DOIONLINE 
DOIONLINE Publish In |
International Journal of Mechanical and Production Engineering (IJMPE)-IJMPE |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-2 ( Feb, 2017 ) | |||||||||
Paper Title |
Detection of Tool Wear in Drilling Process Using Vibration Signal Analysis | |||||||||
Author Name |
M. Amarnath, P. Ramakrishna, H. Challadurai | |||||||||
Affilition |
Tribology and Machine Dynamics Laboratory, Department of Mechanical Engineering, Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur 482001, India | |||||||||
Pages |
136-138 | |||||||||
Abstract |
Drilling is a machining process where a multi-point tool is used to produce desired holes by removing unwanted material. In this process, the contact between the cutting tool and the work piece generates forces which in turn create torques on the spindle and drive motors. Excessive forces and torques can cause tool failure, spindle stall, undesired structural deflections etc. The vibration levels, cutting forces, torques and power directly affect the other process parameters viz. machinating accuracy, tool wear and chip morphology.Therefore, these parameters are often monitored and regulated due to which productivity is maximized. This paper addresses the results of experimental investigations carried out to monitor drill wear and its corresponding effects on parameters such as vibrations levels, hole accuracy, chip morphology etc. during drilling of AISI 1040 steel. Results highlight the importance of vibration signal analysis techniques to assess tool wear severity. | |||||||||
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