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    ์ž‰ํฌ์ ฏ ์–‘์ž์  ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ๊ณฝ์ •ํ›ˆ.์ฝœ๋กœ์ด๋“œ์„ฑ ์–‘์ž์ ์€ ๊ด‘์†Œ์ž์— ์‚ฌ์šฉํ•˜๊ธฐ์— ์ ํ•ฉํ•œ ๊ด‘ํ•™์  ์ „๊ธฐ์  ํŠน์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ํŠนํžˆ๋‚˜ ๋†’์€ ์–‘์žํšจ์œจ, ์ข์€ ๋ฐœ๊ด‘ ํŒŒ์žฅ๋Œ€, ๋ฌด๊ธฐ ์žฌ๋ฃŒ์˜ ๋‚ด์  ์—ด์•ˆ์ •์„ฑ๊ณผ ๊ด‘์•ˆ์ •์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ธฐ์— ๋ฐœ๊ด‘๋‹ค์ด์˜ค๋“œ์˜ ๊ด‘๋ฌผ์งˆ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ์— ์ ํ•ฉํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์–‘์ž์  ์†Œ์žฌ๋Š” ์ฝœ๋กœ์ด๋“œ๋กœ ์šฉ์•ก ๊ณต์ • ๊ธฐ๋ฐ˜์ด๊ธฐ ๋•Œ๋ฌธ์— ์ฐจ์„ธ๋Œ€ ๋””์Šคํ”Œ๋ ˆ์ด๋กœ ์‚ฌ์šฉ๋˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํŒจํ„ฐ๋‹ ๊ธฐ์ˆ ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋“œ๋ž ์บ์ŠคํŒ… ๋ฐฉ๋ฒ•, ๋ฏธ์ŠคํŠธ ์ฝ”ํŒ… ๋ฐฉ๋ฒ•, ํŠธ๋žœ์Šคํผ ํ”„๋ฆฐํŒ… ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ๊ธฐ์ˆ ๋“ค์ด ๋ณด๊ณ ๋˜์–ด ์™”์œผ๋‚˜ ์ตœ๊ทผ์—๋Š” ๋ฌผ์งˆ ์†Œ๋ชจ ์ตœ์†Œํ™”์™€ ๊ณ ํ•ด์ƒ๋„ ๊ณต์ •์ด ๊ฐ€๋Šฅํ•œ ์ž‰ํฌ์ ฏ ๊ธฐ์ˆ ์ด ๊ด€์‹ฌ๋ฐ›๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ž‰ํฌ์ ฏ ๊ธฐ์ˆ ์—๋Š” ๋ช‡ ๊ฐ€์ง€ ๊ธฐ์ˆ ์ ์ธ ์ด์Šˆ๋กœ ์ธํ•ด์„œ ์ž‰ํฌ์ ฏ ํ”„๋ฆฐํŒ…๋œ ์–‘์ž์  ์ž๋ฐœ๊ด‘ ์†Œ์ž์˜ ์„ฑ๋Šฅ์€ ์•„์ง๊นŒ์ง€ ์Šคํ•€์ฝ”ํŒ… ์†Œ์ž์— ๋น„ํ•ด ๋‚ฎ๊ฒŒ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๋‹ค. ์ตœ๊ทผ์—๋Š” ์ž‰ํฌ์ ฏ ํ”„๋ฆฐํŒ… ๊ธฐ๋ฐ˜์˜ ์–‘์ž์  ์ž๋ฐœ๊ด‘ ์†Œ์ž๋Š” ์šฉ๋งค ํ˜ผํ•ฉ๋ฌผ๊ณผ ๋ฑ…ํฌ ๊ตฌ์กฐ๋ฌผ์˜ ํ‘œ๋ฉด ์—๋„ˆ์ง€๋ฅผ ๋ฐ”๊พธ๋Š” ๋ฐฉ์‹ ๋“ฑ์œผ๋กœ ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ๋ณด๊ณ ๋˜๊ณ  ์žˆ์ง€๋งŒ ์•„์ง ๊ทธ์— ๋”ฐ๋ฅธ ์„ฑ๋Šฅ์„ ๋ถ„์„ํ•˜๋Š” ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์ƒํ™ฉ์ด๋‹ค. ์ž‰ํฌ์ ฏ ํ”„๋ฆฐํŒ… ๊ธฐ์ˆ ์„ ์ด์šฉํ•œ ๊ณ ์„ฑ๋Šฅ ์–‘์ž์  ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ์˜ ์ œ์ž‘์„ ์œ„ํ•ด์„œ๋Š” ๋ช‡ ๊ฐ€์ง€ ๋„์ „๊ณผ์ œ๊ฐ€ ์žˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋Š” ์ปคํ”ผ๋ง ํšจ๊ณผ์™€ ๋‚ฎ์€ ๋Ÿฌํ”„๋ฆฌ์Šค๋ฅผ ๋‚ฎ์ถ”๋Š” ๊ท ์ผํ•œ ๋ฐ•๋ง‰ํ˜•์„ฑ์ด๋‹ค. ๋‘ ๋ฒˆ์งธ๋Š” ๋…ธ์ฆ ํด๋กœ๊น…, ๋จธ์‹  ํ”๋“ค๋ฆผ, ์˜ค๋ฅ˜๋ฐœ์ƒ ๋“ฑ์— ์˜ํ•œ ๋…ธ์ฆ์—์„œ ์‚ฌ์ถœ๋œ ๋ฐฉ์šธ์˜ ๊ฐ๋„๋ณ€ํ™”๋กœ ์ธํ•œ ํ”„๋ฆฐํŒ… ์‹คํŒจ์ด๋‹ค. ์ด๋กœ์จ ๋ฏธ์Šค-์—์ด๋ฐ๊ณผ ์˜ค๋ฒ„ํ”Œ๋กœ์šฐ๊ฐ€ ๋ฐœ์ƒํ•œ๋‹ค. ์„ธ ๋ฒˆ์งธ๋Š” ๋…ธ์ฆ์—์„œ ์•ˆ์ •๋œ ๋“œ๋ž์„ ํ˜•์„ฑํ•˜๊ธฐ ์œ„ํ•œ ์ œํ„ฐ๋นŒ๋ฆฌํ‹ฐ์ด๋‹ค. ์ด๋Š” ์ ๋„, ํ‘œ๋ฉด์žฅ๋ ฅ, ๋‚ด๋ถ€ ์žฅ๋ ฅ์— ์˜ํ•ด์„œ ๊ฒฐ์ •์ง€์–ด์ง„๋‹ค. ๋งˆ์ง€๋ง‰์€ ์šฉ๋งค ์ œํ•œ์ธ๋ฐ, ์•„๋ž˜ ์ธต์„ ๋…น์ด์ง€ ์•Š์œผ๋ฉด์„œ ์–‘์ž์  ์—‰ํ‚ด์„ ๋ง‰์œผ๋ฉฐ ์‚ฌ๋žŒ์—๊ฒŒ ์œ ํ•ดํ•˜์ง€ ์•Š์„ ์กฐ๊ฑด์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด์•ผ ํ•œ๋‹ค. ์ž‰ํฌ์ ฏ ์–‘์ž์  ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ์˜ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด ์šฉ๋งค ํ˜ผํ•ฉ๋ฌผ์„ ํ†ตํ•ด์„œ ๊ท ์ผํ•œ ์–‘์ž์  ํ•„๋ฆ„์„ ๋งŒ๋“ค๊ฑฐ๋‚˜ ํ‘œ๋ฉด ์—๋„ˆ์ง€๋ฅผ ๋ฐ”๊พธ๋ฉด์„œ ํ”„๋ฆฐํŒ… ์‹คํŒจ๋ฅผ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•ด์„œ ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์—ฐ๊ตฌ๋“ค์ด ์žˆ์—ˆ๋‹ค. ์ž‰ํฌ์ ฏ ์–‘์ž์  ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ์˜ ์‹ค์šฉ์ ์ธ ์‚ฌ์šฉ์„ ์œ„ํ•ด์„œ, ์ปคํ”ผ๋ง ํšจ๊ณผ์™€ ํ”„๋ฆฐํŒ… ์‹คํŒจ๋ฅผ ์ž‰ํฌ์ ฏ ์†Œ์ž์˜ ์„ฑ๋Šฅ๊ณผ ๊ด€๋ จํ•˜์—ฌ ํ•ด๊ฒฐํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์†Œ์ˆ˜์„ฑ์˜ ํด๋ฆฌ๋จธ๋ฅผ ํ”ฝ์…€ ๊ตฌ์กฐ๋ฌผ์ธ ๋ฑ…ํฌ๋กœ ์‚ฌ์šฉํ•ด์„œ ํ”„๋ฆฐํŒ… ์‹คํŒจ๋ฅผ ๋ณด์ƒํ•ด ํ”ฝ์…€ ๊ท ์ผ์„ฑ์„ ํ™•๋ณดํ•˜๊ณ , ํˆฌ๋ช…ํ•œ ํด๋ฆฌ๋จธ์ธ PMMA๊ฐ€ ํ๋”” ์ž‰ํฌ์— ์„ž์˜€์„ ๋•Œ ํ•„๋ฆ„ ๋ชจํฌ๋กœ์ง€ ๋ณ€ํ™”์™€ ๊ทธ ์ „๊ธฐ์  ์ƒํ–ฅ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์†Œ์ˆ˜์„ฑ ๊ฒฉ๋ฒฝ์„ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ, ๊ฐ๋„ ๋ณ€ํ™”๊ฐ€ ์žˆ๋Š” ํ”„๋ฆฐํŒ…๋œ ์–‘์ž์  ์ž‰ํฌ๊ฐ€ ๋ฑ…ํฌ ๋‚ด๋ถ€์— ์ž˜ ์œ„์น˜ํ•˜์˜€๊ณ  ๋ฐœ๊ด‘ ์˜์—ญ์— ๋ฒ—์–ด๋‚˜๋Š” ์˜ค๋ฒ„ํ”Œ๋กœ์šฐ๊ฐ€ ๋ฐฉ์ง€ํ•˜์˜€๋‹ค. ์ž˜ ํ˜•์„ฑ๋œ ์ž‰ํฌ๋Š” ์†Œ์ž์˜ ํ”ฝ์…€ ๊ท ์ผ์„ฑ์„ ํ–ฅ์ƒ์‹œ์ผฐ๊ณ , ๊ฒฐ๊ณผ์ ์ธ ์†Œ์ž์˜ ์„ฑ๋Šฅ์€ 5300 cd m-2 ์˜ ๋ฐ๊ธฐ์™€ 0.11 % ์˜ ์–‘์ž ํšจ์œจ์„ ๋‚ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋น„๊ต์  ๋‚ฎ์€ ์„ฑ๋Šฅ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์ด๋Š” ํ”„๋ฆฐํŒ… ์‹คํŒจ์˜ ์ €ํ•ญ์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๊ณ , ์ •๊ตํ•œ ์ตœ์ ํ™”๋ฅผ ํ†ตํ•˜๋ฉด ์†Œ์ž ์„ฑ๋Šฅ์ด ๋ณด๋‹ค ๋‚˜์€ ํ–ฅ์ƒ์„ ๋ณด์ผ ๊ฒƒ์ด๋ผ ์ƒ๊ฐํ•œ๋‹ค. ๋˜ํ•œ, ์–‘์ž์  ์ž‰ํฌ์— PMMA๋ฅผ ์ฒจ๊ฐ€ํ–ˆ์„ ๋•Œ, ์–‘์ž์ -ํด๋ฆฌ๋จธ ํ˜ผํ•ฉ ์ž‰ํฌ๋Š” ์ปคํ”ผ๋ง ํšจ๊ณผ๋ฅผ ์ค„์ผ ์ˆ˜ ์žˆ์—ˆ๊ณ  ๊ท ์ผํ•œ ๋ฐ•๋ง‰์„ ํ˜•์„ฑํ•˜์˜€๋‹ค. ๋ฑ…ํฌ ๊ฒฉ๋ฒฝ์˜ ์Œ“์ž„ ํ˜„์ƒ ๋˜ํ•œ ์ถ”๊ฐ€์ ์ธ ํด๋ฆฌ๋จธ ๋งˆ๋ž‘๊ณ ๋‹ˆ ํšจ๊ณผ๋ฅผ ํ†ตํ•˜์—ฌ ์ค„์ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ฒŒ๋‹ค๊ฐ€, ์ ์ ˆํ•œ ํด๋ฆฌ๋จธ ์ฒด์ธ ๊ธธ์ด์˜ PMMA๋Š” ํ‘œ๋ฉด ๊ฑฐ์น ๊ธฐ๋ฅผ ์ค„์—ฌ์„œ, ์†Œ์ž์˜ ์„ฑ๋Šฅ๋„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ฒฐ๊ณผ์ ์ธ ์ž‰ํฌ์ ฏ ์–‘์ž์  ๋ฐœ๊ด‘๋‹ค์ด์˜ค๋“œ๋Š” 73360 cd m-2 ์˜ ๋ฐ๊ธฐ์™€ 2.8 % ์˜ ์–‘์žํšจ์œจ๋กœ, ํด๋ฆฌ๋จธ ์ฒจ๊ฐ€๋ฌผ์„ ๋„ฃ์ง€ ์•Š์€ ์ž‰ํฌ์ ฏ ์–‘์ž์  ์†Œ์ž์˜ ๋น„ํ•ด ๋ˆˆ์— ๋„๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ๊ฐœ๋ฐœ๋œ ์–‘์ž์  ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ์˜ ์†Œ์ž ๊ฒฉ๋ฒฝ ๊ตฌ์กฐ์™€ ์–‘์ž์  ํด๋ฆฌ๋จธ ํ˜ผํ•ฉ ์ž‰ํฌ์— ๋Œ€ํ•œ ๊ฒฐ๊ณผ๋Š” ๊ณ ํšจ์œจ ์ž‰ํฌ์ ฏ ์–‘์ž์  ๋ฐœ๊ด‘๋‹ค์ด์˜ค๋“œ์˜ ์‹คํ˜„์— ํฐ ๋„์›€์ด ๋  ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค.Colloidal quantum dot light-emitting diodes (QLED) are promising next-generation displays, exhibiting excellence in color purity, low material cost