JOURNAL ARTICLE

Optimization methods for 3D lithography process utilizing DMD-based maskless grayscale photolithography system

Xiaoxu MaYoshiki KatoYoshikazu HiraiFloris van KempenFred van KeulenToshiyuki TsuchiyaOsamu Tabata

Year: 2015 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 9426 Pages: 94260F-94260F   Publisher: SPIE

Abstract

Digital Micromirror Device (DMD)-based grayscale lithography is a promising tool for three dimensional (3D) microstructuring of thick-film photoresist since it is a maskless process, provides possibility for the free-form of 3D microstructures, and therefore rapid and cost-effective microfabrication. However, process parameter determination lacks efficient optimization tool, and thus conventional look-up table (indicating the relationship between development depth and exposure dose value under a fixed development time) approach with manual try-and-error adjustment is still gold standard. In this paper, we firstly present a complete “input target-output parameters” single exposure optimization method for 3D microstructuring utilizing DMD-based grayscale lithography. This numerical optimization based on lithography simulation and sensitivity analysis can automatically optimize a combination of three process parameters for target microstructure; exposure dose pattern, a focal position, and development time. Through a series of experiments using a 20 μm thick positive photoresist, validity of the proposed optimization approach has been successfully verified. Secondly, with the purpose of further advancing accuracy and improve the uniformity of precision for the target area, a multiple exposure optimization method is proposed. The simulated results proved that the multiple exposure optimization method is a promising strategy to further improve precision for thicker photoresist structure.

Keywords:
Photoresist Photolithography Lithography Microfabrication Digital micromirror device Materials science Computer science Computational lithography Grayscale Process (computing) Maskless lithography Sensitivity (control systems) Resist Multiple patterning Artificial intelligence Nanotechnology Electronic engineering Optoelectronics Electron-beam lithography Fabrication Pixel

Metrics

3
Cited By
0.50
FWCI (Field Weighted Citation Impact)
24
Refs
0.73
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advancements in Photolithography Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Nanofabrication and Lithography Techniques
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced optical system design
Physical Sciences →  Engineering →  Biomedical Engineering

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