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Detection and Characterization of Package Defects and Integrity Failure using Dynamic Scanning Infrared Thermography (DSIRT)
Author(s) -
Morris Scott A.
Publication year - 2016
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/1750-3841.13178
Subject(s) - thermography , materials science , infrared , bolometer , thermopile , optics , nondestructive testing , polyester , characterization (materials science) , calibration , optoelectronics , composite material , nanotechnology , detector , medicine , statistics , physics , mathematics , radiology
Abstract A dynamic scanning infrared thermography (DSIRT) system developed at the Univ. of Illinois Urbana‐Champaign (UIUC) Packaging Lab relies on variation in transient thermal artifacts to indicate defects, and offers the possibility of characterization of many types of materials and structures. These include newer polymer and laminate‐based structures for shelf‐stable foods that lack a reliable, nondestructive method for inspection, which is a continuing safety issue. Preliminary trials were conducted on a polyester/aluminum foil/polypropylene retort pouch laminate containing artificially‐induced failed seal and insulating inclusion defects ranging from 1 to 10 mm wide in the plane of the seal. The samples were placed in relative motion to a laterally positioned infrared laser, inducing heating through the plane of the seal. The emergent thermal artifact on the obverse side was sensed using either a bolometer camera or a thermopile sensor, with thermal anomalies indicating potential defects and the results of each sensors were compared. The bolometer camera detected defects to the limit of its measured optical resolution—approximately 1 mm at 20 cm—although the lower‐resolution thermopile sensors were only capable of detecting 5 mm defects even at closer distances of approximately 5 mm. In addition, a supplementary magnification system was fitted to the bolometer camera which increased resolution but reduced field of view and would require a much higher frame rate to be useful. Automatic processing of the image data rapidly detected the model defects and can lead to development of an automated inspection system. Much higher material throughput speeds are feasible using faster instruments, and the system is scalable.