| State of Art and Bibliometric Analysis of Alumina Cutting
Tool Using Computer Vision |
Bijendra Kumar,a, b Tapas Kumar Bhattacharya,c
Nipu Modaka
and Partha Haldard,*
Pages : 117-131
DOI: 10.1080/0371750X.2025.2482986 |
| Abstract |
| Bibliometric analysis aims to provide valuable insights to understand current state of
the art in the area of study. Alumina cutting tool has many advantageous properties,
high hardness, thermal stability and resistance to chemical wear. Reading a huge
number of abstracts and extracting the important information is quite difficult. This
paper elaborates how natural language processing be a useful tool in this regard. In
this paper, a bibliometric analysis has been performed on alumina cutting tool using
data collected from the Scopus database (795 documents published from 1970 to
2024). This analysis covers the research landscape surrounding alumina cutting tools
by employing quantitative methods to analyse publication trends, author collabora-
tions, and citation patterns. Furthermore, the analysis highlights the most influential
articles and journals. Natural language processing models extract data on material
composition and associated properties. The study has found that coatings like VC
and Cr3C2
significantly enhance fracture toughness and hardness. Additionally, the
analysis identifies steel as the most commonly machined material with alumina tools.
Fracture toughness, cutting tool hardness, flexural strength and modulus of elasticity
are also analysed, showing a wide range of values, which indicates the diverse
applications and effectiveness of alumina-based tools in different industrial scenarios.
[Keywords: Alumina cutting tool, Bibliometric analysis, VOSviewer, Biblioshiny,
Mechanical Properties, Nano additives, Coatings, Machining] |
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