possibility, brightness. Quantum dots, which have many advantages, require patterning technology because of their colloidal status. Various patterning method for colloidal QD have been proposed using drop-casting, mist coating, transfer printing, inkjet printing. Drop casting method can fabricate fast but having weakness in large area process. Mist coating method might be made a monolayer deposition with high accuracy but difficulty in high resolution. Transfer printing method is possible to highest resolution patterning in technologies but having an ink contamination issue. However, ink-jet printing technology is emerging interest for the fabrication of QLEDs because of advantages such as high-resolution pattern possibility, fast processability and tiny material usage by drop-on-demand process. To fabricate high performance QLEDs using inkjet-printing technology, there are some challenges. First is morphology issue which goal is achieving a uniform film deposition against coffee ring effect and bad roughness. Second is a printing failure, which considering accurate positioning of the ink droplet against the angular deviation of the droplet leaving nozzle of the inkjet cartridge. This droplet deflection may be caused by nozzle clogging, machine tremor and error occurrence in inkjet-printing machine, and it leads to two problem such as mis-aiming and overflow. Third is a jeattability for forming a stable drop at nozzle. This is determined by rheological parameters such as viscosity, inertial force, and surface tension. Final is solvent limits which are not dissolving the underlayer, preventing QD aggregation and toxicity to human. There have been studies related to enhancement of inkjet printed QLED by using solvent mixture to form uniform film or using hydrophobic walls to prevent from mis-aiming and overflow, but the reported performance of inkjet-printed QLED is still low. For the practical use of inkjet-printed QLEDs, it is prerequisite to resolve the morphology issue against coffee-ring effect and the printing failure in the relation with the performance of inkjet printed device. In this study, we improved the EQE and CE of inkjet-printed QLED device using hydrophobic walls and QD-polymer composite ink. Hydrophobic walls are used making the droplet positing precise within the bank and it is evaluated a photolithographic property and the resistivity on the printing failure of this material. QD-polymer composite ink can increase viscosity of ink and induce the additional polymer Marangoni effect. When using hydrophobic walls, printed QD