Manufacture Information Modeling And Optimization Of Surface Forming Process Based On Fused Deposition Modeling Based On Manufacturing Information Modeling

In additive manufacturing,fused deposition modeling(FDM)is a typical molding process.Because the quality of its parts cannot meet the design standards and user requirements,it restricts the application and development of FDM technology in the industrial field.This paper focuses on the modeling of additive manufacturing process information based on model definition(MBD)to solve the problem of the expression and mapping of process labeling requirements information,and analyzes the errors and influencing factors in the FDM process,aiming at the surface of the molded parts.The quality requirements establish a mathematical model.At the same time,the fuzzy particle swarm optimization algorithm is used to optimize the forming direction,and the process model is divided using the optimization results to verify the correctness and feasibility of the relevant theory.The specific topics of this thesis are as follows:(1)Research on Process Information Modeling Based on Model Definition Additive Manufacturing.Using MBD's expression method,product information is defined by an integrated 3D design model.The roughness,flatness and roundness of the product surface are marked on the 3D model by color information for recognition by the molding equipment,and the corresponding parts are determined.3D printing parameters and routing(2)Research on Surface Quality of FDM Formed Parts.Each surface was classified according to the geometric features of the molded parts.By analyzing the errors and influencing factors in the FDM process,a corresponding theoretical model for the surface quality of the molded parts was established,and the parameters and surface forming quality in the FDM process were studied.The relationship between the use of BP neural network prediction data validation mathematical model correctness,as well as to make up for the lack of support surface can not express the dominant function of the lack of,in order to follow the direction of forming the workpiece to provide a reliable guarantee.(3)A Method Based on Color Labeling to Optimize Surface Forming Quality of Parts.According to the FDM forming mechanism,the importance of selecting the forming direction of the workpiece is analyzed.The fuzzy particle swarm algorithm is used to optimize it,which effectively avoids the blindness and difficulty in selecting the forming direction.At the same time,the process layer division scheme of the optimized model is proposed.It simplifies the processing of data and intuitively reflects the ease of molding of the parts.(4)The optimization of the forming direction of the process model and the experiment layer division experiment.Combine the actual engineering parts and establish its MBD model,adopt fuzzy particle swarm algorithm and process layer division to optimize it,design three kinds of different technological schemes according to the FDM forming mechanism,compare the experimental measurement results of each process scheme and verify The correctness of the relevant theoretical analysis of this study.