotive Chassis and BIW structural members by using RLD data from three different tracks (torture, off road, highway tracks) and field failure correlation (4 wheeler).
• Topology, Shape Optimization of Planetary gear carriers in Automotive transmission assembly. Shell topology optimization, gage optimization of automotive BIW, Multi-disciplinary optimization (MDO).
• Durability load cases for automotive closures and sub systems - hood, doors, quarter panel, fender, roof and deck lid.
• Stiffness/strength load cases, durability for abuse loads of Automotive interior plastic trims- A,B,C-pillar trims, Grab handle, front & rear scuff, trunk scuff, quarter trims, IP/Cockpit, Floor console, Armrest, Storage box/Glove box
• Crash/Impact Analysis - Truck cabin front impact, roof crush analysis; Seat belt anchorage analysis of automotive seating systems (FMVSS 207/210); Head impact, knee impact simulations on IP assembly, Deceleration Pulse, IP brackets strength for Airbag deployment.

• GATE (Graduate Aptitude Test in Engineering) percentile: 95.79 (All India Rank – 354)
• Top 2nd in M. Tech level, Among top 5 in B. Tech level