Paper Title
Detection of Tool Wear in Drilling Process Using Vibration Signal Analysis
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.