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Nanoscience and Technology: An International Journal

Publication de 4  numéros par an

ISSN Imprimer: 2572-4258

ISSN En ligne: 2572-4266

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.7 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.7 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00023 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.11 SJR: 0.244 SNIP: 0.521 CiteScore™:: 3.6 H-Index: 14

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INVESTIGATING THE OPPORTUNITIES FOR DEFINING THE FATIGUE CHARACTERISTICS OF TOOLS WITH A NANOLAYER COATING DURING CUTTING

Volume 5, Numéro 3, 2014, pp. 239-248
DOI: 10.1615/NanomechanicsSciTechnolIntJ.v5.i3.80
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RÉSUMÉ

The efficiency of contemporary machine-building manufacture is closely related to ensuring the quality in conditions of intensification and high-level automation of technological processes. The use of numerically controlled machines, automated machine complexes, and flexible production systems increased the process output efficiency significantly due to concentration of operations in the same equipment. However, unstable and, sometimes, low operational characteristics of the cutting tools remain a factor restraining further increase of mechanical processing efficiency. One of the most promising ways to increase tool durability by protecting the contact surfaces (solid solutions and carbides) is the application of the cutting blades with a thin wear-resistant coating deposited layer by layer using ion-plasma methods. In such case, the thickness of the coating deposited in one run by the spray unit makes 20-200 nm. This work investigates hard alloys with such nanolayer nitride and oxide coating.
Such blades with wear-resistant coating should meet strict requirements in the process of their manufacture and operation. One of the conditions for successful application of the blades is a high degree of adhesion between the coating and the substrate. In identical coating conditions, the degree of adhesion is defined by the structural defects on the coating-substrate interface and the residual stress. The residual stress may not only reduce the adhesion, but deteriorate the coating properties, i.e., generate microcracks resulting in the coating chipping and fracture. Thusly, the operation efficiency of tools equipped with blades with wear-resistant coating depends not only on the wear resistance of the coating, but also on the coating-substrate characteristics and the effective stress.
Currently, the cutting properties of blades with a coating are evaluated only by the resistance, whereas methods for determining the fatigue characteristics of the blades with a deposited coating are nonexistent. In this work, we propose such method by testing it on nanolayer coating based on titanium nitride and aluminum oxide. Also, we investigate the modifications in the structure of the processed and worn samples of hard alloy with a coating.

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