Digital Technology in Manufacturing

This course is meant for Mechanical, Manufacturing, and Mechatronics students, as well as aspiring Engineers and technologist. You will go on an exploration and hands-on learning adventure, gaining valuable insights and practical skills in innovative technology. In our first module, "Demystifying Cyber-Physical Systems," you will lay a solid foundation by looking into several facets of CPS. This subject is designed to offer you with a comprehensive grasp of the interdisciplinary nature of CPS, ranging from embedded processors to wireless communication, cybersecurity, and cloud-edge computing. Continuing to our second module, "Demo on Design and Development of CPS Components in Industrial Sensors and Control using Embedded C - Part 1," you will be immersed in the fascinating world of industrial sensors and controls. With hands-on experience with the STM32F103F ARM Cortex processor and STM Cube IDE, you'll learn how to interface sensors such as OLED, Humidity & Temperature Sensor, Ultrasonic Distance Sensor, and Hall Effect Sensor with the ARM Cortex processor, gaining valuable skills for implementing CPS components in industrial sensor applications. Our learning journey proceeds with our third session, "Demo on Design and Development of CPS Components in Industrial Sensors and Control Using Embedded C - Part 2." In this section, you will go deeper into practical applications, learning how to interface sound, current, voltage, soil moisture, tilt, and touch sensors with an ARM Cortex processor. Through hands-on demonstrations and Embedded C programming, you will gain a better grasp of sensor integration and control techniques for industrial CPS applications. Transitioning to our fourth module, you will explore the "Design and Development of a 5-Degree Freedom Robotic Arm for Industrial Automation within the context of CPS." This module covers fundamental aspects of 5-DOF, including pneumatic and hydraulic systems, control of solenoid valves through microcontrollers, and the Hartenberg Principle. Hands-on experiences with Arduino Nano, servo motors, and Simulink simulation will further enhance your skills in robotic arm assembly and testing. By the end of this course, you will emerge equipped with in-demand skills in CPS, industrial automation, and sensor integration, ready to tackle real-world challenges in the exciting field of digital manufacturing and Industry 4.0.

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.