3D Printing Process Parameters Optimization And Property Prediction Of Sand Mold & Core

There are two main types of 3D printing sand molding method: Threedimensional Printing(3DP)binder bonding sand molding casting cores and selective laser sintering(SLS)sintering coated sand molding casting cores in specific areas.Compared with SLS,3DP has the advantages of long life,simple maintenance,good environmental adaptability,and fast molding speed.Therefore,it is particularly important to study the molding parameters of 3D printing sand molding method.The main properties of the casting core are mechanical strength,gas volume and loss on ignition.Therefore,this subject has studied the impact of 3D printing parameters on performance and provided support for performance control.The application of sand 3D printing technology in casting has great practical significance.This article aims to the 4 main parameters of 3D printing cores: activator content,resolution X,layer thickness,and recoater speed.The orthogonal experiment was applied to rank the significance of these 4 parameters affecting the properties of printed sand molds and cores.According to the actual use in the range,the adding amount of curing agent is 0.16%-0.25% of the mass of the molding sand,the Resolution X range is 0.07mm-0.10 mm,the use range of the layer thickness is 0.24mm-0.36 mm,and the use range of the recoater speed is 120mm/s-210mm/s.In order to obtain the combination of parameters that meet the production needs,an orthogonal experiment of 4 factors and 4 levels was designed based on the orthogonal table.The parameters that significantly affect the properties of the molding sand were selected by the method of analysis of variance.The parameters were adjusted according to the experimental results and the actual production needs.The optimal parameters combination were obtained,and use the parameter combination printed samples to verify the properties,and finally get the optimal parameters combination that meets the production and application requirements,and combine the experimental results to establish the mathematical model of the parameters affecting the properties of the 3D printing sand core.According to the mathematical model,the reason why these parameters affecting sand mold properties significantly were analyzed.The 3D printed mold and core need to be processed for 24 hours after the resin is completely cured to reach the optimal state before it can be used.This paper uses linear regression and BP neural network to establish models that can predict the mechanical properties of the samples.Combined with the actual situation,the sample weight,activator content,Resolution X,layer thickness,recoater speed and sample position were taken as factors affecting the mechanical properties of the sample.Two models were trained and tested,and the linear regression method has excellent stability.But the error of the BP neural network after repeated training is less than the error of the linear regression method,the relative error is within 10%,which meets the use accuracy,can predict the mechanical properties of the sample,and can adjust the parameters in time according to the prediction results To make its mechanical properties meet the needs of actual production,simplify the process steps and improve production efficiency.