Modeling of machined surface during the grinding of noncircular end abrasive tool
Автор: Kozlov A.A., Kozlov A.M., Vasilenko Yu.V.
Рубрика: Технология
Статья в выпуске: 3 т.16, 2016 года.
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The surface topography has a significant influence on its operational performance, in particular endurance. The highest wear resistance has the surface with criss-cross type lines of roughness. To obtain such surfaces on the cylindrical surface developed abrasive tool in the form of a disc with non-circular end working surface. Such a tool has wide capabilities in forming on a cylindrical surface microrelief of various kinds. However, the prediction of roughness, the resulting complex process to manage them, is a task that requires separate consideration. The article provides an overview of the problems of predicting the roughness of the machined surface during the grinding of noncircular end tool. The task of developing a mathema-tical model for predicting roughness are the main features of the process considered in the simulation. The developed model is based on the submission of individual abrasive grains of random shape by a set of individual cutting elements having different contact conditions with the surface. For each point shall be determined by cutting, deforming, and not in contact with the surface of the workpiece. Thus is formed a scratch from single grains, and the totality of these forms of scratching the treated surface with intersecting direction type irregularities. The model allows to predict the roughness parameters of the machined surface and to determine the characteristics of contact with the mating surface. For checking the adequacy of the developed model, a series of experiments carried out in industrial conditions on the example of rolls of sheet rolling mills. The experiment showed that the wear resistance of the surface-treated mechanical grinding higher by 30-40% compared than with processed by traditional technology.
Modeling, abrasive tools, non-circular face working surface, lay
Короткий адрес: https://sciup.org/147151728
IDR: 147151728 | DOI: 10.14529/engin160307