Self Paced

Machine Design & Structural Optimization Program

Engineer with Precision: Machine Design and Structural Optimization

Register NowExplore Details

Early access to e-LMS included

  • Mode: Online/ e-LMS
  • Type: Self Paced
  • Level: Moderate
  • Duration: 1 Month

About This Course

The Machine Design & Structural Optimization Program combines foundational principles with hands-on applications in modern design and optimization tools. It covers stress analysis, materials selection, CAD modeling, finite element analysis (FEA), and structural optimization techniques. Through real-world projects, participants learn how to design robust machines and structures that minimize material use while maximizing strength and performance. This program is ideal for engineers and designers focused on building sustainable, optimized solutions for mechanical and industrial applications.

Aim

This program aims to provide advanced knowledge and practical skills in machine design and structural optimization. It focuses on design principles, materials selection, and optimization techniques to create durable, efficient, and cost-effective engineering solutions. Participants will gain expertise in designing mechanical systems and structures, optimizing them for performance, and meeting industry standards.

Program Objectives

  • Understand foundational principles of machine design and structural analysis.
  • Develop proficiency in CAD modeling, FEA, and materials selection.
  • Learn to optimize mechanical structures for weight, durability, and performance.
  • Gain experience in using AI and ML techniques for design improvement.
  • Complete a capstone project that showcases expertise in design and structural optimization.

Program Structure

Module 1: Fundamentals of Machine Design

  • Overview: This module introduces the basics of machine design, focusing on materials, loads, and design principles.
  • Topics Covered:
    • Basics of mechanical component design
    • Load analysis and material selection
    • Introduction to CAD modeling and design principles
  • Project: Design a basic mechanical component, considering load-bearing capacity, material properties, and functional requirements.

Module 2: CAD Modeling and Finite Element Analysis (FEA)

  • Overview: Learn the essentials of CAD modeling and finite element analysis for structural assessment and validation.
  • Topics Covered:
    • CAD modeling for mechanical components
    • Introduction to FEA and structural analysis
    • Meshing, boundary conditions, and load application in FEA
  • Project: Create a 3D model of a structural component and perform a basic FEA analysis to assess stress distribution.

Module 3: Structural Analysis and Design for Durability

  • Overview: Explore structural analysis techniques focused on durability, fatigue, and material strength.
  • Topics Covered:
    • Durability analysis for machine components
    • Fatigue and fracture analysis
    • Enhancing design reliability through structural analysis
  • Project: Conduct a fatigue analysis on a mechanical part, optimizing the design for longevity and durability.

Module 4: Optimization Techniques in Machine Design

  • Overview: Discover optimization techniques for enhancing structural performance and reducing material costs.
  • Topics Covered:
    • Design optimization principles and techniques
    • Topology optimization for lightweight structures
    • Multi-objective optimization in machine design
  • Project: Apply topology optimization to a structural component, reducing material usage while maintaining performance.

Module 5: Capstone Project in Machine Design and Optimization

  • Overview: Apply your skills in a capstone project focused on designing and optimizing a machine component for a real-world application.
  • Project Options:
    • Design and optimize an automotive component for strength and weight reduction.
    • Develop a load-bearing component for an industrial machine, optimizing for durability and material efficiency.
    • Create an aerospace part with structural optimization to reduce weight without compromising performance.
  • Outcome: Complete a comprehensive design and optimization project, showcasing your expertise in machine design and structural optimization.

Who Should Enrol?

  • Mechanical and Structural Engineers: Looking to advance their skills in machine design and optimization.
  • Engineering Students and Graduates: Interested in FEA, CAD modeling, and structural analysis.
  • Professionals in Automotive, Aerospace, and Industrial Design: Seeking expertise in design optimization and performance analysis.

Program Outcomes

  • Expertise in CAD modeling, finite element analysis, and structural optimization.
  • Ability to select appropriate materials for mechanical durability and efficiency.
  • Skills in using AI and machine learning for advanced structural optimization.
  • Practical experience in analyzing, designing, and optimizing mechanical systems.

Fee Structure

Standard: ₹9,998 | $298

Discounted: ₹4999 | $149

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
Forecasting patient survival in cases of heart failure and determining the key risk factors using Machine Learning (ML), Predictive Modelling of Heart Failure Risk and Survival

The mentor was very knowledgeable and conveyed complex concepts in a clear and structured way.

Eleonora Lombardi
★★★★★
Large Language Models (LLMs) and Generative AI

The mentor was supportive, clear in their guidance, and encouraged active participation throughout the process.

António Ricardo de Bastos Teixeira
★★★★★
🌱 AI-Powered Life Cycle Assessment Dashboards

Thanks for the points raised, the only suggestion is to involve more interactive parts into the course.

Javad
★★★★★
AI for Environmental Monitoring and Sustainablility

Great mentor!

Mladen Kulev

View All Feedbacks →

Still have any Query?

>