Scholarlink

In automated manufacturing systems, certain machines, such as computer numeric controller (CNC) machines used in the automotive industry, often encounter challenges in achieving seamless integration—an issue frequently faced during the implementation of Industry 4.0 technologies. This challenge was identified by several of our industry partners and observed in Tec’s Smart Factory. To address this, the paper presents a methodology for integrating (1) an automatic door opening and closing system, (2) an automated press system, and (3) I/O signal integration with a programmable logic controller (PLC), to create a fully automated manufacturing system for the computer numeric controller (CNC) machine. This approach enhances manufacturing efficiency by improving coordination between machines and optimizing overall system automation, offering a comprehensive method for the Learning Factories community, and providing real industry challenges to the students.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integrating CNC Systems in Automated Production Lines: A Methodology for Seamless Integration in Learning Factories

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Raquel Tejeda-Alejandre,
  • Hiram Uribe-Hernández,
  • Carlos Vazquez-Hurtado,
  • Erick Ramírez-Cedillo

摘要

In automated manufacturing systems, certain machines, such as computer numeric controller (CNC) machines used in the automotive industry, often encounter challenges in achieving seamless integration—an issue frequently faced during the implementation of Industry 4.0 technologies. This challenge was identified by several of our industry partners and observed in Tec’s Smart Factory. To address this, the paper presents a methodology for integrating (1) an automatic door opening and closing system, (2) an automated press system, and (3) I/O signal integration with a programmable logic controller (PLC), to create a fully automated manufacturing system for the computer numeric controller (CNC) machine. This approach enhances manufacturing efficiency by improving coordination between machines and optimizing overall system automation, offering a comprehensive method for the Learning Factories community, and providing real industry challenges to the students.