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During vehicle development process, dimensional variation simulation has been applied to evaluate fit performance of build variation widely, including front end area, rear end area, interior and chassis. Both product and process variation are simulated based on rigid assumptions in traditional variation simulation model, but many components are not rigid and deformed after assembled on physical vehicle, which make the variation simulation model result not correlate with physical build well. Deck lid is kinetic and easy to be elastic deformed that is caused by torque rod and seal force, which would affect deck lid surround fit, especially for deck lid to body side outer flush, but these situations are not considered in traditional variation simulation model. In order to improve the correlation between dimensional variation simulation and physical vehicle variation, in this paper, deck lid deformation is considered in new variation simulation model. Compared with traditional method, the correlation between new variation simulation model and build variation on physical vehicle improved by 17%. This calculation method and result are closer to physical build than traditional variation simulation, limit of this study is seal margin variation, striker and bumper adjustment are not considered in FEA model. In future study, need to improve the correlation by considering all these factors. This study could be applied to identify actual vehicle fit risk in product development phase, it could also save tooling change cost in build period.

Robots are being proposed as human substitutes for scraping residual solid rocket propellant from double stirring blades after the mixing. For their navigation, a pose measurement algorithm based on a monocular camera mounted on them is proposed in this study. First, the pose parameters for the blade location are redefined according to the movement and geometry characteristics. After determining one feature point and the cylindrical geometric features of one blade, the pose parameters can be calculated by using the geometric model of the features in the camera perspective projection. Experimental results show that the measurement errors of this system are below 1.5 mm and 1.7 ° for position and attitude angle, respectively, meeting its application requirements. The proposed method, with simple mathematics, can be used to determine the pose of blades in harsh environments, which is suitable for robot-related engineering applications, and also provide references for similar objects.

To explore the effect of the electrical degradation of phenolic compounds with TiO2 under different conditions. The effects of pH, electrode distance, cell voltage, concentration of electrolyte Na2SO4 and the initial concentration of phenol were studied for the removal efficiency of phenol. The experiment measured that reacted for 60 min under the conditions that the original solution phenol content is 10 mg/l, the voltage is 15 V, the electrode distance is 1 cm, the electrolyte Na2SO4 is 0.2 mol/l, the removal efficiency of the phenol reached 99%.