Cases
Xendoll has served more than 6,000 users around the world, providing machining equipment and teaching solutions to a large number of vocational and technical colleges and community schools.
Xendoll has served more than 6,000 users around the world, providing machining equipment and teaching solutions to a large number of vocational and technical colleges and community schools.
View MoreCultivate Cross-Disciplinary Comprehensive Abilities
This course aims to integrate the STEAM (Science, Technology, Engineering, Art, Mathematics) education concept with smart manufacturing. By operating an Industrial 4.0 smart manufacturing production line, students will gain an in-depth understanding of and hands-on experience with key technologies across various fields, such as industrial automation, robotics, CNC machining, sensor applications, and the Internet of Things (IoT). This will foster students’ ability to integrate knowledge across disciplines and stimulate innovative thinking.
Enhance Students’ Engineering Practice and Innovation Skills
Through this course, students will participate in the design, assembly, and debugging of smart manufacturing production lines, experiencing various engineering applications from hardware to software, from physical systems to information systems. By learning about system integration and modular design, students will improve their problem-solving abilities, team collaboration, and innovation capabilities, preparing them for careers in the field of smart manufacturing.
Build a Holistic View of Smart Manufacturing Systems
One of the core objectives of this course is to provide students with a comprehensive understanding of the overall framework of smart manufacturing systems. By engaging in operations with robotics, PLC (Programmable Logic Controller) control, CNC machining, sensors, IoT, and MES (Manufacturing Execution System) modules, students will master key technologies in Industrial 4.0. They will also understand how these sub-systems collaborate with each other, laying a solid foundation for their future careers in smart manufacturing or industrial automation.
Introduction to Smart Manufacturing and Industrial 4.0
Overview of Smart Manufacturing Systems: Introduce the core concepts, development trends, and technological frameworks of smart manufacturing and Industry 4.0. Analyze the application of technologies such as IoT, big data, cloud computing, and artificial intelligence (AI) in smart factories.
Components of an Industrial 4.0 Production Line: Examine the composition of automated production lines, including industrial 6-axis robots, 3D coordinate robotic arms, CNC lathes, CNC milling machines, PLC control systems, RFID systems, and intelligent warehouses. Discuss the full automation process from material input to product storage.
In-Depth Study and Hands-On Operation of Core Technology Modules
Robotics Technology and Applications: Provide a detailed understanding of industrial 6-axis robots in automated production lines, covering robot programming, task scheduling, and path planning. Students will write robot control programs and learn robot motion control and collaboration task distribution.
PLC and Automation Control Systems: Discuss the principles and applications of Programmable Logic Controllers (PLCs). Students will learn PLC programming languages (e.g., Ladder Diagram, LD), input/output interface configuration, and fieldbus communication protocols, with hands-on experience in controlling various modules of the production line.
CNC Technology and Machining: Analyze the working principles, programming languages, and machining processes of CNC lathes and CNC milling machines. Students will write and debug G-code to complete actual part machining tasks, understanding the role of CNC technology in flexible manufacturing systems.
RFID and Intelligent Warehouse Management: Teach the principles and applications of Radio Frequency Identification (RFID) technology. Students will learn how to use RFID tags and readers to track and manage materials and finished products in real-time, improving production line intelligence and data traceability.
System Integration and Debugging of the Production Line
Production Line Debugging: Under instructor guidance, students will complete the hardware connections and system integration of the production line, conducting debugging of the entire process from material input to finished product storage. Through this process, students will understand the interfaces and data flows between each module, learning how to optimize production lines for automation and flexibility.
Project-Based Learning: Students will participate in the design, debugging, and troubleshooting of the production line in small groups, applying problem-solving skills. Each group will work on task allocation, solution design, and issue analysis, eventually completing a full smart manufacturing project.
Application and Innovation of Extended Modules
MES (Manufacturing Execution System): Introduce the role of MES in smart factories. Students will learn how to use the MES system for production scheduling, quality control, and data collection, optimizing production management.
Visual Inspection and Quality Control: By integrating machine vision systems, students will understand how image processing technology is used for part quality inspection and defect analysis, enhancing the smart manufacturing line’s inspection capabilities.
Benefits to the School
Enhance Teaching Quality and Attractiveness: By introducing the Industrial 4.0 smart manufacturing production line training system, the school can provide students with up-to-date, industry-relevant content that aligns with the current trends in manufacturing. The hands-on and application-focused nature of the course will greatly enhance the quality of teaching and attract more students to the related programs.
Promote STEAM Education Implementation: The course will organically integrate science, technology, engineering, art, and mathematics, advancing the school’s STEAM education initiatives and providing students with a comprehensive, multidimensional learning platform.
Strengthen Industry Partnerships: Through the smart manufacturing production line course, the school can establish stronger ties with the industry, providing students with more internship and employment opportunities, thus increasing the school’s influence in vocational and technical education.
Benefits to Students
Enhance Cross-Disciplinary and Comprehensive Skills: Students will not only master individual technical skills but will also learn how to integrate different technological modules during hands-on operations. This will improve their cross-disciplinary integration abilities and help them understand how various systems work together.
Boost Engineering Practice and Innovation: Through project-based learning and practical exercises, students will develop engineering thinking, strengthen their innovation capabilities, and improve their problem-solving skills, preparing them for real-world challenges.
Increase Employability: By mastering key Industrial 4.0 technologies, such as robotics, PLC control, CNC machining, RFID, and MES, students will have a competitive advantage in industries such as smart manufacturing, automation, and robotics, increasing their employability and career opportunities.
Benefits to the Industry
Train High-Quality Technicians for Smart Manufacturing: This course will train a large number of skilled professionals who are proficient in robotics, automation, and smart manufacturing technologies, meeting the growing demand for skilled workers in the industry.
Facilitate Digital Transformation in Enterprises: By training engineers who are adept at smart manufacturing technologies, the course helps businesses in their transition to Industry 4.0, improving production efficiency, reducing costs, and enhancing competitiveness.
Through this course, students will gain a deep understanding and practical experience in the core technologies of smart manufacturing. They will enhance their cross-disciplinary skills, engineering practice abilities, and problem-solving capabilities. The course will benefit the school by providing high-quality STEAM education resources, preparing students for careers in smart manufacturing, and fostering closer industry collaboration. The course will also contribute to the growth of the smart manufacturing industry by equipping students with the skills needed to drive technological advancement.
This teaching plan uses the following products:
1.Industry 4.0 smart factory XDFDM-001
2.3 Axis CNC Machine Center--VMC300
Xendoll has served more than 6,000 users around the world, providing machining equipment and teaching solutions to a large number of vocational and technical colleges and community schools.
View More