Srinivas Natra FEM, FEA, CAE, Abaqus, Fatigue
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I have been working in CAE/FEA field since 2001. Main experience into automotive industry. have strong expertise in FEA tools like Abaqus, Ls-dyna, Nastran, OptiStruct, RADIOSS and nCode, FEMFAT etc. Pre-processing is done in HyperMesh, Simlab, HyperView.

Due to my mechanical engineering domain, I still need to use lot of Maths & Physics in my job. Hence, I also love to teach Maths & Physics subjects as well.

Experience in simulation methods related to Electric Vehicles (EV) Design & Development.

Engaged as consultant for CAE simulations across domains - Durability, NVH, Crash.
Correlated physical test failures through simulation.

Specialties: Durability - linear analysis, non-linear static analysis, contact analysis, stress analysis using CAE/FEA tools.
Experience in Thermal analysis, Thermo-mechanical analysis, fatigue evaluation - HCF & LCF, Vibration durability & Fatigue, Creep, Fracture Mechanics, Structural Dynamics, Composites, Optimization.
Experience in Powertrain analysis - full system level.
Experience in Automotive closures, plastic trims, full vehicle level.

I have been mentoring team members for more than 15 years. I love teaching and explaining from basic level & with the concept details. I have given trainings related to CAE, FEM, Product Design, Simulations in Automotive domain.

I have industrial & theoretical knowledge in the area of product design, which helps me to explain the problems in a better way considering practical scenarios.

Subjects

  • Maths Grade 6-Grade 10

  • Abaqus Beginner-Expert

  • FEM (Finite Element Method) Beginner-Expert

  • LS DYNA Beginner-Expert

  • MSC Nastran Beginner-Expert

Experience

  • Manager CAE (Mar, 2001–Present) at Automotive EV 2 wheeler industry
    Leading the teams in CAE simulations, Product Design & Development

Education

  • M. Tech (Aug, 1999–Mar, 2001) from IIT Guwahati, North Guwahati
  • B.Tech (Jul, 1995–Mar, 1999) from university college of engineering, JNTU kakinada

Fee details

    ₹800–2,000/hour (US$8.42–21.05/hour)

    Fee can vary depending on time, geographical location

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