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Formation of Surface Topography During Turning of AISI 1045 Steel Considering the Type of Cutting Edge Coating

Szczotkarz Natalia, Maruda Radosław W., Dębowski Daniel, Leksycki Kamil, Wojciechowski Szymon, Khanna Navneet, Królczyk Grzegorz M.

Advances in Science and Technology. Research Journal

2021

Vol. 15, no 4

253--266

The paper presents evaluation of the surface topography obtained after turning of AISI 1045 steel with the use of cemented carbide tools diversified in terms of applied titanium-based coatings. During the research, three types of coatings deposited with the PVD method on a P25 sintered carbide insert were compared: nitride-titanium TiN, nitride-aluminum-titanium TiAlN and carbon-titanium TiC in a wide range of variable cutting speeds 125 - 325 m/min and variable feeds 0.05 - 0.25 mm/rev. The quality of the machined surface was assessed on the Sensofar S neox System optical profile meter using the confocal method. The paper presents the results of 3D parameters, contour maps, isometric views and material ratio curves. The surface topography analysis showed that for the TiAlN coated insert, lower surface roughness parameters were observed in the range of lower cutting speeds and higher feeds, while for higher cutting speeds, lower values of the selected 3D parameters were found for the insert with TiC coating. For the insert with TiC coating, the most even distribution of the valleys and ridges of the machined surface roughness was also observed. The research results determined the range of cutting parameters that allow the selection of the appropriate type of titanium-based coating when machining AISI 1045 steel.

Relationship between surface roughness and chip morphology when turning hardened steel

Abidi Youcef

Production Engineering Archives

2020

Vol. 26, Iss. 3

92--98

Hard machining is a process which has become highly recommended in manufacturing industry to replace grinding and perform production. The important technological parameters that determine this process are tool wear, machined surface roughness, cutting force and morphology of the removed chip. In this work, an attempt has been made to analyse the morphology and form of chip removed during turning of hardened steel AISI 1045 (40HRC) with mixed ceramic tool type CC650. Using a Taguchi plan L9, whose factors are cutting speed and feed rate with three levels for each. Macroscopic and microscopic results of chip morphology were correlated with these two cutting parameters additional to surface roughness. Sufficient experimental results were obtained using the mixed ceramic tool when turning of hardened steel AISI 1045 (40HRC) at high cutting speeds. Roughness of machined surface confirmed that it is influenced by feed rate. Chips show a sawtooth shape for all combinations of the experimental plan used. The chip form changed with cutting parameters variation and given an important indicator of suraface quality for industriel. Having the indicators on the surface quality from simple control of chip without stopping machining give an important advantage in order to maximize production and reduce costs.

Modelling the Peak Cutting Temperature During High-Speed Machining of AISI 1045 Steel

Burns T. J., Mates S. P., Rhorer R. L., Whitenton E. P., Basak D.

Engineering Transactions

2012

Vol. 60, iss. 2

113-124

This paper presents new experimental data on AISI 1045 steel from the NIST pulse-heated Kolsky Bar Laboratory. The material is shown to exhibit a stifier response to compressive loading when it has been rapidly preheated, than it does when it has been heated using a slower preheating method, to a testing temperature that is below the eutectoid temperature. It is argued, using a simple model for heat generation in the workpiece and the tool during machining, due to Tlusty, that this work has important implications for the modelling of highspeed machining operations. Based on the experimental data, a modification is recommended of the well-known Johnson-Cook constitutive model of Jaspers and Dautzenberg for this material, in order to achieve improved predictions of the peak cutting temperature in machining.