Экспериментальное исследование взаимосвязи виброакустических параметров процесса шлифования с показателями макронеровности обработанной поверхности

Abstract

Introduction. To assess the current state of the technological system (TS) during grinding, it is preferable to use indirect criteria. Such approaches, in contrast to direct measurement methods, can be carried out without interrupting the production process. The main parameters used in the indirect assessment of the state of the cutting tool are the state of the workpiece (before and after processing), thermal and electrical characteristics of the cutting zone, vibroacoustic vibrations of the process, and force measurements. The work is devoted to the study of the acoustic parameters of grinding as a sufficiently informative and least resource-intensive characteristic. The relevance of the development of methods for assessing the state of the vehicle based on sound and topographic characteristics has many aspects, the main of which are applicability in grinding control, predicting the state of the cutting tool and planning the operations of the technological process. The aim of the work is to develop a mathematical model of the dependence of the vibroacoustic parameters of the external circular plunge-cut grinding process on the macro-roughness of the polished sample. The development of such a model is a necessary step in the design of a methodology for predicting the state of a tool. Accordingly, the subject of work is presented by two parameters simultaneously – the sound level arising in the process of grinding and the deviation of the surface shape of the ground images from cylindricality. The research methods used to achieve the designated aim were following: an experiment to study the sound phenomena accompanying round external plunge-cut grinding; measurement of macro-roughness of the surface of the samples, subjected to processing, using a coordinate measuring machine; correlation and regression analysis to obtain mathematical dependencies. Results and discussion. Two particular multiple linear regression models are obtained that describe the effect of the infeed rate and the operating time of the grinding wheel on the sound level during grinding and on deviations from the cylindricality of the processed samples. On the basis of particulars, a general model is developed that establishes the relationship between the sound characteristic and the macro-roughness index of the treated surface. It is shown that the sound characteristics (for example, the sound level) can be used as an indirect indicator of the current state of the vehicle, which makes it possible to assess the level of vibrations and, accordingly, to predict the quality of products.