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

Author:

Zhang Xiao1,Liu Xun1,Song Yifan2,Li Xuehan3,Huang Wei4,Zhou Yang4,Liu Sheng1245ORCID

Affiliation:

1. The Institute of Technological Sciences, Wuhan University, Wuhan 430070, China

2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430070, China

3. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430070, China

4. Hefei Archimedes Electronic Technology Co., Ltd., Hefei 230094, China

5. School of Power and Mechanical Engineering, Wuhan University, Wuhan 430070, China

Abstract

With the rapid development of novel energy vehicles, power generation, photovoltaics, and other industries, power electronic devices have gained considerable attention. Insulated-gate bipolar transistors (IGBTs) have been widely used in those fields. With the emergence of intelligent manufacturing concepts such as Germany’s “Industry 4.0” and China’s “Made in China 2025”, conventional manufacturing which needs to be upgraded with higher efficiency and yield is rapidly pivoting toward digitalization and intelligence. The digital twin methodology has been extensively used in various industries for constructing virtual models of physical entities, facilitating real-time data interconnection to reduce costs and improve efficiency. This study proposes a modular intelligent IGBT production line based on the digital twin. Real-time data are transmitted from a physical line to a digital line for storage and analysis. The digital line is visualized, and an intelligent management platform containing multiple functions is developed. Additionally, a process simulation database is established to obtain the optimal process parameters. Numerous quality issues that can arise during each process of IGBT packaging are addressed using a problem-solving approach based on the digital twin methodology. Consequently, this digital-twin-based IGBT intelligent production line effectively enhances yield rates and efficiency. IGBT modules with various packaging forms such as ACF, ACE, and ACD are manufactured.

Funder

National Key R&D Program of China

Hubei Provincial Strategic Scientist Training Plan

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference42 articles.

1. Digital twins-based smart manufacturing system design in Industry 4.0: A review;Leng;J. Manuf. Syst.,2021

2. Improving material quality management and manufacturing organizations system through Industry 4.0 technologies;Ammar;Mater. Today Proc.,2021

3. Digital Twin applications toward Industry 4.0: A Review;Javaid;Cogn. Robot.,2023

4. Michael, G. (2017). On the Move to Meaningful Internet Systems. OTM 2017 Workshops, Proceedings of the Confederated International Workshops, EI2N, FBM, ICSP, Meta4eS, OTMA 2017 and ODBASE Posters 2017, Rhodes, Greece, 23–28 October 2017, Springer.

5. About The Importance of Autonomy and Digital Twins for the Future of Manufacturing;Rosen;IFAC-PapersOnLine,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3