The main aim of this paper is to achieve the suitable SA-GEL (sodium alginate and gelatin) porous cartilage scaffold by 3D printing technology with optimal prediction parameters. Firstly, the characteristics of SA-GEL were analyzed, the influence of calcium chloride on the gel was explored, and the optimal cross-linking concentration and gelation temperature were determined. Secondly, a prediction model of the extrusion line width of SA-GEL was established, in which the printing pressure, the moving speed of the needle and the fiber interval were the important parameters affecting the printing performance of the SA-GEL composite material. Thirdly, the SA-GEL composite scaffolds were printed on the Bio-plotter platform, the C5.18 chondrocytes cells were cultured in the SA-GEL biomaterial scaffold, and the results show that the cells could survive well. These results show that, under the control of the printing parameters pressure 1.8 bar, moving speed 10.7 mm/s and the internal structure parameters of the scaffold is 0/45-1.2 (Printing interval: 1.2 mm, angle value: 45 degree), SA-GEL scaffold printing results can be obtained which have good mechanical properties and biocompatibility.

High performance round link chains are applied in many fields, such as mining, metallurgy, hoisting, shipping, etc. and accidents can easily happen under the condition of bad or complicated working conditions. This paper studies the dynamic analysis of the round link chain transmission process. The kinematics analysis is carried out first, and then the dynamic analysis is carried out after the force analysis of each component. By establishing the mathematical equation of the structural model of the round chains chain, the two static analysis models for the contact of the chain link are derived. Then, the collision process between the round link chains is simulated and analysed. Finally, fatigue fracture mechanism of round link chain and the propagation law of fatigue crack are studied, also, experiments verified that the round link chain satisfies the actual requirement in special needs such as mining.

Data Mining is deeply data analysis method; it can take many goods to evaluate the high school students studying effectiveness. This paper take a high school computer department student's information analysis as an example, according to the implementatation of data mining program, realized the whole process of classification and excavation of the data completely. The process includes making sure the Data Mining target, collecting the data, preprocessing data, classifying and generating the classification rule. ID3 is used to generate a decision tree and post-pruning method is used to pruning the tree. And the according to the decision tree, the classification rule is obtained. The results of Data mining can guide teaching scientifically and improve the quality of teaching.