Technology Of Complex Part’s Process Route Reuse And Optimization Design And Its Application On CNC Machine Tools

Processing and manufacturing of complex parts always is a research hotspot at present. In this paper, an ontology knowledge base on the area of manufacturing of parts is built, aimed to solve the problem of decision of parts’process route. For the typical parts, several existed typical process were chosen by the calculating of process feature similarity of typical parts, then fuzzy-rough set theory is used for the decision of these similarity process route. Combined with the ontology model of parts process features and process sources, the problem of a new part’s manufacturing process design and optimizaton is solved by the improving of AACA(adaptive ant-colony algorithm).The main content of this paper were stated as follows:In the first chapter, a brief introductory of research status of parts features, achievement and sharing of design knowledge and the process design theory are given, then on the foundation of the analysis of the deficiency of the problem of process route decision, the process feature similarity and the fuzzy-rough set theory are used to solve the problem of decision and reusing of part process route, then a new method to solve the optimized process route is put forward, which is based on the improvement of the AACA. At last, the brief introductory of the paper’s content is stated.In the second chapter, in order to solve the problem of modeling of the manufacturing knowledge at the present, the characteristic of the part process feature are analyzed firstly and then modeling method based on multistage feedback part process feature are proposed. From the structure characteristics of process knowledge resources, mix of top-down and bottom-up process resource modeling method are put forward for the modeling of the process sources. At the end of this chapter, a instance of modeling of the lead screw on the X-axis of a VMC (Vertical Machining Center) is given.In the third chapter, from a large number of process routes of typical parts on the design experience and knowledge ontology library, the characteristic of the part process feature are analyzed firstly, and the specific definition of parts of the ontology category name similarity and attribute similarity are given respectively, at the same time part process feature overall similarity specific calculate method and the matching method of typical process route are proposed. Based on the theory of fuzzy rough sets, the fuzzy information system composed of multiple sets of process scheme for attribute reduction is given, and then generated the parts processing plan decision rules. By the end, the decision rules for the final decision of the process are used to generate process route of typical parts.In the fourth chapter, the problem of the parts processing route decision making is analyzed in detail from various angle. And based on the ontology knowledge base, the mathematical model of the element of part feature and manufacturing element are created, according these two models, the mathematical definition of process element is put forward. Besides, the optimization objective should be confirmed, and then with the improvement of AACA, the detailed process of part process route design and optimization is proposed. A typical application instance of spindle box on a VMC is generated to prove the effectiveness and feasibility of the theory by the end.In the fifth chapter, according to the theory put forward at the previous chapters, a software about the solve and optimizing of the process route of the key parts of the high-grade numerical control machine tool is developed to improve the speed of the manufacture of the complex product.In the last chapter, the further research is put forward after summarizing all the achievements of the dissertation.