Mathematical Modeling of the Surface Roughness Parameters Rp and Rv in Hard Turning of Steel C55(DIN) Using Mixed Ceramics MC 2 (AI2O3+TiC)

Shabani, Mevludin and Simeonov, Simeon and Pira, Bujar and Osterglavva, Naim (2021) Mathematical Modeling of the Surface Roughness Parameters Rp and Rv in Hard Turning of Steel C55(DIN) Using Mixed Ceramics MC 2 (AI2O3+TiC). International Journal of Scientific & Engineering Research, 12 (3). pp. 502-509. ISSN 2229-5518

Text Mathematical-modelling-of-the-surface-roughness-parameters-Rp-and-Rv-in-hard-turning-of-steel-C-55-DIN-using-mixed-ceramics-MC-2-Al2O3-Ti-C .pdf - Accepted Version Download (1MB)

Abstract

- As the techniques for measuring the roughness profile and the roughness parameters changed, as well as the software capabilities for the
realization of the DOE (Design of Experiments), so did the approach and techniques for predicting and developing mathematical models for the
roughness parameters. The past has shown that the works or contribution of each new approach in this direction was recognized by the professional
community and found direct practical applicability in academic and industrial circles. Other than dealing with the most researched roughness parameters
Ra (Ra - the arithmetic mean of the absolute values of the roughness profile ordinates) and Rz (the arithmetic mean value of the single roughness
depth Rzi of consecutive sampling lengths), this paper investigates the roughness profile, through inclusion of the roughness parameters Rp (maximum
peak height of the roughness profile within one sampling and Rv (maximum valley depth of the roughness profile within one sampling), that are directly
measurable and related to the position of the midline of the roughness profile. The position of the midline of the roughness profile is in direct function
with the shape of the roughness profile with the ultimate goal of obtaining empirical results which are expected to have practical applicability; their
application in the metal processing industry can create conditions for process optimization and gaining economic benefits from their application.

Item Type:	Article
Subjects:	Engineering and Technology > Mechanical engineering
Divisions:	Faculty of Mechanical Engineering
Depositing User:	Simeon Simeonov
Date Deposited:	02 Apr 2021 06:35
Last Modified:	02 Apr 2021 06:35
URI:	https://eprints.ugd.edu.mk/id/eprint/27972

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