Additive Manufacturing Forming Precision Detection And Parameter Optimization

Additive manufacturing is a technology for constructing objects by layer-by-layer printing.Traditional machine vision inspection systems have problems such as low precision and low efficiency,which cannot meet the requirements of additive manufacturing precision detection.Aiming at solving the difficult ies in the detection of additive manufacturing precision,based on the numerical simulation of the forming process,this thesis designs a forming precision detection system based on line structured light technology,and optimizes the forming parameters through experimental analysis.The main research contents include:1.The effects of parameters such as temperature,printing speed,layer height and material properties on the forming accuracy are investigated.The ANSYS software is used to simulate the additive manufacturing process under different parameters.The element birth and death technology is used to simulate the material accumulation process,and the direct coupling method is used to simulate the stress field of the molded part.It is verified that the FDM type additive manufacturing technology has the problem of warpage deformation of the molded part.2.Designing a molding accuracy detection system based on structured light.The line structure light method is selected as a collection scheme for the surface data of the molded part.The components such as servo motor,servo driver and PLC controller are selected,the hardware of the motion platform is built,the PLC program to complete the motion control scheme design is written,and the surface data acquisition of the molded parts is realized.3.An improved bilateral filtering point cloud denoising algorithm is proposed to effectively solve the noise problem in point cloud data.The Power Crust algorithm is used to process the denoised point cloud data,whic h effectively reduces the surface reconstruction time,preserves the geometric features of the point cloud data,and completes the 3D reconstruction of the surface of the molded part.The Geomagic Qualify reverse enginee r ing software is used to mark the defect location and calculate the characteristic parameters such as maximum deviation,minimum deviation and standard deviation of the molded part.4.Performing additive manufacturing inspection experiments and parameter optimization for additive manufacturing.The standard molded part printing model is designed,and parameters such as layer height,printing speed and printing temperature are selected to design 9 orthogonal experiments.Combined with the detection system,the dimensional data of each direction of the actual molded part is obtained.The relative error between the calculatio n and the model size is analyzed by the range method.The primary and secondary sequences of the printing parameters affecting the forming accuracy are studied,and the optimized parameter combination method is obtained.The comparison experiment is performed again to verify the effectiveness of the parameter optimization.