Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F19%3A43958515" target="_blank" >RIV/49777513:23210/19:43958515 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1996-1944/12/16/2551" target="_blank" >https://www.mdpi.com/1996-1944/12/16/2551</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ma12162551" target="_blank" >10.3390/ma12162551</a>

Result language

angličtina

Original language name

Investigation of Surface Roughness and Predictive Modelling of Machining Stellite 6

Original language description

The aim of the paper was to examine the influence of cutting conditions on the roughness of surfaces machined by longitudinal turning, namely of surfaces coated with Stellite 6 prepared by high-velocity oxygen fuel (HVOF) technology and applied onto a standard structural steel substrate. From the results of measurements of the cutting parameters, a prediction model of the roughness parameters was created using mathematical and statistical methods. Based on a more detailed analysis and data comparison, a new method for prediction of parameters of longitudinal turning technology was obtained. The main aim of the paper was to identify the mutual discrete relationships between the substrate roughness and the machining parameters. These were the feed rate vc (mmin????1), in the case of turning and milling, and the feed rate f (mmrev????1) and the depth of cut ap (mm). The paper compared and verified two approaches of this method, namely the mathematical statistical approach, the analytical approach and measured dates. From the evaluated and interpreted results, new equations were formulated, enabling prediction of the material parameters of the workpiece, the technological parameters and the parameters of surface quality.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20501 - Materials engineering

Project

<a href="/en/project/LO1502" target="_blank" >LO1502: Development of Regional Technological Institute</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Materials

ISSN

1996-1944

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

16

Country of publishing house

CH - SWITZERLAND

Number of pages

23

Pages from-to

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UT code for WoS article

000484464800052

EID of the result in the Scopus database

2-s2.0-85070565081