Electric Vehicle

5.0

ANSYS Engineering: Structural Analysis

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This Certification Course in ANSYS for EVs: From Fundamentals to Structural Analysis is designed to take learners from the basics of Computer-Aided Engineering (CAE) to performing full-scale structural simulations using ANSYS Workbench. Starting with foundational concepts like FEA and FEM, the course guides students through software installation, geometry cleanup, meshing, and structural analysis setup. Real-world engineering scenarios are used to demonstrate material selection, boundary condition application, and result interpretation. Whether you're a student, engineer, or professional looking to upgrade your simulation skills, this course provides the knowledge and tools to excel in the world of virtual product testing and structural mechanics.

Duration: 1 Months

Program Duration

Self Paced - Recorded

Learning Format

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Learn from World's Top Ranked
Indian Institute of Technology

Recognized by the best

Recognized by the best

Industry-Approved Curriculum – Designed with feedback from 25+ leading companies, including John Deere, L&T, TCS, and Maruti

Industry-Approved Curriculum – Designed with feedback from 25+ leading companies, including John Deere, L&T, TCS, and Maruti

Career Opportunities

Key Job Areas

Job Roles

Skill Sets

Companies Hiring

  • Computer-Aided Design (CAD)

  • Computer-Aided Engineering (CAE)

  • Finite Element Analysis (FEA)

  • Structural Simulation

  • Material Modeling

  • Geometry Handling and Cleanup

  • Meshing and Analysis Setup

  • Static Structural Analysis

  • Engineering Simulation and Modelling

Career Opportunities

Key Job Areas

Job Roles

Skill Sets

Companies Hiring

  • Computer-Aided Design (CAD)

  • Computer-Aided Engineering (CAE)

  • Finite Element Analysis (FEA)

  • Structural Simulation

  • Material Modeling

  • Geometry Handling and Cleanup

  • Meshing and Analysis Setup

  • Static Structural Analysis

  • Engineering Simulation and Modelling

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Looking to enroll your employees into this program ?

Inquire Now

Inquire Now

Projects

Project 1: CAD to FEA Workflow - Structural Analysis of a Mechanical Component

Course Prerequisites

Who can take this course?

This course is suited for participants who have a basic understanding of CAD and mechanical engineering principles. It provides a balance between introductory and advanced concepts, making it suitable for students, professionals, and individuals looking to expand their simulation skills.

  • Freshers

  • Professionals


    Hardware & Software Required

Hardware: Minimum: 8 GB RAM, Quad-Core Processor, and 50 GB of free disk space.

Software:

  • ANSYS Student Version or Professional License

  • CAD software such as SolidWorks, AutoCAD, or CATIA (optional for geometry generation).

Technical expertise you will gain

Technical Expertise You Will Gain:

  • Understand and apply the principles of CAD, CAM, and CAE in engineering projects.

  • Navigate and utilize ANSYS for performing comprehensive simulations, including static structural analysis.

  • Perform geometry clean-up, simplification, and meshing for complex models.

  • Set up and run finite element analyses and interpret the results to inform design decisions.

  • Apply material science principles within simulations, including the use of isotropic and orthotropic materials.

  • Validate and verify models to ensure the accuracy and reliability of simulation results.

Program Curriculum

Courses

Simulation and Numerical Analysis

Battery Technology

Motor Systems

Electric Vehicle Technology

CAD/CAE Design/Engineering

System Design & Engineering

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Courses

Simulation and Numerical Analysis

Battery Technology

Motor Systems

Electric Vehicle Technology

CAD/CAE Design/Engineering

System Design & Engineering

Quick Links

R&D

Resources

Contact Us

Resources

Case Studies

Presentations

Careers

Contact

Subscribe

Alumni

Offices

Privacy Policy

Academic Policy

Terms of Use

Sitemap

Quick Links

R&D

Resources

Contact Us

Resources

Case Studies

Presentations

Careers

Contact

Subscribe

Alumni

Offices

Privacy Policy

Academic Policy

Terms of Use

Sitemap