In the design of disconnected steering trapezoid, the Fmincon function of MATLAB optimization toolbox is used to optimize its basic parameters. First, establish the optimal mathematical model. Second, obtain wheel angle curve of inside and outside steering by least-squares fitting. Finally, compare the curve with the ideal Ackerman geometric curve to get the optimization parameters of disconnected steering trapezoid. The example of optimized design validated that the actual curve of deflection angle of the both sides of steering wheel was almost close to perfect Ackerman geometry curve, it ensures the steering of wheel do pure rolling in the common conditions, which reduce tire wear

The parameters optimization for injection molding based on digital signal processing is gave in this paper. First, design the optimization program of injection molding parameters with orthogonal test; Second, gating system, cooling systems and related injection molding process parameters are chosen as the experimental analysis factors to optimize injection molding process, and analyze the range and variance of test data by MATLAB, to determine the factors that affect the forming quality of the process significantly; Third, the model of process optimization is established by regression analysis; Finally, the optimal process parameters is found by genetic algorithm. The experimental results shown this optimization method can achieved the best parameters for practical produce. So, the method has important practical significance.

To optimize injection molding process, the gating system, cooling systems and related injection molding process parameters are chosen as the experimental analysis factors, the quality of the injection as the experimental index in this paper. First, design the test program with orthogonal experimental and simulate with Moldflow MPI 6.0. Second, after plastic molding, in order to determine the integrated target, the comprehensive evaluation method of fuzzy mathematic is used to evaluate warpage values, shrinkage and residual stress. Finally, get the optimization scheme and the best match of gating system and cooling systems though the range and variance analysis of integrated target. The experimental results shown this optimization method can achieved the best parameters for practical produce. So, the optimization injection molding method, MPI and experimental design based, has important practical significance.

The influence of phase transformation cycle times on the plasticity and microstructure of FeMnSiCrNi alloy was researched in this paper. The results show that phase transformation cycling can significantly improve the plasticity of the alloy. Plasticity is improved with the increase of cycles. The elongation gets to 87.6% after 5 cycles, it increases 150% compared with non-treated. The more cycle times, the grain is smaller. During the inverse transformation the second phase directional precipitation significantly harden austenite and improve the reversibility of stress-induced martensite. Due to interaction of the second phase strengthening and grain refinement, the plasticity and strength of alloy are both increased significantly. This method provides a new way for the realization of transformation superplasticity.