Research On Parameter Optimization Of Cutting For The Custom Of Source Process

As an important part of intelligent manufacturing technology, research on the process automation systems will determine the success or failure of intelligent manufacturing systems, people done a lot of research in the field of processing and cutting parameters optimization currently, but most studies focus on only one aspect, while study on both a relatively small, the main objective of this paper is that the cutting process parameter optimization technology into the process being from the perspective of intelligent manufacturing systems, by using cutting parameters knowledge data and customization source process technology, process planning is automated in order to provide basic technical support for the development of intelligent manufacturing systems, thereby enhancing the competitiveness of enterprises and product manufacturing quality.The optimization process of cutting parameters in field of the machining is studied. According to the actual situation of the enterprises themselves, the parts machined are categorized, the concept of source part, source process and topology dimension vector space are promoted, with parametric source part model and source process planning established, thus customizing the parameterization. Meanwhile, the parametric source part model and the module of source process management(including the independent version and the integration version for 3D software) are constructed, and the source process parameters are acquired through the knowledge reasoning techniques in the source process documents. In view of the actual situation of enterprises, the modules are designed and developed to establish its custom cutting database and to calculate the cutting forces in orthogonal experiment intelligently in order to facilitate the user to expand the cutting data sources. The main contents are as follows.(1) The physical model of cutting force and cutting heat is set up based on the analysis of the chip formation mechanism, thus achieving the finite element simulation of the cutting process and the calculation of cutting force intelligently in the orthogonal experiment. Automated computing method is proposed for the orthogonal experiment of the cutting force.And, the fact database and rule database of cutting parameters optimization are created, the algorithm of the set rule reasoning is built for the cutting parameters optimization using the method of the domain ontology modeling and reasoning framework of CLIPS expert system, thereby achieving knowledge reasoning about cutting parameter optimization, and the algorithm is presented in order to standardize the results of reasoning by using the similarity to standardize the results of reasoning.(2) Based on the analysis of part information, four-layer models are establised to describe source part which is suitable for the source process customization system by the methods of the domain ontology modeling, and the design method of parts modeling in the 3D software is analyzed, information and feature about the part are extracted by using the secondary development interface of CAD system, the space of topology dimension vector and derivative algorithm are built, based on topology dimension vector space the model of source process are established in order to solve the difficult problem of obtaining the part information from the process system. For example, with the geometric characteristics of the certain shaft part analyzed, the parameters model of the source part established, a customized document of the parameterized source procedures for the parametric source part model is correspondingly created, including machining technique cards, machining processes cards, machining proceduces card, thus establishing parametric models for the source process and source fixture, realizing the automation of the custom process. The dimension chain model of topology dimension vector space is put forward in response to the calculating problems of the dimension chain of the customization source process. By introducing mathematical concept of vectors into the dimension chain, expanding the concept of the dimension to the concept of the dimension vector, a set of algorithms and the equations on the dimensions vector and the solving rules of the vector equation are created to achieve intelligence to determine the closed loop, search composed ring, judge the change, solve the relevant dimensions, and so on, and to build the tolerance model of topology dimension vector space which is suitable for the dimension chain of the source process systems.(3) By analysis of the optimization methods of the cutting parameters, the optimization variables on the cutting parameters optimization are determined, the relevant factors of the production process(like machine occupation, sharpening consumption, tool life, etc.) are studied, the objective functions of the maximum productivity and lowest production costs, the multi-objective optimization method, the optimization model on cutting parameter for source process is put forward, and the prediction method of the cutting process parameters based on experience formula are established, thus proposing the adaptive parameter optimization method for cutting processes. Through analyzing the deformation of the process system, studying the relevant influencing factors, the adaptive objective function of cutting parameter optimization is created, the adaptive parameter optimization method for cutting processes is proposed by controlling the deformation of the process system, reducing processing errors, therefore achieving adaptive optimization of cutting parameters.(4) As an example, the parametric source part models, source process and source fixtures assembly for three shaft parts are established in the UG environment in order to verify results of this study and optimize the cutting parameters.