Mr. Yichen Zang Profile

Yichen Zang

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Proceedings Article | 22 May 2024 Paper

Machine tool automation and artificial intelligence: a new mode of production

Guodong Wang, Yangcheng Zhang, Jian Yang, Yichen Zang, Jianping Xu

Proceedings Volume 13176, 131762T (2024) https://doi.org/10.1117/12.3029019

KEYWORDS: Artificial intelligence, Automation, Industry, Manufacturing, Industrial applications, Error analysis, Data modeling, Evolutionary algorithms, Decision making, Mathematical optimization

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This paper explores the evolution of industrial automation and AI's application in manufacturing, focusing on machine tool automation. It delves into its definition, characteristics, development trends, impact on production efficiency and quality, as well as existing challenges. AI applications in machine tool automation such as predictive maintenance, adaptive control, and intelligent optimization are discussed in detail, showcasing how AI enhances automation through examples. The study also touches upon the new production model combining AI with automation, exploring its implications for businesses and industry growth. In future outlooks, current study issues are highlighted alongside predictions for machine tool automation and AI's future, including potential challenges and solutions. Suggestions for policy makers and business decision makers are offered. Overall, this research underscores the significance of the new production model combining machine tool automation and AI in enhancing efficiency and industry development, despite existing challenges. Research limitations are acknowledged and future directions suggested.

Proceedings Article | 15 March 2024 Paper

Electrical control and fault diagnosis of CNC machine tool feed shaft

Guodong Wang, Yichen Zang, Gang Wang

Proceedings Volume 13075, 130751J (2024) https://doi.org/10.1117/12.3026992

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Since the 21st century, China's manufacturing industry has developed rapidly, and behind this rapid development, is the rapid development of machine processing equipment. The promotion of mechanical equipment is an important support to promote China from "manufacturing power" to "manufacturing power", and the quality of equipment is an important indicator of a country's industrial development level, is the key to improve a country's competitiveness. CNC machine tool belongs to one of the mechanical processing equipment, it is mainly through the mechanical principle, electrical control and hydraulic transmission principles to achieve the processing of parts. The overall accuracy of CNC machine tools is high, and the flexibility is good, and there are more applications in some important parts processing fields, such as parts processing of mechanical equipment, parts processing of large automation equipment, and even aerospace parts processing. Because the electrical control of the feed shaft will affect the quality of the whole equipment, so the study of the electrical control of the feed shaft and its fault diagnosis has important practical significance. The first part of the article is a review of the research background and status quo of CNC machine tools at home and abroad and determine the research objectives and purposes of this article. Secondly, it briefly introduces the structure and composition of CNC equipment involved in this article and analyzes the function of the electrical control system in CNC equipment. At the same time, some common faults of CNC machine motor are introduced briefly. The diagnosis and solution of electronic fault of a CNC machine tool are also briefly summarized.

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