Open AccessDevelopment of Delaminate Inspection by Using Sound Sensor and Pattern Recognition Technique
Author(s) -
Napaphan Sukprasert,
Somkiat Tangjitsitcharoen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1487/1/012036
Subject(s) - manufacturing process , frequency domain , point (geometry) , process (computing) , materials science , acoustics , computer science , structural engineering , composite material , engineering , computer vision , geometry , mathematics , physics , operating system
Windsurf manufacturing and inspection process have high influence for product quality. Recently windsurf manufacturer faced high nonconformity cost with delaminate problem. Current inspection process is performed by inspector skill which depends on the experience. The inspection method is proposed by using sound sensor and applying the Fast Fourier Transform to monitor the ranges of laminate and delaminate frequency. The pattern recognition technique is purposed to classify noise frequency in order to identify the laminate windsurf from the delaminate ones. This research investigates the delaminate among the polyvinyl chloride sheet, the biaxial carbon reinforced fabric and the fiber glass reinforced fabric. The area of laminate frequency in frequency domain shows the laminate point has high power spectrum density than the one from the delaminate point. The algorithm to detect the delaminate has been developed and proved by real windsurf. It’s proved that the method proposed can be identified the delaminate windsurf.