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Title: Development of a Test System to Make Circularity Measurements of Rubber Bushing After Stress Relief br
Authors: Özel, Muhammed Abdullah
Baysal, Selim Sefa
Sungur, Cemil
Keywords: bushing
deep learning
image processing
quality control
Issue Date: 2022
Publisher: Univ North
Abstract: Rubber metal bushings are one of the most important parts of the suspension system. These parts are specially designed to minimize the vibrations and noises that vehicles are exposed to while driving. In this study, it is aimed to measure the circularity of rubber metal bushings after stress relief. A modular design is provided according to the tolerance values of the bushings in the inventory. Simultaneously with deep learning and image processing algorithms, laser circularity measurements are verified with reference to bush circularity and deformation points are determined. The detected deformation is transferred to the HMI screen. With this study, it was ensured that the circularity errors in the rubber metal bushings were taken under control and the problems that may be encountered after the production were eliminated, a more sensitive solution was provided, and a quality production and accurate results were obtained
ISSN: 1846-6168
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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