The Research Of Intelligent And Generative Process Planning Method Of Electromechanical Products And Implementation

As the rapid development of national economy and the globalization is being deepened, the demand of electromechanical products keeps increasing year by year. As the core of production process, the process design is the key to control production costs, improve quality, shorten development cycle, use process resources rationally, and then to improve the competitiveness of enterprises. It is also a puzzle has not been solved in digital design and quantitative CAPP domain. In this paper, on the basis of the demand of production and processes of electromechanical products, the process planning is discussed in depth. The optimization models of process planning at various stages are established. In these models, parts group is regarded as an optimizing unit, and process program of parts group is multi-objective optimized in several levels including processing scheme selection, process route arrangement, and manufacturing resource optimum allocation and so on.At first, hierarchical evaluation index system of process scheme is established in this paper. Process scheme is evaluated in multiple dimensions including quality, cost, efficiency, and environmental consumption, etc. The establishment of evaluation index system is the foundation of the multi-objective optimization of process program. Then manufacturing resources are classified and defined, manufacturing resources are organized into a resource tree. The correlation between evaluation indexes and resources process capacity are established. Secondly, the operation is defined as a multi-tuple and the.AND/OR graph is used to describe the flexible information of parts so that all processing programs of part may be considered.Then based on the characteristics of electromechanical products, an integrated process planning model is established in this paper. In this model, parts group is optimizing unit, processing plans of parts are generated automatically by considering flexible information of parts. In the multi-objective optimization, in addition to consider the cost, quality, efficiency and environment consumption, the transformation frequency of machines and tools and the resource load also be optimized.Due to the integration process planning problem of electromechanical products is a typical combination optimization problem which is nonlinear, discrete, and non-differentiable, the artificial bee colony algorithm which has outstanding performance in solving such problems in recent years is used to solve the problem in this paper. And this algorithm is improved based on the characteristics of optimization model.Finally, combining with the business process of electromechanical products, a process planning prototype system is developed.Through this system, the correctness and effectiveness of the model and algorithm used in this paper can be shown more intuitively.