Prediction And Experimental Research Of Molding Process Based On Biomass Three Components

Based on the research of the current status of biomass molding technology at home and abroad,the experimental investigation and theoretical analysis of biomass molding characteristics were carried out in order to solve the problems of high power consumption,poor quality and low yield of biomass molding granules,which provided basic data and theoretical guidance for the development of biomass molding technology,the development of molding equipment,and the production of biomass particle.The paper built the machine learning model for predicting the content of cellulose,hemicellulose and lignin based on support vector regression and thermogravimetric analysis.The model can better predict the content of three components of biomass.The model was used to predict the content of three components in bamboo,corn stalk and rice straw.It can be seen that the model still had a good effect on the prediction of three components content of the actual biomass.The regression model of the specific energy consumption and relaxation density in biomass molding process based on cellulose,hemicellulose and lignin mass fraction was established with the simplex lattice mixing design method.The research showed that the regression model can better predict the specific energy consumption and the relaxation density.The regression model was used to predict the specific energy consumption and relaxation density in the formation of cotton straw,bamboo and corn straw.The results showed that the regression model has good prediction ability for the actual biomass.Using the experiment platform of biomass molding process designed by ourselves,the effects of material type,material particle size,material moisture content,molding speed and holding time on energy consumption and relaxation density were carried out based on the three components of biomass.A comprehensive balance method is used to evaluate the influence of various process parameters on the specific energy consumption and relaxation density in biomass molding to obtain the optimal molding process parameters.The results showed that the optimal process parameters in the molding experiment were as follows: the material type was cotton stalk,the particle size was <0.075 mm,the material moisture content was 20%,the molding speed was 50 mm / min and the holding time was 110 s.The material type,the aspect ratio,the opening taper angle and the inner wall roughness were considered on the specific energy consumption and relaxation density with multiple material types,aiming at reducing the specific energy consumption and increasing the relaxation density of biomass particles.Then the optimal parameters of molding die hole were got.Comprehensive analysis of the experimental data showed that the optimal molding parameters for the biomass molding machine were as follows: the material type was cotton straw,the aspect ratio was 7:1,the opening taper angle was 15° and the inner wall roughness is 3.2.