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In-process Mornitoring Of The Conditioning Process Of Diamond Grinding Wheels Through Acoustic Emission

Posted on:2015-10-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y C PanFull Text:PDF
GTID:2181330422991157Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
During the recent years, many fields have had increasing demand for opticalelements, such as the defense industry, optical electrical communication, lasertechnology. In order to enhance the production efficiency of optical glass, my researchgroup members had proposed a production chain consisting of rough grinding bycoarse-grained grinding wheels and fine grinding by fine-grained grinding wheels.However, when can a coarse-grained electroplated diamond grinding wheel be truedwell enough for grinding optical glass? How could we decide whether a fine-grainedresin bonded diamond grinding wheel is worn? So, it’s necessary to find a monitoringmethod for the truing process of the coarse-grained electroplated diamond grindingwheels and the grinding process of the fine-grained resin bonded diamond grindingwheels.Firstly, a method of on-machine measurement of grinding wheels’3D surfacetopography was developed in this paper. The active grain’s specific protrusion volumeand bearing ration were calculated to evaluate the grinding performance of the coarse-grained electroplated diamond grinding wheels quantitatively. The two parameters couldbe used to assess its grinding performance during the grinding wheel’s truing process.Besides, the3D surface topography and acoustic emission (AE) signal weremeasured during coarse-grained grinding wheel’s different truing stages. Thetopography feature parameters and AE feature parameters was analyzed to find therelationship between them. Then a method for monitoring the truing process of thecoarse-grained grinding wheels based on AE was proposed.Moreover, as for the fine grinding process of optical glass using fine-grained resinbonded diamond grinding wheels, the AE signal was collected when the grinding wheelwas in different degree of wear. Discrete wavelet packet decomposition was used toextract the feature parameters relating to the grinding wheels’ wear degree.Finally, LabVIEW was used to compile a program achieving real-time acquisitionand analysis of the raw AE signal. An in-process AE monitoring system for coarse-grained grinding wheel’s truing process and fine-grained resin bonded diamondgrinding wheels’ wear degree was developed successfully. This monitoring systemcould provide stable and accurate monitoring for the grinding process of optical glassand enhance the production efficiency.
Keywords/Search Tags:coarse-grained diamond wheel, 3D surface topography, wheel wear, in-process monitoring, acoustic emission
PDF Full Text Request
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