This course has been created for Mechanical, Manufacturing, and Mechatronics Engineers. The "Digital Manufacturing and Industry 4.0" course is intended for those who want to comprehend and navigate the transformative concepts and technologies that shape modern Industry. Throughout this course, participants will learn about the fundamental principles of digital manufacturing, the path to Industry 4.0, and the emerging technology that drives smart design and production processes through three modules.
In the first module, "Introduction to Digital Manufacturing," students will conduct a thorough examination of the drivers driving digital transformation in manufacturing. Learners will recognize the importance of efficiency, agility, and competitiveness in driving the industry into a new era. Key concepts such as the Digital Thread, Value Chain, and Smart Factory will be investigated to demonstrate how they are transforming traditional manufacturing processes.
Participants will learn about key concepts such as Digital Thread and Digital Twin, as well as their roles in enabling continuous information flow and virtual representations for analysis and optimization. The importance of a strong digital infrastructure, which includes networked systems, cybersecurity measures, and data analytics capabilities, will be highlighted.
The second module, "Evolution of Industry 4.0," builds on the knowledge learned in the first module. Participants will learn about the history and progress of Industry 4.0, from the fourth industrial revolution to the present era of intelligent, networked systems. Key components such as cyber-physical systems, the Internet of Things (IoT), cloud computing, and artificial intelligence will be emphasized, demonstrating how they work together to create adaptable production environments. The six Industry 4.0 design ideas will be discussed, providing students with a foundation for seamless integrating digital technologies.
In the last module of the course, students will learn about the latest innovations that shape smart design and production processes. Learners will look into Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM), recognizing its importance as the foundation for effective digital design and manufacturing instruction translation. Other technologies, such as Geometric Dimensioning and Tolerancing (GD&T), Computer-Aided Fixture Design, and automation adaptation, will also be discussed, with a focus on their contributions to precision, repeatability, and efficiency in manufacturing operations, which align with the larger goals of smart design and manufacturing.
Overview
Syllabus
- Introduction to Digital Manufacturing
- Digital Manufacturing revolutionizes industry with streamlined processes driven by digital transformation, emphasizing efficiency and innovation. Key dimensions include the Digital Thread for lifecycle connectivity, a reinvented value chain, and Smart Factory integration of IoT, AI, and analytics. This transformation demands a robust digital infrastructure to overcome challenges like data interoperability and upskilling, promising enhanced efficiency, quality, and competitiveness.
- Evolution of Industry 4.0
- "Industry 4.0 revolutionizes manufacturing through digital integration, marking the fourth industrial revolution with smart, interconnected systems. Key components include cyber-physical systems, IoT, and AI, fostering adaptable production environments. With real-time connectivity and digital twins, Industry 4.0 ensures efficient, validated processes, advancing towards intelligent, flexible manufacturing systems."
- Technology for Smart Design and Manufacturing
- "Smart Design and Manufacturing Technology revolutionize Digital Manufacturing, integrating CAD/CAM for efficient design-to-production processes. Computer-Aided Geometric Modelling Systems enable intricate shapes, while simulation tools like Finite Element Analysis ensure performance and safety standards. Automation enhances efficiency and accuracy, shaping a connected, precise future in manufacturing."
Taught by
Subject Matter Expert