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Title: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)
Authors:ID Tomov, Mite (Author)
ID Gečevska, Valentina (Author)
ID Vasileska, E. (Author)
Files:.pdf APEM17-1_075-088.pdf (4,16 MB)
MD5: CF2C6722B70CF0243808922B5898FE69
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract: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.
Keywords:hard turning, surface roughness, roughness parameters, mathematical modelling, prediction modelling, design of experiments, DOE, kinematical-geometrical copying
Publication status:Published
Publication version:Version of Record
Submitted for review:16.11.2021
Article acceptance date:03.03.2022
Publication date:29.04.2022
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
Year of publishing:2022
Number of pages:str. 75-88
Numbering:Vol. 17, no. 1
PID:20.500.12556/DKUM-97192 New window
UDC:658.5
ISSN on article:1854-6250
COBISS.SI-ID:269101571 New window
DOI:10.14743/apem2022.1.422 New window
Copyright: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.
Publication date in DKUM:23.02.2026
Views:133
Downloads:1
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Categories:Misc.
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Record is a part of a journal

Title:Advances in production engineering & management
Shortened title:Adv produc engineer manag
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:matematično modeliranje, modeliranje


Collection

This document is a part of these collections:
  1. Advances in production engineering & management

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