Digital-Twin-Driven Intelligent Insulated-Gate Bipolar Transistor Production Lines

Area of Science:

• Power Electronics Manufacturing
• Industry 4.0
• Digital Twin Technology

Background:

• Insulated-gate bipolar transistors (IGBTs) are crucial for novel energy vehicles and power generation.
• Traditional manufacturing requires upgrades towards digitalization and intelligence for higher efficiency.
• Digital twin methodology offers virtual modeling and real-time data interconnection for industrial optimization.

Purpose of the Study:

• To propose a modular intelligent IGBT production line utilizing digital twin methodology.
• To establish a visualized digital line for real-time data analysis and management.
• To address quality issues in IGBT packaging through a digital twin-based problem-solving approach.

Main Methods:

• Development of a modular intelligent IGBT production line.
• Implementation of real-time data transmission from physical to digital lines.
• Creation of a visualized digital management platform and a process simulation database.

Main Results:

• Effective enhancement of yield rates and production efficiency for IGBT manufacturing.
• Successful management and analysis of real-time production data.
• Optimization of process parameters through simulation and problem-solving.

Conclusions:

• The digital twin-based intelligent production line significantly improves IGBT manufacturing outcomes.
• This methodology facilitates intelligent management and quality control in power electronic device production.
• The system supports the manufacturing of diverse IGBT modules, including ACF, ACE, and ACD.