Preparation of aluminum silicate reinforced digital light processing photosensitive resin and optimization of process parameters
Through digital light processing(DLP)3D printing technology,the aluminum silicate reinforced DLP photosensi-tive resin parts were prepared,in order to optimize the optimal aluminum silicate content and molding process,the influences of DLP process parameters(exposure time,printing layer thickness)and different aluminum silicate contents on the forming error and tensile strength of the part were studied by single factor experiment,and the appropriate parameter range was selected as the level value of the response surface method.Then,in Design-Expert 13 software,the response surface method was used to construct quadratic polynomial regression models with the printing layer thickness,exposure time and aluminum silicate content as experimen-tal variables,and forming error and tensile strength as response values.Finally,the minimum forming error and the maximum tensile strength were taken as the optimization goals for optimizing process parameters.The obtained optimum process parameter combina-tion is that the printing layer thickness is 0.04 mm,the exposure time is 5 s,and the aluminum silicate mass fraction is 2%.Accord-ing to this parameter combination condition,the final forming error and tensile strength of the printed molded parts are 0.41%and 64.3 MPa respectively,which are close to the theoretical prediction values,and the optimization results are reliable.
optimization of process parametersresponse surface methodphotosensitive resinaluminum silicateforming errortensile strength