Advanced Materials Research Vols. 69-70

Abstract: Modal testing is essential to correct the structure of dynamics model and optimize structure designs. First, the principle and the application of modal testing system are introduced in this paper. Then, through the theoretical calculation, the frequency of the air spring is achieved in this suspension system. And the influence of the baric fluctuation to the rigid suspension system is analyzed. In order to achieve an ultra low frequency request at 0.03Hz, methods of reducing the baric fluctuation are proposed here. Through the analysis, we successfully design a modal testing suspension system which can test the natural frequency of the samples below 0.1Hz. Experimental results show the baric fluctuation of the suspension system is lower than 20Pa.

Abstract: In order to apply traditional CPM in resource-constrained project scheduling, the activity network is firstly formalized for resource-constrained project scheduling. Then Resource constraint in project is presented and an algorithm of the extended CPM is developed for resource-constrained project scheduling. Finally a case is conducted, which shows the accuracy and effectiveness of the extend CPM.

Abstract: In order to apply simulation to analysis, evaluation and optimization of the workflow performances, workflow process model for simulation is firstly formalized. Then workflow simulation model is bulit based on discrete event approach. Finally the supporting software tool system has been developed which shows feasibility of the proposed method.

Abstract: This paper studies mainly apples non-destructive selection technology, and presents the principle and implementation of non-destructive selection system for apple quality based on the theory of the fuzzy and neural network. Firstly, we can differentiate the kinds of apples by neural network theory. Then, the apple’s quality greatly depends on its size, shape, and color, which are considered as three input parameters in selection system. The pick-up of three character parameters is handled by computer image processing. Only one output parameter is apple rating, which is fall into three grades: A, B and C. Regarding three character parameters as input, we obtain the apple grade based on fuzzy arithmetic. Finally, we set forth the archetypal non-destructive selection system, which includes robot, AGV, conveyor, sensors and etc. Results of experiments show that this method can distinguish the apple’s quality as well as we set before the experiments, and the non-destructive system is feasible.