Papers by Author: Jie Zhang

Abstract: In order to achieve associated design of multi-discipline in aircraft development, a method of associated design based on skeleton model is proposed. Firstly, a method to establish the multi-level skeleton models which can realize the transmission of design intention is proposed and the top skeleton model which can be broke down into more subassembly skeleton model is gained from the general layout; secondly, after a analysis of the longitudinal and transvestite design data among all the skeleton models of an aircraft, a constraint network model among all skeleton models is established to realize the association or unity of design data. Thirdly, the key steps and principles are introduced. Finally, a wing is set as an example to validate this method.

Abstract: In a discrete assembly system, setting its optimal production status is one of the key works in assembly line balancing. Based on analyzing the objectives of assembly line control, a general flow for setting the optimal production status is proposed, and a method to identify rapidly the setting objects of production status is introduced. Then an optimal configuration solution for production status and its solving method in a station of an assembly line are established based on the genetic algorithm. At last, a wing assembly line is set as an example to validate this method, and the result shows that this method can provide a solution to optimize production status parameters for each station in this assembly line, which can reduce the resource idle time and cost, and so its resource utilization rate is improved.

Abstract: Subassembly has an important role in aircraft manufacturing. There are different shop orders at different periods, so subassembly system need to adjust production capacity through reallocation of resources. Based on graphic ant colony algorithm(GACA), an optimal resource allocation method was proposed on aircraft subassembly system. In the method, first, a Petri Net(PN) model was used to describe the logic of tasks and resources in system. Next, to support solving process of GACA, structure graph for ant routing was designed by PN model. Then according to features of aircraft subassembly, solving rules and procedures of GACA are discussed in detail, which can obtain an optimal resource allocation scheme by requirement of production capacity adjustment. In addition, an example on flaperon assembly was introduced and the result demonstrated the functionality of the method.

Abstract: According to the characteristics of aircraft subassembly, an optimal method for task balancing under resource constraints is presented. Firstly, the judgment indexes are abstracted to represent the running state of the assembling task, and mathematic model of assembling task balancing was established by available resources. Considering feature of aircraft subassembly, a fitness function is proposed based on two-stage priority targets, which are specific to task sequence and resource allocation respectively. Afterwards, Genetic-Tabu hybrid operations are executed to get the optimal solution. Finally, the effectiveness of this method is verified by applying to assembly task balancing of an outer flank.

Abstract: Computer Aided Assembly Process Planning and Simulation in 3D environment depends mainly on the manner of human-computer interaction currently in the airplane manufacturing industry, and in fact it’s just a recorder for recording the designers’ assembly intention. It’s short of supports for a designer to execute the 3D assembly process planning and simulation, for lacking a strict process flow definition and a pilot method. In this respect, we propose a decomposition modeling method of 3D assembly process planning and simulation for airplane subassembly named Assembly Process Micro-Planning and Simulation (APMPS), which defines a standardization flow and a data-information modeling method. By using this method, the assembly process can be designed and validated form assembly-design-intention to assembly-process-planning to assembly-process-simulation with the five process levels’ definition (AJATAOAAAM). This method is validated by a central-wing’s assembly process design in an airplane manufactory. The result shows that the APMPSS is in accordance with the Concurrent Engineering’s requirements, and it can be carried out fast in 3D environment.