Study On Hot Bending Forming Technology Of 3C Glass Panel And Analysis Of Energy Consumption

With the progress of science and technology and the development of 3C industry,aspheric optical lens is widely concerned because of its excellent performance.At the same time,the manufacturing technology of optical elements is also developing rapidly.In recent years,as an alternative to traditional glass manufacturing technology,glass molding process（GMP）has the advantages of high processing efficiency,good forming accuracy,low cost and no pollution.However,there are still many problems to be solved,which hinder the further popularization of this technology.For example,the forming stress of the product is too large,the final outline of the lens is deviated and the energy consumption is large.Therefore,the research of glass component manufacturing technology and its energy consumption analysis has important theoretical and practical significance.In order to investigate the residual stress and shape deviation of glass panel after forming,the viscoelastic model of glass material and the relaxation phenomenon with temperature were analyzed,and the finite element numerical simulation model of multi station die pressing was established.Then,based on the experimental process of the molding process,the MSC.Marc software was used to add the load and boundary conditions to the model,so as to realize the visual analysis of the residual stress and shape deviation of the glass lens processing process,and further study the influence of process parameters on the forming quality（residual stress and shape deviation）in each stage of the molding process.In order to study the influence of process parameters on the forming quality of fingerprint lock in GMP,heating rate,cooling rate and molding temperature were selected as variables to carry out simulation experiments,and the influence of molding temperature,heating rate,cooling rate and other process parameters on residual stress and shape deviation of glass element was discussed.The results show that the residual stress and shape deviation are small when the forming temperature is 670°C.considering the distribution of residual stress and temperature difference,the residual stress is small when the forming temperature is controlled at 670℃,the heating rate is 2.0°C/s and the cooling rate is 0.5°C/s.When the heating rate is 2.0°C/s and the cooling rate is 0.75°C/s,the surface shape deviation of the formed glass is small.Combined with the simulation results,3D high-precision scanner is used to measure the surface error of glass panel.The experiment shows that the maximum surface error of fingerprint lock glass panel appears in the middle part in the GMP.This is because in the process of annealing and cooling,the edge of the product is close to both sides of the mold,and the shrinkage of the middle part is lower than the edge,which leads to a large surface fitting error of the middle part of the product,but the maximum error is less than 0.05 mm,which further verifies the correctness of the simulation model.In order to study the high energy consumption of the mold forming process of 3D mobile phone cover plate,the heat transfer model of heating plate heat transfer plate die was established according to the heat transfer phenomenon in the experiment.The process energy consumption,good product rate and carbon emission of each glass were analyzed through experiments.The experiment shows that the energy consumption can be reduced by changing the process parameters in the actual processing process.Through two groups of experiments,the CO₂ emission can be reduced from 1313.87 to 1127.97 g/pcs after changing the process parameters,and the corresponding reduction is 14.15%,which has guiding significance for the realization of green manufacturing and sustainable development of molding process.This paper then introduces the molding process equipment for manufacturing high-precision glass panel,which is multi station molding machine.The pressure system and constant temperature control device are the equipment to provide pressure and monitor the temperature change for the machine.The three-axis cylinder of Yadeke tcl20x175s is selected as the pressure control device,and the temperature sensor is Shanwu c15tv0ta0300,which can meet the requirements of processing and production.Next,the QPSO BPNN multi-objective optimization algorithm is used to optimize the algorithm based on process energy consumption and good product rate,and the average relative error of energy consumption and good product rate is obtained,The difference between the experimental and the predicted data is less than 5%（about 2.72%）,which proves that QPSO-BPNN can obtain high prediction accuracy through double objective optimization,and verifies that the optimized process parameter combination is reliable and accurate.Ultimately,the future development of glass materials,finite element numerical simulation and mold manufacturing innovation are predicted.