Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 17, Pages: 1-12
R. Prabu1 and A. Manivannan2
1Department of Mechanical Engineering, St. Joseph’s College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai – 600119, Tamil Nadu, India; [email protected] 2Department of Mechanical, Krishnasamy College of Engineering and Technology, Nellikuppam Main Road, S. Kumarapuram, Cuddalore – 607109, Tamil Nadu, India; [email protected]
Objectives: The condition monitoring was done during the machining of Stainless Steel 316 Grade using a PCB microphone with a view to related the measured Sound Signal with the nozzle wear obtained. Methods/Statistical Analysis: It is done by using a Data Acquisition Device is used to connect the Computer with the microphone to analyze the signal using LAB VIEW Software. Also a Sensor signal conditioner is attached to the microphone to boost the sound signal. The machining is done by changing the abrasive flow rate and pressure parameters and the corresponding sound signal is recorded Findings: Regression analysis was carried out using Minitab 17 software and results showed that abrasive flow rate has more influence on nozzle wear rate. Regression equations were also developed for each nozzle hour based on process parameters. Also it was observed that the nozzle exit diameter increases with increase in nozzle life time. Application/Improvements: The future aspects are to develop a generalized equation for the nozzle wear rate based on the process parameters to develop a closed loop system.
Keywords: Monitoring, Nozzle Wear, Steel 316 Grade, Sound Signal
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