Monitoring of turning variables using acoustic emission technique

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dc.contributor.authorDavis, Francis
dc.date.accessioned2011-11-25T00:37:11Z
dc.date.accessioned2023-04-19T07:06:06Z
dc.date.available2011-11-25T00:37:11Z
dc.date.available2023-04-19T07:06:06Z
dc.date.issued2003-11-25
dc.descriptionA thesis presented to the School of Graduate Studies, Kwame Nkrumah University of Science and Technology, Kumasi, in partial fulfillment for the award of Master of Philosophy Degree in Mechanical Engineering, 2003en_US
dc.description.abstractThis thesis work discusses the monitoring of turning variables such as cutting speed, feed and tool condition based on factorial experimental design method of acoustic emission signal responses. In cutting operations, acoustic emission provides useful information concerning the tool wear condition because of the fundamental differences between its source mechanisms in the rubbing friction on the wear land of the single point tool. In this study, effects of cutting speed, feed and tool condition on the acoustic emission signal are investigated using acoustic emission’s energy, amplitude, and frequency response and 2 factorial design for turning operation. Cutting tests were performed using high-speed steel under dry conditions. Calculated effects, standard errors at 95% confidence level, and models governing the acoustic emission response to the cutting conditions have been generated from the acoustic emission signal responses. The generated models revealed that acoustic energy response is affected by significant interactions between cutting speed and feed, and insignificant interactions between cutting speed and tool condition, while the acoustic amplitude response is affected by insignificant interactions among cutting speed, feed, and tool condition. These results suggest that tool wear can be detected by monitoring the variations of acoustic energy, and amplitude responses during machining processes.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/2015
dc.language.isoenen_US
dc.relation.ispartofseries3834;
dc.titleMonitoring of turning variables using acoustic emission techniqueen_US
dc.typeThesisen_US
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