EXPERIMENTAL INVESTIGATIONS AND MONITORING ELECTRICAL DISCHARGE MACHINING OF INCOLOY800
Keywords:
Electrical Discharge Machining, Process monitoring, Acoustic emissionAbstract
Precise, dynamic monitoring of spark gap is essential for stable repetition of the discharge during the machining of electrically conductive and difficult-to-machine materials. The process monitoring using acoustic sensor provides set of guidelines for study of electrical discharge machining process (EDM). In the present study, experimental investigations are carried out to monitor EDM process using Acoustic emission. Signal generated from machining area is collected using piezoelectric sensor and processed through data acquisition system. An Attempt has been made to find out effect of peak current, on time gap voltage on acoustic generation level, material removal rate and surface roughness of machining INCOLOY 800. Experimental results confirm that the proposed method provides information of spark column behavior and the machining performance of EDM process. Current found as the significant parameter affecting on machining quality and acoustic level generated. Statistical model developed using dataset can be used to predict the respective parameter. Acoustic level variation monitoring can be helpful for monitoring EDM process stability, surface quality and productivity.
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References
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