As per the requirements, different types of sensor may be used to detect tool wear. We study the relationship of cutting conditions with acoustic emission (AE) sensors and analyze what is the strain energy released during the cutting process that could be employed to monitor the variations that tool-wear generates during this process. We employ the AE in the development of a tool-wear monitoring system as AE signals contains complicated information from the cutting process, although AE signal extraction is very difficult process.