Mathematical methods of surface roughness evaluation of areas with a distinctive inclination

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F18%3A63520506" target="_blank" >RIV/70883521:28110/18:63520506 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.21062/ujep/106.2018/a/1213-2489/MT/18/3/363" target="_blank" >http://dx.doi.org/10.21062/ujep/106.2018/a/1213-2489/MT/18/3/363</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21062/ujep/106.2018/a/1213-2489/MT/18/3/363" target="_blank" >10.21062/ujep/106.2018/a/1213-2489/MT/18/3/363</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mathematical methods of surface roughness evaluation of areas with a distinctive inclination

Popis výsledku v původním jazyce

Surface roughness is one of the most significant evaluation factor in metal machining operations. Despite the small descriptiveness is usually quantified as the arithmetical mean roughness Ra especially in the automotive industry. In order to maintain the desired surface roughness, the appropriate setting of machining parameters is important to be set before the actual cutting process. The objective of this research is to analyse the effect of machining parameters on surface roughness of stainless steel X153CrMoV12-1 in CNC milling of slope surfaces with sintered carbide tool. The data were processed using multiparametric statistical methods to find optimal results. Linear regression models and probability dendrograms of similarities were determined for cutting conditions, cutting tools and slope of machined surfaces.

Název v anglickém jazyce

Mathematical methods of surface roughness evaluation of areas with a distinctive inclination

Popis výsledku anglicky

Surface roughness is one of the most significant evaluation factor in metal machining operations. Despite the small descriptiveness is usually quantified as the arithmetical mean roughness Ra especially in the automotive industry. In order to maintain the desired surface roughness, the appropriate setting of machining parameters is important to be set before the actual cutting process. The objective of this research is to analyse the effect of machining parameters on surface roughness of stainless steel X153CrMoV12-1 in CNC milling of slope surfaces with sintered carbide tool. The data were processed using multiparametric statistical methods to find optimal results. Linear regression models and probability dendrograms of similarities were determined for cutting conditions, cutting tools and slope of machined surfaces.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Manufacturing Technology

ISSN

1213-2489

e-ISSN

—

Svazek periodika

18

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

363-368

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85053677581