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Abstract

In this paper, an analysis of various factors affecting machined surface texture is presented. The investigation was focused on ball end mill inclination against the work piece (defined by surface inclination angle a. Surface roughness was investigated in a 3D array, and measurements were conducted parallel to the feed motion direction. The analysis of machined surface irregularities as a function of frequency (wavelength A), on the basis of the Power Density Spectrum - PDS was also carried out. This kind of analysis is aimed at valuation of primary factors influencing surface roughness generation as well as its randomness. Subsequently, a surface roughness model including cutter displacements was developed. It was found that plain cutting with ball end mill (surface inclination angle a= 0°) is unfavorable from the point of view of surface roughness, because in cutter’s axis the cutting speed vc ~ 0 m/min. This means that a cutting process does not occur, whereas on the machined surface some characteristics marks can be found. These marks do not appear in case of a* 0°, because the cutting speed vc * 0 on the fill I length of the active cutting edge and as a result, the machined surface texture is more homogenous. Surface roughness parameters determined on the basis of the model including cutter displacements are closer to experimental data for cases with inclination angles a* 0°, in comparison with those determined for plain cutting (a= 0°). It is probably caused by higher contribution in surface irregularities generation of plastic and elastic deformations cumulated near the cutter’s free end than kinematic and geometric parameters, as well as cutter displacements.

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Authors and Affiliations

Michał Wieczorowski
Szymon Wojciechowski
Paweł Twardowski
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Abstract

The work presented here, concentrates on experimental surface roughness analysis in the milling of hardened steel using a monolithic torus mill. Machined surface roughness with respect to milling process dynamics has been investigated. The surface roughness model including cutter displacements has been developed. Cutting forces and cutter displacements (vibrations) were measured in order to estimate their quantitative influence on Ra and Rz parameters. The cutter displacements were measured online using a scanning 3D laser vibrometer. The influence of cutting speed vc on surface roughness parameters (Ra, Rz) was also studied. The research revealed that real surface roughness parameters are significantly higher than those calculated on the basis of a kinematic-geometric basic model, and their values are strongly dependent on dynamic cutter displacements.

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Authors and Affiliations

Szymon Wojciechowski
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Abstract

In this paper, the basic cutting characteristics such as cutting forces, cutting power and its distribution, specific cutting energies were determined taking into account variable tool corner radius ranging from 400 to 1200 μm and constant cutting parameters typical for hard turning of a hardened 41Cr4 alloy steel of 55 ± 1 HRC hardness. Finish turning operations were performed using chamfered CBN tools. Moreover, selected roughness profiles produced for different tool corner radius were compared and appropriate surface roughness parameters were measured. The measured values of Ra and Rz roughness parameters are compared with their theoretical values and relevant material distribution curves and bearing parameters are presented.

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Bibliography

[1] J.P. Davim. Machining of Hard Materials. Springer, London, 2011.
[2] W. Grzesik. Advanced Machining Processes of Metallic Materials. Elsevier Science, 2008.
[3] W. Grzesik. Prediction of the functional performance of machined components based on surface topography: State of the art. Journal of Materials Engineering and Performance, 25(10):4460–4468, 2016. doi: 10.1007/s11665-016-2293-z.
[4] P. Nieslony, G.M. Krolczyk, K. Zak, R.W. Maruda, and S. Legutko. Comparative assessment of the mechanical and electromagnetic surfaces of explosively clad Ti–steel plates after drilling process. Precision Engineering, 47:104–110, Jan. 2017. doi: 10.1016/j.precisioneng.2016.07.011.
[5] R. Chudy and W. Grzesik. Comparison of power and energy consumption for hard turning and burnishing operations of 41CR4 steel. Journal of Machine Engineering, 15, 2015.
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[8] W. Grzesik, B. Denkena, K. Zak, T. Grove, and B. Bergmann. Energy consumption characterization in precision hard machining using CBN cutting tools. The International Journal of Advanced Manufacturing Technology, 85(9):2839–2845, 2016. doi: 10.1007/s00170-015-8091-1.
[9] Sandvik Coromant. Machining Handbook. www.sandvik.coromant.com.
[10] W. Grzesik and K. Zak. Producing high quality hardened parts using sequential hard turning and ball burnishing operations. Precision Engineering, 37(4):849–855, 2013. doi: 10.1016/j.precisioneng.2013.05.001.
[11] W. Grzesik, J. Rech, and K. Zak. Characterization of surface textures generated on hardened steel parts in high-precision machining operations. The International Journal of Advanced Manufacturing Technology, 78(9-12):2049–2056, 2015. doi: 10.1007/s00170-015-6800-4.
[12] H.A. Kishawy, A. Haglund, and M. Balazinski. Modelling of material side flow in hard turning. CIRP Annals – Manufacturing Technology, 55(1):85–88, 2006. doi: 10.1016/S0007-8506(07)60372-2.
[13] W. Grzesik. Generation and modelling of surface roughness in machining using geometrically defined cutting tools. In J.P. Davim, editor, Metal Cutting, chapter 6. Nova Science Publishers, New York, 2010.
[14] N. Schaal, F. Kuster, and K. Wegener. Springback in metal cutting with high cutting speeds. Procedia CIRP, 31:24–28, 2015. doi: 10.1016/j.procir.2015.03.065.
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Authors and Affiliations

Krzysztof Żak
1

  1. Faculty of Mechanical Engineering, Opole University of Technology, Poland

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