ink with the angular deviation is positioned well in the bank and prevent from the overflow out of emission area. Well defined ink induces the pixel uniformity of devices and resulted QLED exhibit the maximum luminance of 5300 cd m-2 and the external quantum efficiency of 0.11 %. Despite of these relatively low performance, it shows the resistivity of printing failure, so I believe it can be further improved through elaborated optimization. Also, when PMMA is added in the QD ink, the QDโ€“polymer composite ink can reduce the coffee-ring effect and form a uniform thin film. Pile-up at the bank wall is also reduced by additional polymer Marangoni effect. In addition, PMMA of suitable polymer chain length can reduce the surface roughness, thereby improving the morphological properties of the thin film. The resulting inkjet-printed QLED emit the highest luminance of 73360 cd m-2 and the external quantum efficiency of 2.8 %, which are conspicuously higher than that of the inkjet-printed QLED without polymer additives. These results in this thesis show the impact of printing accuracy and uniform film formation, and suggest these methods will promise the high performance of inkjet printed QLEDsChapter 1 Introduction 0 1.1 Colloidal Quantum Dots 0 1.2 Fabrication Technology of QLEDs 5 1.3 Key Issues for Inkjet-printed QLED Performance 7 1.4 Outline of Thesis 9 Chapter 2. Experimental Methods 13 2.1 Materials 13 2.1.1 Red-color Emitting CdSe/Zn1-XCdXS Core/shell Heterostructured Quantum Dots 13 2.1.2 Fluorinated photopolymer, PFBI. 15 2.1.4 Organic Material 15 2.1.3 Preparation of ZnO Nanoparticels 17 2.2 Device Fabrication and Characterization Methods 17 2.2.1 Device Fabrication 17 2.2.2 Current-voltage-luminance Measurement 18 2.2.3 Efficiency Calculation Methods 21 2.2.3 Other Characterization Methods 21 2.3 Theory 24 2.2.1 Surface Energy Analysis 24 2.2.2 Coffee Ring Effect and Capillary Flow 25 2.2.3 Marangoni Flow 26 Chapter 3. Printing Accuracy Improvement of Inkjet-printed QLED with Engineered Bank using PFBI as Highly Fluorinated Photopolymer 27 3.1 Introduction 30 3.2 Evalution of Pixelated Structure with PFBI 30 3.3.1 Highly Fluorinated Photopolymer, PFBI for Inkjet-printed QLEDs 32 3.3.2 Characteristics of Pixelated Structure made of PFBI 33 3.3 Evalution of QD Inks on Pixelated Structure with PFBI 38 3.3.1 Morphology Properties of QD Inks on Pixelated PFBI Structure 40 3.3.2 Characteristics of Inkjet-printed QLED using PFBI 43 3.3 Summary 47 Chapter 4. Efficiency Improvement of Inkjet-printed QLEDs Employing Polymer Additives 48 4.1 