Abstract
Tool condition monitoring (TCM) has become indispensable to meet the increasing demand of unmanned machining for the modern automatic manufacturing. Sensor-based TCM is the latest addition to the TCM techniques. This chapter presents a review of some widely used TCM techniques based on some evaluation parameters like sensor type, data processing method, application, effectiveness, limitation, and setback. This review shows that different sensing techniques with pertinent data analyzing methods are more significant for any particular type of application. Recommendations are also made based on the articles reviewed as a direction for future research in TCM.
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