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Naslov:Modelling of multiple surface roughness parameters during hard turning: a comparative study between the kinematical-geometrical copying approach and the design of experiments method (DOE)
Avtorji:ID Tomov, Mite (Avtor)
ID Gečevska, Valentina (Avtor)
ID Vasileska, E. (Avtor)
Datoteke:.pdf APEM17-1_075-088.pdf (4,16 MB)
MD5: CF2C6722B70CF0243808922B5898FE69
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:This paper proposes and applies two different methodologies for modelling the roughness parameters in hard turning. The first method is based on the kinematical-geometrical copying of the cutting tool geometry onto the machined surface including a feedback loop through the parameter of statistic equality of sampling lengths in surface roughness measurements (SE). The other method employs the Design of Experiments (DOE) principles expressing the roughness parameters as first order nonlinear function of the input variables: cutting speed v, feed f, depth of cut ap, and tool nose radius rε. The research includes the Ra and Rz roughness parameters which are commonly modelled throughout the research works, and additionally develops models for the Rp, Rv and Rmr(c) roughness parameters which are more challenging to model compared to Ra and Rz as they depend more on the shape of the roughness profile and position of its mean line. Both methodologies for all roughness parameters were verified using a CNC lathe and special rings made of steel EN C55 with hardness of 53±1 HRC. Considering that the roughness profile is just a part of the total geometric deviations of the processed surfaces, and it is obtained from the total profile using software filtration, the research also considers the Wa parameter (waviness profile), as well as the deviations from the circularity (out-off-roundness) of the processed rings as indicators for the stability of the machining process.
Ključne besede:hard turning, surface roughness, roughness parameters, mathematical modelling, prediction modelling, design of experiments, DOE, kinematical-geometrical copying
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:16.11.2021
Datum sprejetja članka:03.03.2022
Datum objave:29.04.2022
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
Leto izida:2022
Št. strani:str. 75-88
Številčenje:Vol. 17, no. 1
PID:20.500.12556/DKUM-97192 Novo okno
UDK:658.5
COBISS.SI-ID:269101571 Novo okno
DOI:10.14743/apem2022.1.422 Novo okno
ISSN pri članku:1854-6250
Avtorske pravice:Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation, and DOI.
Datum objave v DKUM:23.02.2026
Število ogledov:137
Število prenosov:1
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Advances in production engineering & management
Skrajšan naslov:Adv produc engineer manag
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:matematično modeliranje, modeliranje


Zbirka

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  1. Advances in production engineering & management

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