Authors : S. Sundaram , P. Senthilkumar and N. Manoharan
Abstract: Condition monitoring of machining process denotes a control system that measures certain output variables, which are in turn used to control speed and or feed. The popular process variables that have been used to monitor the machining process are force, torque, cutting temperature, vibration amplitude and horsepower. However, this study deals with the application of the Acoustic Emission (AE) sensor for monitoring the machining processes. The application of this AE technique to machining processes started only two decades back and prior to that only very little work had been done in this field. Hence, a presentation has been made to highlight the works of various investigators from 1999-2005 using acoustic emission as a tool in monitoring machining process. The research done in monitoring machining processes using AE Techniques have been grouped into mainly 2 categories of monitoring Via, Turning, Milling and they are discussed accordingly. Some trails to take full advantage of the AE sensor for tool condition monitoring will be conducted relating to the sensor mounting and the signal processing. As a practical solution for the AE sensor mounting, for example, the coolant stream is successfully used as a medium for transmitting the AE wave in the case of milling processes monitoring. The sensor has mounted in the coolant pump nozzle l with other necessary drives so that the AE signal can be transmitted to the outside of the cutter by radio. By applying these methods, it has become possible to take the AE signal from the rotating tools. In terms of AE, signal processing for identifying an emerging technique for in process monitoring of various machining process.
S. Sundaram , P. Senthilkumar and N. Manoharan , 2007. Study of Acoustic Emission Sensor Techniques for Monitoring Machining Processes . Journal of Engineering and Applied Sciences, 2: 1581-1586.