Research On Process Optimization And Reuse Fused Multidimensional Manufacturing Information

Intelligent manufacturing needs urgently to develop so as to meet the strategic transformation of “Made in China” to “Created in China”.But the current situation that machining process design ability does not match with product design and manufacturing ability has become shortcomings restricting the transformation and development of manufacturing enterprises in our country.How to optimize and recycle the process is one of the effective ways to improve manufacturing level and innovation ability.In order to improve the machining optimization and reuse level,this paper combines multi-dimensional manufacturing information,and builds directional weighted network of parts manufacturing process.The process route is decided on the basis of complex network theories,and the optimal process route is obtained by considering the stability of manufacturing network.Facing manufacturing resources uncertainties of manufacturing information,factors associated with processing abnormalities in machining procedure are analyzed to provide guidance for process optimization.From the perspective of geometric evolution,the influence of procedure model changes on relevant procedures in the process route is studied to improve the controllability of the impact of machining features change on the process route.At last,from manufacturing information and machining features,this paper proposes a procedure reuse method of process model to realize reuse of procedure fragments.A theory and methodology is built as “Process route decision — — Factors analysis(manufacturing resource)——Procedure optimization spread(geometric evolution)——Process fragment(procedure sequence)reuse”.Specific research contents are shown as follows:1)Process routing decision based on the weighted network established with multi-dimensional manufacturing information.From processing characteristics of parts,we comprehensively consider multi-dimensional manufacturing information such as machining features,machining methods,machining phases,manufacturing resources and machining parameters,and combine machining element concepts that integrate multi-dimensional manufacturing information.By analyzing the complex network characteristics in parts manufacturing,machining elements are mapped into the directional weighted network,and the directional weighted network of parts manufacturing process is established based on the theory of complex network.Aiming to the goal of manufacturing time and manufacturing cost,initial decision of process route is made.Considering stability of the weighted network in part manufacturing process,a brittleness risk entropy function is established.As a representation of the stability of the weighted network in the part manufacturing process,the brittleness risk entropy function is calculated by index to realize the final decision of process route.2)Factors analysis of machining procedure considering manufacturing resource uncertainty.According to the brittleness theory in complex system,factors of procedure brittleness in manufacturing process are analyzed,and the brittle out-of-control mechanism of machining procedure is explored.By constructing a hierarchical model of factors influencing the procedure brittleness,analysis of factors are made based on the comprehensive evaluation of the uncertainties of manufacturing resources.Key factors influencing procedure abnormalities and critical control points of procedure abnormalities are determined and feed back to process design so that the process can be adjusted in time when reusing the process design.The actual demand of process optimization is derived from manufacturing resource perspective,so as to provide guidance for optimization of machining process and improve the stability of manufacturing process of complex parts.3)Geometric evolution of procedure model based on feature association.By analyzing the relationship between machining features in process route,a design structure matrix with machining features correlation is established,and machining features correlation subgraphs are formed by cluster analysis of DSM.Possible propagation paths and influence ranges of machining features change are found,and the geometric evolution propagation model is established.According to requirements of the geometric evolution propagation model,the procedure model information is organized to ensure the integrity of 3D procedure model information.Aiming at problems of geometric evolution caused by adding,deleting and modifying machining features caused by process optimization,geometric evolutionary propagation algorithms are established based on the procedure model information and the geometric evolution propagation model.Geometrical evolution problem caused by process optimization is studied from geometrical perspective to ensure the controllability of the impact of machining features change on the process route4)A method for reusing process fragment combined manufacturing information.A graph isomorphism principle is used to simplify procedure model sequences contained in process route.Designer-specified machining feature is achieved by retrieving in simplified process routes library.From manufacturing information and geometry,the similarity of machining features is evaluated comprehensively to ensure the search accuracy while improving search efficiency.Based on similar machining features obtained from retrieval,a process fragment reuse algorithm is proposed to obtain a process fragment composed of isomorphic three-dimensional procedure model in process route to which the machining feature belongs,and manufacturing information of each three-dimensional process model in the process fragment is extracted for new process design to achieve the reuse of process fragment.