Application Of Industrial CT Technology In Testing Bathroom Products

With the gradual improvement of living standards, the demand for high-end bathroom products continues to increase. The product structure becomes more complex, which increases the difficulty of quality testing and invalidates traditional methods of testing. Thus, it is urgent to research new methods of product testing. Due to the high cost of industrial CT equipment, there are not companies which produce sanitary ware to use industrial CT device to test their products.This paper took a gold bath product of world-renowned brand Sherle Wagner for example to design a industrial CT system whose spatial resolution better than21p/mm to detect key parts of the product and researched the algorithm of image reconstruction. The main contents included:1. Based on material and maximum thickness of the product, a6MeV electron linear accelerator was appropriate. According to spatial resolution requirement of the system, the slit width of back collimator was0.3mm, the distance between electron linear accelerator and center of rotation was1509mm, and the distance between center of rotation and the detector was325mm.2. With detailed analysis and calculation, the combination of scintillator and photodiode was chosen as detector of the system. The material of scintillator was BGO, and the model of photodiode was S5627-01which produced by Hamamatsu. The number of detector units was26, distance8mm, and detector units were arranged a circle arc, whose Center of the circle was the focus of electron linear accelerator; The length of scintillator was12mm, the width0.3mm, the height0.25mm. The mechanical scanning system was functionally designed and the scanning mode was identified as TR. The product needed translational movement whose Step length was0.2mm, step rotational movement whose angle was6.5°and Lifting movement whose Step length was0.25mm. Data acquisition systems, computer systems and auxiliary systems of the industrial CT systems were introduced simply.3. Computer simulation was used to verify the back projection algorithm and iterative algorithm. The result of image reconstruction of back projection algorithm was poor, spatial resolution was so low that it could not meet the requirement of system. Iterative algorithm made the amount of data which reconstructed the image reduce from the original1375200to194400, the time of each shift was reduced from the original0.1273min to0.018min, which was shorten to 14.14%of the original time. Amount of data of first iterative algorithm and second iterative algorithm was equal, but the result of image reconstruction of first iterative algorithm is poor, which could not meet the spatial resolution of system. However, the second iterative algorithm could meet the requirements of system completely.