Title
Empirijsko modeliranje otpora rezanja kod struganja primenom dimenzionalne analize
Creator
Stanojković, Jelena, 1989-
CONOR:
22717031
Copyright date
2025
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
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Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 09.06.2026.
Other responsibilities
University
Univerzitet u Nišu
Faculty
Mašinski fakultet
Group
Katedra za proizvodno-informacione tehnologije i menadžment
Alternative title
Empirical modelling of cutting forces in turning using dimensional analysis
Publisher
[J. N. Stanojković]
Format
[23], 173 str.
description
Biografija autora: str. 173-314.
Bibliografija: str. 152-169.
description
Production systems and technologies
Abstract (en)
Turning is one of the most widespread machining processes in the industry,
because it enables high productivity and machining quality at acceptable costs,
which makes it necessary in the production of various machine parts. Despite the
long tradition of studying machining, in industrial practice there is still a need for
reliable prediction models that can describe the change of cutting force under
different machining conditions. The reason lies in the complex nature of the
interaction between the cutting tool and the workpiece, which depends on a large
number of factors. In this context, the prediction of cutting force during turning is
not only a mathematical idealization of the process, but it is of essential
importance for industrial application in modern production, because it enables the
determination of the relevant cutting regime, the selection of fixtures, the
assessment of workpiece deflection, the monitoring of the turning process, the
analysis of the materials’ machinability, as well as the optimization of the process
itself. The research within the doctoral dissertation is focused on the analysis of
the possibility of integrating dimensional analysis and low-resolution
experimental designs in order to develop adaptable empirical models for the
prediction of cutting force in dry external longitudinal turning of six steels of
different quality and machinability. Parameters related to workpiece material,
cutting regimes and cutting tool geometry were taken into account. The aim is to
propose an efficient approach to develop cutting force prediction models of
acceptable accuracy that would be amenable to practical application in industry.
The validation of the developed models, which was carried out by the realization
of experimental trials outside and within the included experimental hyper-space,
showed that the proposed models have good predictive performances.
Authors Key words
struganje, dimenzionalna analiza, empirijsko modeliranje, otpori rezanja,
obrada rezanjem, obradljivost
Authors Key words
turning, dimensional analysis, empirical modeling, cutting force, machining,
machinability
Classification
621.7.014.2:621.941-047.44(043.3)
Subject
T120, T130
Type
Tekst
Abstract (en)
Turning is one of the most widespread machining processes in the industry,
because it enables high productivity and machining quality at acceptable costs,
which makes it necessary in the production of various machine parts. Despite the
long tradition of studying machining, in industrial practice there is still a need for
reliable prediction models that can describe the change of cutting force under
different machining conditions. The reason lies in the complex nature of the
interaction between the cutting tool and the workpiece, which depends on a large
number of factors. In this context, the prediction of cutting force during turning is
not only a mathematical idealization of the process, but it is of essential
importance for industrial application in modern production, because it enables the
determination of the relevant cutting regime, the selection of fixtures, the
assessment of workpiece deflection, the monitoring of the turning process, the
analysis of the materials’ machinability, as well as the optimization of the process
itself. The research within the doctoral dissertation is focused on the analysis of
the possibility of integrating dimensional analysis and low-resolution
experimental designs in order to develop adaptable empirical models for the
prediction of cutting force in dry external longitudinal turning of six steels of
different quality and machinability. Parameters related to workpiece material,
cutting regimes and cutting tool geometry were taken into account. The aim is to
propose an efficient approach to develop cutting force prediction models of
acceptable accuracy that would be amenable to practical application in industry.
The validation of the developed models, which was carried out by the realization
of experimental trials outside and within the included experimental hyper-space,
showed that the proposed models have good predictive performances.
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