Technical seminar for major projects ppt.pptx

For project

1. BLDEA's V P Dr PG Halakatti College of Engineering & Technology Presented by: Zeenat kousar .I. Sangalikar (2BL21ME038) Topic: Technical Seminar Date: 19/05/2025 DEPARTMENT OF MECHANICAL ENGINEERING Under the Guidance of: Dr. Shahikanth G. Cholke

2. CONTENT: Introduction Importance of AI & ML in Mechanical Engineering. Applications & Benefit Analysis. AI in Design & Simulation. ML in Predictive Maintenance towards Suitable smart Manufacturing (Industry 4.0). Robotics and Automation. AI in Quality Control. Challenges & Future Scope. Conclusion. References. 02

3. Introduction to AI & ML: Artificial Intelligence (AI) AI refers to machines simulating human intelligence like learning, reasoning, and problem-solving. Machine Learning (ML) A subset of AI that learns from data and improves performance over time without being explicitly programmed. 03 ARTIFIAL INTELLIGENCE MACHINE LEARNING

4. 04

5. Applications & Benefit Analysis: Applications: Intelligent Manufacturing Mechanical Design and Simulation Robotics & Automation Quality Control Benefit analysis: 1. Direct Benefit Improved Production Efficiency Enhanced Product Quality Reduced Operation and Maintenance Costs 2. Indirect Benefit Promoting Innovation and Development Enhancing Market Competitiveness 05

6. AI/ML in Mechanical Design – Simulation: Generative Design Reduced Design Time Improved Simulation Accuracy Data-Driven Decision Making Automated Error Detection Performance Prediction Optimization of Material Usage Example: Tesla 06

7. AI/ML in Robotics and Automation: Smart Decision-Making Adaptive Learning Automated Repetitive Tasks Human-Robot Collaboration Vision and Sensing Predictive Maintenance in Robots Example: Tesla uses AI-powered robots in its Gigafactories for car manufacturing. 08

8. AI in Quality Control: Automated Visual Inspection Real-Time Defect Detection Pattern Recognition Higher Accuracy & Consistency Data-Driven Decisions Example: Bosch uses AI-based visual inspection systems in its manufacturing units to detect microscopic defects in components, ensuring zero-defect manufacturing. 09

9. 10

10. 11 Conclusion: AI/ML are transforming mechanical engineering by making systems smarter and more efficient. AI/ML are applied across design, manufacturing, quality, and maintenance delivering measurable advantages. AI accelerates design cycles and enhances accuracy through intelligent simulations and optimizations. Smart manufacturing uses AI for real-time control, resource optimization, and process automation. ML enables early fault detection and reduces machine downtime, saving cost and enhancing reliability. AI-driven robots improve speed, precision, and adaptability in manufacturing operations. AI ensures consistent product quality by automating defect detection using computer vision.

11. References: 🔗 https://www.ijmerr.com/ 🔗 https://www.hillpublisher.com/ArticleDetails.aspx?cid=4415&type=PDF 🔗 https://www.tesla.com/AI 🔗 https://doi.org/10.1016/j.procs.2020.03.123