In order to realize the high-accuracy prediction of steel plate camber and the accurate control of roll gap tilt for straightness, a fusion method with mechanism model and machine learning of the strip at the exit side is investigated. Based on the basic equation of transverse asymmetric rolling, a mathematical model of plate camber curvature radius of the exit side and entry side is derived. Meanwhile, a machine vision method for camber measuring is adopted in which the subpixel coordinates of the rolled piece edges can be obtained, and the size of the plan view of rolled piece can also be settled indirectly to carry out feedback control on the camber defect. Tilt value of the roll gap can be controlled in advance to avoid the occurrence of camber which predicted with high accuracy. Prediction model of camber synthesis leveling based on PSO-LSSVM algorithm is used, the relative error is within ± 5% of both the training set and the testing set. Combine the mathematical model of roll gap tilt adjustment and PSO-LSSVM camber prediction, the roll tilt adjustment for different processes and product specification is calculated by predicting plate camber accurately to obtain good straightness for the final product, the relative error range of curvature value is within ± 6% after being compensated by PSO-LSSVM algorithm. The research result reveals that this method is suitable for camber prediction and model optimization in plate rolling process.

Abstract. With the NGW31 planetary gear reducer as the research object, combined with the related parameters of the planetary gear reducer, the traditional rigid model of the transmission system was established based on the conceptual model. And the traditional rigid model is taken as the basis, rigid-flex hybrid model of transmission system was established for a NGW31 planetary gear reducer based on the Roamx Designer. At the same time, the statics analysis was taken for the gear of planetary gear reducer under the two models of traditional rigid model and rigid-flex hybrid model. The results of analysis show that maximum contact stress of the gear under the rigid-flex hybrid model is significantly greater than the traditional rigid model, it is more close to the real conditions, which indicated that the rigid-flex hybrid model is more reasonable and reliable than the traditional rigid model.