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Waviness at dry high-speed face milling of some hard steels

Beşliu-Băncescu Irina, Slătineanu Laurenţiu, Coteaţă Margareta

Metrology and Measurement Systems

2021

Vol. 28, nr 4

735--749

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.

Prediction of surface roughness of end milling for cycloidal gears based on orthogonal tests

Luo S. M., Liao L. X., Mo J. Y.

Engineering Transactions

2018

Vol. 66, iss. 3

339--352

End milling method is applied to machining of cycloidal gears to improve the cutting quality and efficiency. The influence of milling parameters on the surface roughness is investigated based upon orthogonal tests with the four factors and four levels, as well as analysis of range and variance. A model to predict the surface roughness is built up on basis of the probability statistics and multivariate nonlinear regression analysis. Significance tests are conducted on the prediction model, and the interactive effect of these parameters on the surface roughness is figured out so as to propose optimization schemes. The results show that the shaft inclination angle has the biggest impact on the surface roughness, followed by the feed per tooth, the radial feed and the spindle speed. The prediction model of surface roughness is proved to have high prediction accuracy. This study aims to provide references for the improvement of machining quality of cycloidal gears and optimization of milling parameters.

Mechanical milling of aluminum powder using planetary ball milling process

Ramezan M, Neitzert T

Journal of Achievements in Materials and Manufacturing Engineering

2012

Vol. 55, nr 2

790--798

Mechanical alloying has recently attracted considerable attention as researchers strive to enhance nanocomposite properties and extend their utility. The process can be performed at room temperature and homogeneous nanocomposite powders can be produced. In this paper, we investigated the effect of different ball milling parameters and operating conditions (milling time, ball size, processing control agent (PCA) and speed) in mechanical alloying of aluminum powder to achieve particle size reduction with less contamination. Two types of PCA, i.e. stearic acid and methanol have been used and microstructure evolutions at different operating conditions were studied. It was shown that the optimized milling parameters for aluminium composite are 100 stainless steel ball (10 mm), 200 rpm rotation speed with direction reversal and 1 min pause time after every 15 min running time, under argon gas for 30 hr of milling.