Selection of a Cutting Tool by Means of a Digital Model

Yu. G. Kabaldin; D. A. Shatagin; A. M. Kuz’mishina

doi:10.3103/S1068798X19090089

Selection of a Cutting Tool by Means of a Digital Model

Authors: Kabaldin Y.G.¹, Shatagin D.A.¹, Kuz’mishina A.M.¹
Affiliations:
1. Alekseev Nizhny Novgorod State Technical University
Issue: Vol 39, No 9 (2019)
Pages: 761-765
Section: Article
URL: https://journal-vniispk.ru/1068-798X/article/view/227792
DOI: https://doi.org/10.3103/S1068798X19090089
ID: 227792

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Abstract
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Abstract

A digital model of a cutting tool produced by neural-network modeling is considered. By means of this model, the composition and structure of a wear-resistant coating may be optimized. The machining conditions that ensure maximum wear resistance of the tool may also be identified.

Keywords

cutting tool, neural-network modeling, digital model, coating composition, tool wear

About the authors

Yu. G. Kabaldin

Alekseev Nizhny Novgorod State Technical University

Author for correspondence.
Email: uru.40@mail.ru
Russian Federation, Nizhny Novgorod, 603155

D. A. Shatagin

Alekseev Nizhny Novgorod State Technical University

Email: uru.40@mail.ru
Russian Federation, Nizhny Novgorod, 603155

A. M. Kuz’mishina

Alekseev Nizhny Novgorod State Technical University

Email: uru.40@mail.ru
Russian Federation, Nizhny Novgorod, 603155

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