TY - JFULL AU - Cem Karacal and Sohyung Cho and William Yu PY - 2009/10/ TI - A Novel Approach to Optimal Cutting Tool Replacement T2 - International Journal of Industrial and Manufacturing Engineering SP - 1031 EP - 1036 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/10221 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 33, 2009 N2 - In metal cutting industries, mathematical/statistical models are typically used to predict tool replacement time. These off-line methods usually result in less than optimum replacement time thereby either wasting resources or causing quality problems. The few online real-time methods proposed use indirect measurement techniques and are prone to similar errors. Our idea is based on identifying the optimal replacement time using an electronic nose to detect the airborne compounds released when the tool wear reaches to a chemical substrate doped into tool material during the fabrication. The study investigates the feasibility of the idea, possible doping materials and methods along with data stream mining techniques for detection and monitoring different phases of tool wear. ER -