Abstract
The article presents the results of basic research focused on the decohesion phenomenon characteristics of selected abrasive grains using acoustic emission signal patterns. On the basis of the recorded signals, their detailed analysis in the time-frequency domain and their characteristic harmonic components were selected. The method developed for estimating the similarity of the harmonic sequences will be further used in a comparative analysis with the degree of similarity of acoustic emission signal patterns to determine the type of grain in the decohesion process inducted by an external force or stress field. The proposed technique of grain recognition can be used in grinding wheel wear diagnostic systems, especially in cases where it is significant for supervision or inspection of cracking and chipping abrasive grain vertices.
Highlights
Expanding our knowledge concerning basic phenomena in grinding processes occur mainly through research and analyses of the process of microcutting with a single microblade in the so-called scratch test
We presented the view that the presence of aluminum nitride in Aluminium oxynitride grains (AlON) grains affects their significantly higher hardness at high temperatures, in comparison with the most common grains based on Al2O3 [8, 9]
In order for the developed acoustic emission impulse patterns to be used in the monitoring process and in abrasive grain identification, spaces of all the alternative solutions were sought in order to select signal harmonics appropriate for a given grain type
Summary
Expanding our knowledge concerning basic phenomena in grinding processes occur mainly through research and analyses of the process of microcutting with a single microblade in the so-called scratch test. In order to separate the signals that come only from the abrasive grains, an attempt at analyzing the phenomenon of decohesion of grains in the single-axis compression method was made in the research work undertaken. The applied method of grain static loading only partially corresponds to the real conditions of the grain cracking processes in the dynamic process of contact of the active cutting apexes with the workpiece surface. On the other hand, it makes it possible to analyze the signals that come from only one source (the cracking abrasive grains), having eliminated many additional signals, allowing for precise identification of the elementary phenomena of the examined process
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The International Journal of Advanced Manufacturing Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
