It is important for assemble industry to generate an optimized assembly sequences. In order to solve this problem, firstly an oriented mating graph model is proposed with the related mating matrix. Therefore an improved simulated evolution algorithm is proposed, which can compute an energy function of the assembly cost associated with the assembly sequence deduced by the graph model. The energy function can be optimized iteratively and perturbed occasionally by the simulated evolution until no further change in the energy occurs. Finally, the validity of the method is proved by a typical case.

Frontal sled test is an important platform that widely employed to predict and assess changes in overall safety performance as vehicle structural and occupant restraint parameters are varied. In this paper, a characteristic door intrusion velocity pulse in side impact was analyzed and a set of side test jig was designed, which realized one kind of simplified side impact sled test method. Then we compared the injury values of the side impact dummy, the result showed that there existed good correlation between sled test and full-vehicle test.

In order to solve the problem of generating and optimizing the assembly sequences of a complex assembly, the oriented-mating graph model of the assembly and the related mating matrix are created. Then an improved simulated annealing algorithm is used to solve the ASP problem. This algorithm reflects the assembly cost to an energy function associated with the assembly sequence. The energy function is iteratively minimized and occasionally perturbed by a simulated annealing until no further change in the energy occurs. Finally, a living example is given to prove the validity of the method.