This item is licensed Korea Open Government License
dc.contributor.author
손일엽
dc.contributor.author
정성원
dc.contributor.author
이상현
dc.contributor.author
서인수
dc.date.accessioned
2022-01-12T02:39:22Z
dc.date.available
2022-01-12T02:39:22Z
dc.date.issued
2019-09-20
dc.identifier.issn
2288-6206
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16245
dc.description.abstract
A direct simulation Monte Carlo (DSMC) method is implemented on graphical processing unit (GPU) architecture to simulate the deposition phenomena that occur on a glass panel during modern organic light emitting diodes (OLED) manufacturing processes with a huge number of simulated particles because a fully three-dimensional (3D) particle simulation is required to accurately predict deposition thickness and uniformity on the substrate in a low-pressure environment. To examine the accuracy and efficiency of the newly developed DSMC code running on GPU architecture, verification and validation tests were performed by solving several benchmarking problems. Under three conditions which have been applied in previous OLED deposition process test experiments, the new DSMC model successfully simulates the transport of organic material evaporated from the heated nozzle array and its deposition onto a glass panel inside a low-pressure chamber. The uniformity and normalized thickness between the DSMC and experimental results for the three test cases are then compared. The normalized thickness of the organic material deposited to the large glass panel calculated from the DSMC is found to have an error of less than 4%, and the uniformity values calculated from the absolute deposition thickness show good agreement with those obtained from experimental data in all test cases.
dc.language.iso
eng
dc.publisher
한국정밀공학회
dc.relation.ispartofseries
International Journal of Precision Engineering and Manufacturing-Green Technology;
dc.title
Improved Modeling of Material Deposition during OLED Manufacturing using Direct Simulation Monte Carlo Method on GPU Architecture