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Abstract

Hard turning is a machining process that is widely used in the precision mechanical industry. The characterization of the functional surface texture by the ISO 13565 standard holds a key role in automotive mechanics. Until now, the impact of cutting conditions during hard turning operation on the bearing area curve parameters has not been studied (ISO 13565). The three parameters Rpk , Rk and Rvk illustrate the ability of the surface texture to resist friction. In this work, the main objective is to study the impact of cutting conditions (Vc, f and ap) of the hard turning on three parameters of the bearing area curve. The statistical study based on response surface methodology (RSM), analysis of variance (ANOVA) and quadratic regression were performed to model the three output parameters and optimize the input parameters. The experimental design used in this study is the Taguchi L25 orthogonal array. The results obtained show that the cutting speed has a greater effect on the bearing ratio curve (Rpk , Rk and Rvk ) parameters with a percentage contribution of 37.68%, 37.65% and 36.91%, respectively. The second significant parameter is the feed rate and the other parameter is significant only in relation to Rpk and Rk parameters.

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Authors and Affiliations

Amine Hamdi
1 2
Sidi Mohammed Merghache
2
Toufik Aliouane
1

  1. Laboratory of Applied Optics (LAO), Institute of Optics and Precision Mechanics, University Ferhat Abbas Setif 1, 19000, Algeria.
  2. Institute of Sciences & Technology, University Center of Tissemsilt, 38000, Algeria.
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Abstract

Waviness is a parameter used to complete information on the machined surface state. There is little scientific and technical information on the influence exerted by the cutting conditions and the workpiece material hardness on the values of some parameters that define the waviness of milled surface. No works have been identified to present such information for dry high-speed face milling applied to hard steel workpieces. A factorial experiment with four independent variables at three variation levels was planned to model the influence of milling speed, feed, cutting depth, and steel hardness on the total heights of the profile and surface waviness for dry high-speed face milling. Mathematical processing of experimental results was used to identify the power type function and empirical mathematical models. These models highlight the direction of variation and the intensity of influence exerted by the considered input factors on the values of two waviness parameters in the case of dry high-speed face milling of samples made of four hard steels. It has been observed that the increase in steel hardness increases the total heights of the profile and surface waviness. In the case of two types of steel, a good correlation was identified between the values of the total profile waviness height and the total surface waviness height, respectively, using the Pearson correlation coefficient.
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Authors and Affiliations

Irina Beşliu-Băncescu
1
Laurenţiu Slătineanu
2
Margareta Coteaţă
2

  1. Stefan cel Mare University of Suceava, Department of Mechanics and Technology, Universitatii Street, 13, 720229 Suceava, Romania
  2. Gheorghe Asachi Technical University of Iasi, Department of Machine Manufacturing Technology, D. Mangeron Blvd, 59A, 700050 Iasi, Romania

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