Patent ID: 11882664
Assignee: NORTHWESTERN POLYTECHNICAL UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC B  H  G | IPC G  H

Claim 1:
2. The artificial intelligence-assisted printed electronics self-guided optimization method according to claim 1, wherein the dividing six variables, the number of jetting holes of the printer, the number of times of printing, a printing speed, a temperature of the printing substrate, the distance between a nozzle and the substrate, and an inkjet intensity of the nozzle, into six groups, where each group consists of four uniformly varying parameters, totaling 24 printing parameter combinations, comprises:
determining the number of jetting holes of the printer as a first group, the parameters in the first group are 1, 2, 4 and 6;
determining the number of times of printing as a second group, the parameters in the second group are 1, 2, 4 and 6;
determining a printing speed as a third group, the parameters in the third group are 50 mm/s, 100 mm/s, 150 mm/s and 200 mm/s;
determining a temperature of the printing substrate as a fourth group, the parameters in the fourth group are 21° C., 30° C., 40° C. and 50° C.;
determining the distance between a nozzle and the substrate as a fifth group, the parameters in the fifth group are 0.1 mm, 0.6 mm, 1.1 mm and 2.1 mm;
determining and an inkjet intensity of the nozzle as a sixth group, the parameters in the sixth group are 65%, 75%, 85% and 95%.