@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}, }