Pratap T. Rao

Pratap T. Rao Email and Phone Number

CAE/CFD Analyst - Vehicle Performance at Honda R&D Americas, Inc. @ Honda R&D Americas, LLC
Pratap T. Rao's Location
Columbus, Ohio Metropolitan Area, United States, United States
Pratap T. Rao's Contact Details

Pratap T. Rao personal email

About Pratap T. Rao

Mechanical Engineer with specific expertise in Vehicle Aerodynamics, Battery Electric Vehicles (BEV), IC Engine Cooling, Thermal Management, Computational Fluid Dynamics (CFD), High Performance Computing (HPC), and Data Analysis.CAE Pre-processing: ANSA, ANSYS SpaceClaim and DesignModeler.CAD Tools: Catia V5, SolidWorks, and Siemens NX.CFD Tools: OpenFOAM, STAR-CCM+, and ANSYS Fluent. Visualization: EnSight, ParaView, mETA, Tecplot 360, and CFD Post.Programming: C++, Python, MATLAB, FORTRAN 90, Bash, and Shell Programming.

Pratap T. Rao's Current Company Details
Honda R&D Americas, LLC

Honda R&D Americas, Llc

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CAE/CFD Analyst - Vehicle Performance at Honda R&D Americas, Inc.
Pratap T. Rao Work Experience Details
  • Honda R&D Americas, Llc
    Senior Engineer
    Honda R&D Americas, Llc Sep 2022 - Present
    Raymond, Ohio, Us
  • Honda R&D Americas, Llc
    Cfd Analyst L2
    Honda R&D Americas, Llc Jun 2018 - Sep 2022
    Raymond, Ohio, Us
    CFD Fluid Flow Analysis and Design Optimization Support on:- Full Vehicle External Aerodynamics- Battery Electric Vehicle (BEV)- Engine Room and Underbody Flow Management- Snow and Water IngressThermal Analysis and Design Optimization Support on:- Heat Exchanger Modeling- Electric Vehicle (EV) Cooling Package- Intake and Exhaust System- Powertrain Cooling SystemPhysical Testing- Aerodynamic Drag Measurement at Full-Scale in Windtunnel- Vehicle Coastdown Test for Road Load and Drag Force Quantification- Heat Exchanger Performance Quantification
  • Louisiana State University
    Research Assistant - Cfd Modeling & Simulation
    Louisiana State University 2011 - 2017
    Baton Rouge, La, Us
    Dissertation: “A Multi-Scale Approach for Modeling Shock Ignition and Burn of Granular HMX”• Research Objective: Development of a robust, flexible, and computationally inexpensive multi-phase continuum model to investigate shock wave propagation through granular energetic materials. The model can be used as a tool for mitigation of potential safety hazard. • Modeling Approach: Multiphase continuum model approach is adopted and the resulting model is comprised of a system of hyperbolic partial differential equations representing mass, momentum and energy balance laws in each phase. The system of equations is closed by constitutive relations, an evolutionary expression for volume fraction, algebraic interphase exchange terms, and a saturation constraint.• Numerical Technique: The foundation of the numerical scheme used in this work is a conservative, finite-volume, central scheme, that is total variation diminishing (TVD) which requires less information concerning the eigenstructure of the model equations.• Computational Analysis: Accurately predicted the mechanism of Deflagration-to-Detonation Transition (DDT) and Shock-to-Detonation Transition (SDT) in Granular HMX. Computationally examined meso-scale (particle scale) and macro-scale (bulk scale) dissipation by compaction shocks in low density granular HMX to determine the extent of agreement. Developed a multi-scale static coupling technique to use meso-scale information to develop macro-scale models.
  • Mercedes Benz Research And Development, India
    Design Engineer
    Mercedes Benz Research And Development, India Jun 2009 - Jan 2011
    Bangalore, Karnataka, In
    • CAD Modeling: Experience in update, modify, & generating 2D & 3D part drawings & 3D models of various power train sub system components with CatiaV5 & NX; with appropriate Geometric Dimensioning and Tolerancing (GD&T).• CAE Preprocessing: Experience in simplifying 3D models using ANSA/Pro-E for full vehicle CFD analysis by preparing CAD data (iges, step, vda-fs) into a single input file ready-for-simulation using appropriate solvers.• Experience in Workflow Management, Data Management, Model Comparison & Update with ANSA Task Manager. • Design, development, performance, and product life cycle management of power train (engine and transmission) sub systems using CATIA V5 & Siemens PLM for Mercedes Benz Cars.•Generation of section cuts using CATIA V5 for different engine configurations to facilitate thorough understanding for engineers, analysts, researchers, and shop floor technicians.

Pratap T. Rao Skills

Ansys Heat Transfer Fluid Dynamics Engineering Solidworks Catia Comsol Fortran Matlab High Performance Computing Mathcad Gambit Numerical Analysis Partial Differential Equations Finite Difference Finite Volume Mechanical Engineering Autocad Tecplot Latex Computer Aided Design Microsoft Office Microsoft Excel Python C++ C Cfx Combustion Microsoft Powerpoint Microsoft Word Openfoam Mpi Star Ccm+ Computational Fluid Dynamics Finite Element Analysis Thermodynamics Mathematical Modeling Fluent Ansa Meshing Aerodynamics Thermal Management Cfd Fluid Mechanics Finite Element Analysis Simulations Modeling Programming

Pratap T. Rao Education Details

  • Louisiana State University
    Louisiana State University
    Mechanical Engineering
  • People'S Education Society Institute Of Technology, India
    People'S Education Society Institute Of Technology, India
    Mechanical Engineering

Frequently Asked Questions about Pratap T. Rao

What company does Pratap T. Rao work for?

Pratap T. Rao works for Honda R&d Americas, Llc

What is Pratap T. Rao's role at the current company?

Pratap T. Rao's current role is CAE/CFD Analyst - Vehicle Performance at Honda R&D Americas, Inc..

What is Pratap T. Rao's email address?

Pratap T. Rao's email address is pr****@****ail.com

What schools did Pratap T. Rao attend?

Pratap T. Rao attended Louisiana State University, People's Education Society Institute Of Technology, India.

What skills is Pratap T. Rao known for?

Pratap T. Rao has skills like Ansys, Heat Transfer, Fluid Dynamics, Engineering, Solidworks, Catia, Comsol, Fortran, Matlab, High Performance Computing, Mathcad, Gambit.

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