CAD Designing & ANSYS Analysis

This course provides a comprehensive introduction to CAD designing and simulation analysis using ANSYS. You’ll learn to create precise 2D and 3D models, master key CAD tools, and design complex mechanical components. The ANSYS module focuses on simulation techniques, including structural, thermal, and fluid flow analysis, enabling you to evaluate and optimize your designs for real-world applications.

Perfect for engineering students and professionals, this course combines theory with hands-on projects to enhance your skills in modern design and analysis tools.

575.00

About This Course

Course Overview:

This comprehensive course is designed to provide in-depth knowledge of CAD (Computer-Aided Design) and FEA (Finite Element Analysis) using ANSYS. It bridges the gap between conceptual design and engineering analysis, empowering learners with the skills to create, analyze, and optimize designs in real-world engineering scenarios.

What You’ll Learn:

  1. CAD Designing:

    • Fundamentals of CAD and 3D modeling.
    • Hands-on training in industry-standard software like SolidWorks
    • Techniques for creating complex assemblies and parts.
    • Design optimization and documentation.
  2. ANSYS Analysis:

    • Introduction to Finite Element Analysis (FEA) principles.
    • Static structural analysis and dynamic simulations.
    • Thermal analysis for heat transfer studies.
    • Fluid flow simulation (CFD) using ANSYS Fluent.
    • Post-processing and interpreting simulation results.

Outcomes:

By the end of this course, participants will:

  • Gain proficiency in CAD tools for creating detailed and optimized 3D designs.
  • Master FEA simulations using ANSYS for structural, thermal, and fluid flow analysis.
  • Be equipped to solve real-world engineering challenges effectively.
  • Boost their employability in design and analysis roles across industries.

Course Content

Module 1 - Introduction to CAD

1.1 – Overview to CAD

1.2- Setting up a workspace and drawing basic shapes

2.1- Drawing Fundamentals in SolidWorks

2.2- Advanced sketching techniques

2.3- Dimensioning and modifying sketches

2.4- Circular Patterns and path functions

2.5- 2D drawing of a component

3.1- Introduction to 3D Modelling

3.2- Revolve feature

3.3- Sweep and Sweep Cut

3.4- Extrude, Extrude Cut, Thread Cut, Loft

3.5- Advanced CAD Techniques

4.1- Parametric modelling , constraints and introduction to assembly

4.2- Assembly and mating of components

4.3- Assembly of Knuckle joint

4.4 – Assembly of Knuckle joint(2)

4.5- Rendering and Visualization of CAD Models

Project 5.1

Project 5.2

Project 5.3

6.1- Introduction to Simulation

6.2- Setting up Simulation Workspace and Basic Simulation

7.1- Static Simulation

7.2- Static Simulation

7.3- Advanced Static Simulation

7.4- Basic Thermal Simulation

7.5- Thermal Simulation

7.6- Heat Sink Simulation

7.7- Thermal Analysis of a Composite Wall

8.1- Advanced CAD Simulation

8.2- Modal Analysis

8.3- Buckling Analysis

8.4- Motion Analysis

9.1- ANSYS Workbench

9.2- Importing Geometry And Meshing Techniques

10.1- Structural Analysis in Mechanical APDL

10.2- Structural Analysis on Mechanical APDL

10.3- Structural Analysis – Mechanical APDL

10.4- Structural Analysis- Mechanical APDL

10.5- Thermal Analysis- Mechanical APDL

10.6 part 1- STATIC STRUCTURAL

10.6 part 2- STATIC STRUCTURAL

10.7- STATIC STRUCTURAL

10.8- STATIC STRUCTURAL( Contacts and BOLT PRETENSION)

10.9- STEADY STATE THERMAL ANALYSIS

10.10- TRANSIENT THERMAL ANALYSIS

11.1- CFD ANALYSIS

11.2- CFD ANALYSIS 2

11.3- Transient fluid analysis

11.4- ADVANCED CFD

11.5- ADVANCED CFD ANALYSIS

11.6- INTRODUCTION TO EXPLICIT DYNAMICS AND NON LINEAR SIMULATION

11.7- CFD PROJECT

11.8- CFD PROJECT 2

The Project taught in CAD Designing & ANSYS Analysis is:
Designing & Analysis of Disc Brake

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FAQs (Frequently Asked Questions)

Courses are designed from scratch by professionals. No prior knowledge is needed.

The course is usually delivered through a combination of video lectures and projects.

After completing a CAd Designing and ANSYS Analysis course, career prospects include roles such as Civil/Structural Engineer, Aerospace Engineer, Automotive Design Engineer, Tooling Engineer, Product Development Engineer, CFD Engineer, FEA Analyst/Simulation Engineer, Design Engineer, CAD Designer/Drafter.

₹575/- ₹4999/-

Use Coupon Code VITAL100 on checkout and get instant ₹100/- OFF on your next order!

Total Duration

22 Hours

Total Lessons

60

Course Validity

1 year

Level

All Levels

Job Opportunities

Mechanical Engineer
Automotive Industry
Aerospace Industry
Construction and Civil Engineering
Consumer Electronics
Biomedical Engineering
Manufacturing and Production

Target Audience

  • Civil/Structural Engineer
  • Aerospace Engineer
  • Automotive Design Engineer
  • Tooling Engineer
  • Product Development Engineer
  • CFD Engineer
  • FEA Analyst/Simulation Engineer
  • Design Engineer
  • CAD Designer/Drafter

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Course Curriculum

Module – 1 Introduction to Data Science
What is Data Science?
Introduction to the Data Science Workflow
Importance and applications of data science

Module – 2 Introduction to Data
Understanding data types: structured vs. unstructured
Basics of data collection and data entry

Module – 3 Data Wrangling
Data cleaning and pre-processing techniques
Handling missing data
Data manipulation with Pandas in Python

Module – 4 Exploratory Data Analysis (EDA)
Descriptive statistics: mean, median, mode, standard deviation, etc.
Data visualization basics with Matplotlib and Seaborn

Module – 5 Data Visualization
Data visualization using Matplotlib and Seaborn libraries
Visualizing distributions, relationships, and trends in data

Module – 6 Statistical Analysis
Probability theory and distributions
Hypothesis testing (t-tests, chi-square tests)
Correlation and regression analysis
Introduction to statistical inference

Module – 7 Machine Learning Fundamentals
Introduction to machine learning
Supervised learning
Unsupervised learning
Model evaluation and validation techniques

Module – 8 Model Evaluation
Train/test split
Cross-validation
Performance metrics: accuracy, recall, precision, sensitivity

Module – 9 Data Engineering
Database systems (SQL and NoSQL)
Data warehousing
Introduction to Power BI: overview, Power Query Editor, visualizing loaded data, creating story, creating dashboards

Module – 10 Advanced Topics and Applications 
Clustering algorithms (K-means, hierarchical clustering)
Dimensionality reduction techniques (PCA, t-SNE)
Natural Language Processing (NLP) basics
Introduction to deep learning and neural networks

Module 11 – Project
Project: applying learned concepts and tools to solve a real-world problem

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