- This course explores how AI is revolutionizing mechanical engineering, focusing on design, manufacturing, predictive maintenance, and optimization of mechanical systems. Tailored for mechanical engineers, product designers, and professionals in industries like automotive, aerospace, and manufacturing, it demonstrates practical AI applications to enhance engineering processes.
- Level: Intermediate
- Prerequisites: Background in mechanical engineering or related fields.
- Assessments: Micro Assessment weekly, Full Assessment in the final week.
Week 1 - Smart Design & Simulation with AI
Learning OutcomeLeverage AI to enhance mechanical design and simulations.
1.1 AI in generative design for mechanical components.1.2 Machine learning for material selection and optimization.
1.3 AI for simulating mechanical behaviors under different conditions.
Practical Component
Use AI tools to design and simulate a mechanical component.
Week 2 - AI-Powered Manufacturing Excellence
Learning OutcomeLearn how AI improves and optimizes manufacturing processes.
2.1 Machine learning for predictive quality control in manufacturing.2.2 AI for streamlining assembly line operations.
2.3 AI-driven supply chain and inventory management.
Practical Component
Develop an AI model to optimize production workflows in a factory.
Week 3 - Predictive Maintenance: AI in Action
Learning OutcomeExplore AI applications in predicting and preventing mechanical failures.
3.1 AI for condition monitoring and fault detection in machinery.3.2 Machine learning models for predicting failure in mechanical components.
3.3 AI-driven maintenance scheduling for mechanical systems.
Practical Component
Build an AI-based predictive maintenance system for mechanical equipment.
Week 4 - Robotics & Automation with AI
Learning OutcomeDive into the use of AI in robotics and automation within mechanical engineering.
4.1 AI-driven motion planning for robots.4.2 Machine learning for robot vision and sensory processing.
4.3 AI for optimizing robotic assembly and operations.
Practical Component
Build an AI model for robotic motion planning.
Week 5 - Smart Thermal & Fluid Systems with AI
Learning OutcomeDiscover how AI optimizes thermal and fluid systems in mechanical engineering
5.1 AI for heat transfer analysis and optimization.5.2 Machine learning models for fluid flow prediction.
5.3 AI-driven solutions for HVAC and cooling systems.
Practical Component
Develop an AI tool for optimizing thermal efficiency in mechanical systems.
Week 6 - Capstone Project and Assessment
Learning OutcomeApply AI to a real-world mechanical engineering challenge.
6.1 Develop an AI-based solution for mechanical design, production, or maintenance.6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.
Practical Component
Present an AI-powered solution for a mechanical engineering challenge.