Selection of a Cutting Tool by Means of a Digital Model

Autor:	Yu. G. Kabaldin, A. M. Kuz’mishina, D. A. Shatagin
Rok vydání:	2019
Předmět:	Cutting tool Computer science Neural network modeling Mechanical Engineering Mechanical engineering engineering.material Industrial and Manufacturing Engineering Wear resistance Machining Coating engineering Tool wear Engineering design process Selection (genetic algorithm)
Zdroj:	Russian Engineering Research. 39:761-765
ISSN:	1934-8088 1068-798X
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d0c276986bb07a655cdff01ab5956fdf https://doi.org/10.3103/s1068798x19090089 Zobrazit plný text záznamu Full text from SpringerLink