@article{(Open Science Index):https://publications.waset.org/pdf/7109,
	  title     = {Analysis of Acoustic Emission Signal for the Detection of Defective Manufactures in Press Process},
	  author    = {Dong Hun Kim and  Won Kyu Lee and  Sok Won Kim},
	  country	= {},
	  institution	= {},
	  abstract     = {Small cracks or chips of a product appear very
frequently in the course of continuous production of an automatic
press process system. These phenomena become the cause of not only
defective product but also damage of a press mold. In order to solve
this problem AE system was introduced. AE system was expected to
be very effective to real time detection of the defective product and to
prevention of the damage of the press molds.
In this study, for pick and analysis of AE signals generated from the
press process, AE sensors/pre-amplifier/analysis and processing board
were used as frequently found in the other similar cases. For analysis
and processing the AE signals picked in real time from the good or bad
products, specialized software called cdm8 was used. As a result of
this work it was conformed that intensity and shape of the various AE
signals differ depending on the weight and thickness of metal sheet
and process type.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {3},
	  number    = {5},
	  year      = {2009},
	  pages     = {651 - 655},
	  ee        = {https://publications.waset.org/pdf/7109},
	  url   	= {https://publications.waset.org/vol/29},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 29, 2009},