@article{(Open Science Index):https://publications.waset.org/pdf/10221,
	  title     = {A Novel Approach to Optimal Cutting Tool Replacement},
	  author    = {Cem Karacal and  Sohyung Cho and  William Yu},
	  country	= {},
	  institution	= {},
	  abstract     = {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
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {3},
	  number    = {9},
	  year      = {2009},
	  pages     = {1032 - 1036},
	  ee        = {https://publications.waset.org/pdf/10221},
	  url   	= {https://publications.waset.org/vol/33},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 33, 2009},