Determination of TPO Paint Bake Time and Temperature Using Mathematical Morphology and Neural Networks
نویسندگان
چکیده
This paper discusses a new automated image analysis technique for monitoring and inspecting changes in Thermo-Plastic Olefine (TPO) bumper surfaces. This new technique produces excellent performance and is appropriate for on-line production monitoring as well as laboratory analysis. The objective of this work was to develop an accurate method for determining the paint bake time and temperature that parts within 10° F and 20' intervals had been treated. This task was accomplished using mathematical morphology to extract differentiating features from samples of TPO collected at three magnifications and sending these feature vectors to a back propagation neural network for classification.
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تاریخ انتشار 2007