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Technical Brief

Possibilities of the Generation of Hardened Steel Parts With Defined Topographic Characteristics of the Machined Surfaces

[+] Author and Article Information
Wit Grzesik

Faculty of Mechanical Engineering,
Opole University of Technology,
Mikolajczyka str. 5,
Opole 45-271, Poland
e-mail: w.grzesik@po.opole.pl

Krzysztof Żak

Faculty of Mechanical Engineering,
Opole University of Technology,
Mikolajczyka str. 5,
Opole 45-271, Poland
e-mail: k.zak@po.opole.pl

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received February 14, 2014; final manuscript received October 16, 2014; published online November 26, 2014. Assoc. Editor: Patrick Kwon.

J. Manuf. Sci. Eng 137(1), 014502 (Feb 01, 2015) (5 pages) Paper No: MANU-14-1063; doi: 10.1115/1.4028895 History: Received February 14, 2014; Revised October 16, 2014; Online November 26, 2014

The main objective of the comparison of precision hard cutting and abrasive processes in terms of the surface texture is to facilitate the decision whether to possibly replace grinding operations by hard turning with low feed rates. In this study, hard turning operations with Cubic Boron Nitride (CBN) cutting tools and grinding operations using electrocorundum Al2O3 and CBN wheels were performed in order to generate surfaces with the Sa roughness parameter of about 0.2 μm. 3D roughness parameters and the frequency, fractal and motif characteristics were analyzed.

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References

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Michigan Metrology, 2013, “3D Surface Roughness and Wear Measurements, Analysis and Inspection,” www.michmet.com

Figures

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Fig. 1

Surface profiles and textures produced by PHT (a) and grinding using electrocorundum (b) and CBN (c) wheels

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Fig. 2

Representative autocorrelation functions for turned (a) and ground (b) and (c) surfaces

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Fig. 3

3D BAC shapes (a) and ADF distributions (b) for HT (1) and ground (2 and 3) surfaces

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Fig. 4

Distribution of areal bearing parameters for turned and ground surfaces

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Fig. 5

Functional relationships between selected 3D V-parameters

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Fig. 6

Vectorized microvalleys networks for turned (a) and ground (b) and (c) surfaces. Three values describe the average depth, width, and density of microvalleys.

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Fig. 7

Motif graphs for PHT (a) and CBN ground (b) surfaces

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Fig. 8

Functional relationships between Sz (Rz) and Rx(R) motif parameters

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Fig. 9

Averaged PSD for turned (a) and ground (b) and (c) surfaces

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