In order to effectively represent assembly process information based on three dimensional (3D) models and rapidly extract the necessary information for assembly process planning, analysis and simulation, this paper aims to research the multiple view representation of assembly process information based on 3D models. Assembly process information based on 3D models is summarized and considered as the single source of the multiple view representation. The definition and organization of assembly process view is defined to implement assembly process representation based on view. Assembly process views based on assembly process planning work flow are established. View mapping approach is investigated to rapidly extract the necessary information for assembly process planning, analysis and simulation. The use of the multiple view assembly process representation is illustrated by building detailed assembly process view and assembly process simulation view and by extracting relevant information for the assembly process simulation view from detailed assembly process view.

A majority of information in manufacturing is the process information which presents mobility. Such information reflects transforming process form materials to products. This research establishes a manufacturing process information model that presents uniqueness, validness, completeness and generality based in PSL. The model can provide necessary process information and related product, material and resource information required by systems for integrating and collaborative decision making. It then enables to build a collaborative manufacturing decision making process model which is capable of utilizing the process information model. By defining logic procedure, data wrapping and service invoking in the decision making process model, multi-manufacturing systems collaborative decision making will be implemented. Such method of manufacturing process information modeling and decision making process modeling is illustrated by examples of the collaborative creation of a part process plan and an assembly process plan considering actual manufacturing environment.

The production organized in flexible manufacturing cells (FMC) can be a complicated issue when they are constrained by machines, robots, equipment and some other resources. Since machines and robots are the main bottleneck to the efficiency of FMC, this paper focused on the modeling and scheduling problem constrained by machines and robots. A common model representation, colored timed Petri net (CTPN) was utilized to build a FMC model constrained by robots and machines, which was then transformed to the simulation model. The scheduling problem was studied to establish a mathematical model of the FMC constrained by machines and robots. According to the model, a genetic algorithm was proposed to search an optimal solution by using an indirect coding of scheme. The effectiveness of the proposed algorithm was validated via an instance and the comparison with the result from the solution of simulated annealing algorithm.

In view of the complex structure and inaccurate positioning capabilities of the existing panoramic scanning system, a panoramic scanning device based on a piezoelectric ceramic stack actuator and friction transmission was designed. In our model, the output displacement of the piezoelectric ceramics is amplified by a bridge-type flexure hinge and applied to a shaft by friction to achieve panoramic scanning imaging. The mathematical model of the device was established, and the working characteristics were analyzed. The analysis demonstrated that the linear displacement increment of the shaft is a superposition. A modality simulation was performed, and the simulation results show that the designed device works normally at a frequency of 511.5 Hz. The test results indicated that the displacement of the actuator can reach 6 μm at an input voltage of 100 V. Moreover, the laser scanning results showed that the designed device can perform panoramic scanning imaging, which meets the requirements for use on the high-speed imaging system.