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A Bibliometric Review of Research Developments in Cutting Force Error of Machine Tools in China

Author(s)

Haiying Hu1, Yongwen Hu2,*, Guohua Chen2

Affiliation(s)

1Library of Hubei University of Arts and Science, Hubei University of Arts and Science, Xiangyang, Hubei, China 2School of Mechanical Engineering, Hubei University of Arts and Science, Xiangyang, Hubei, China *Corresponding Author

Abstract

This study employs bibliometric methods, supported by specialized analytical tools such as CiteSpace and VOSviewer, to conduct a systematic analysis of literature related to machine tool cutting force error published in the China National Knowledge Infrastructure (CNKI) database between 2010 and 2024. By examining dimensions such as publication volume, author and institutional distribution, and keyword co-occurrence, the study reveals the developmental trajectory, research hotspots, and frontier trends in this field in China. The findings indicate that over the past fifteen years, the volume of publications on cutting force error has shown a steady upward trend, with research efforts primarily concentrated in universities and research institutes, and a gradual strengthening of industry - academia - research collaboration. Major research topics include cutting force error modeling, measurement technologies, and compensation methods. In recent years, the integration of emerging technologies - such as artificial intelligence and big data - with cutting force error research has become an increasingly prominent trend. This study provides valuable insights for researchers seeking to identify future research directions and foster technological innovation, while also offering a theoretical foundation for enterprises aiming to optimize their manufacturing processes.

Keywords

Machine Tool Cutting Force Error; Bibliometric Analysis; Research Progress; Research Hotspots; Frontier Trends

References

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