Optimization of the Wet Drawing Process According to the Safety Factor Criterion.

Autor: Goloviznin, S. M., Petrov, I. M., Ivantsov, A. B.
Zdroj: Steel in Translation; Sep2022, Vol. 52 Issue 9, p817-821, 5p
Abstrakt: The article is a continuation of the previous authors' works in the framework of the wet drawing study. The process of wet superthin and extra-thinest drawing of brass-plated steel wire is considered in order to increase the wear resistance of dies. The analysis of various types of drawing tools (hard-alloy dies, synthetic diamond dies, natural diamond dies) was carried out for the relevance of its application for drawing wire of small diameters. Classification of the components of operational durability of the drawing tool is given. A description of the research methodology is given, including the procedure and conditions for conducting measurements, the industrial equipment used to obtain the initial data, as well as the type of drawbench (drawing machine). The paper presents a comparative analysis of the data obtained with the results of studies by other authors obtained for a similar drawing tool. The main characteristics of the wear resistance distribution (asymmetry, kurtosis, coefficient of variation) are calculated. Based on the statistical analysis of an array of experimental data for a sample of more than 500 samples, a high correlation of the wear resistance of dies with the criterion of the safety coefficient and a weak correlation with the criteria of the drawing force and stress were revealed. It is shown that the optimal, i.e., the highest and most stable results on the drawing tool wear resistance are achieved with the values of the safety coefficient in the range from 1.9 to 2.5. A formula is proposed for determining the value of the safety factor depending on the wire diameter, which provides the maximum values of tool wear resistance along the drawing schedule. The results obtained are recommended for use in the design of new wet drawing schedules using synthetic diamond dies. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index