Intelligent Machining
Master the fundamentals of self-aware machine tools and smart manufacturing systems. Perfect for Industry 4.0 implementation.
Master the fundamentals of self-aware machine tools and smart manufacturing systems. Perfect for Industry 4.0 implementation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Digital Manufacturing & Design Technology Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand the fundamentals of intelligent machining systems
Master various sensing techniques and signal processing methods
Implement process control strategies using PLCs
Apply machine learning concepts in manufacturing
Develop adaptive control solutions for smart manufacturing
Skills you'll gain
This course includes:
1 Hours PreRecorded video
16 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores intelligent machining systems and their implementation in modern manufacturing. Students learn about self-aware machine tools, smart sensors, and advanced control strategies. The curriculum covers essential topics including sensing techniques, signal processing, programmable logic controllers (PLCs), and adaptive control systems, preparing learners for implementing intelligent manufacturing solutions.
Introduction to Intelligent Machining
Module 1 · 3 Hours to complete
Sensors and Sensing Techniques
Module 2 · 2 Hours to complete
Process Control Strategies
Module 3 · 2 Hours to complete
Future Directions in Advanced Machining
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Associate Professor of Mechanical and Aerospace Engineering
Dr. Rahul Rai is an Associate Professor of Mechanical and Aerospace Engineering at the University at Buffalo, where he specializes in manufacturing and design. He holds a Ph.D. in Mechanical Engineering from The University of Texas at Austin, and his research focuses on digital manufacturing and design tools that enhance product and system fabrication. By integrating engineering innovations with machine learning, artificial intelligence, statistics, optimization, and geometric reasoning, Dr. Rai aims to address critical challenges in the manufacturing and engineering design domains.In his teaching role, Dr. Rai emphasizes the importance of manufacturing analytics, bringing his extensive knowledge to courses such as "Advanced Manufacturing Process Analysis" and "Intelligent Machining." His work not only contributes to academic knowledge but also aims to prepare students for real-world applications in the evolving landscape of manufacturing technology. Through his research and educational initiatives, Dr. Rai is dedicated to advancing the field of mechanical and aerospace engineering while fostering a new generation of engineers equipped with cutting-edge skills.
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Frequently asked questions
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