Introduction of Inkjet-printed QLEDs 50 4.2 Evaluation of QD-PMMA Composite Ink on Planar Substrate 54 4.2.1 QD-PMMA Composite Ink for Reducing Coffee Ring Effect 54 4.2.2 Morphology Uniformity of QD Droplet Film using PMMA Additives 59 4.3 Evaluation of QD-PMMA Composite Ink on Pixelated Structure 64 4.3.1 Morphology Properties of QD Inks on Pixelated Structure 64 4.3.2 Electrical Characteristics of Inkjet-printed QLEDs Employing PMMA Additives 68 4.6 Summary 77 Chapter 5 78 Bibilography 81 ํ•œ๊ธ€ ์ดˆ๋ก 86Docto

    Holographic Particle Image Velocimetry of Ink Jet Streams

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    Ink jet technology is a rapidly growing and diverse field of research. Ink jets are used to deliver very precise and small (picolitre) volumes of fluid to a surface. Recent advances in ink jet technology demand a better understanding of the dynamics of the fluid during jetting. The aim of this project was to design a method capable of measuring the flow velocities inside ink jet streams. This objective has been achieved by the use of digital holographic particle image velocimetry. The difficulty with measuring flows inside tightly curved samples is that the refractive index change over the boundary leads to an optical distortion and therefore particles cannot be viewed or tracked reliably. Optical distortion is compensated for by taking advantage of the ability to replay a holographically recorded wave. The light scattered by particles is propagated numerically back through the sampleโ€™s surface, to form a three-dimensional image in which all refractions at the interface have been accounted for. Three dimensional particle fields are then analysed using custom particle detection and correlation code to extract the displacement of individual particles between exposures, which facilitates the construction of full flow profiles. Holograms were recorded with a simple off-axis holographic microscope, comprising two point sources of divergent light, formed from the same objective lens, acting as the source of illumination and reference light, respectively. Experiments were conducted on continuous ink jet streams of water issuing from a nozzle with 100 ยตm diameter. For a few millimetres after the nozzle exit, the jet is cylindrical, it then starts to form swells and necks; the swells continue to grow at the expense of the necks until the jet breaks up into a stream of droplets. Measurements of the stream wise component of velocity have been successful in the cylindrical parts of the jet, in swells and in necks greater than 20 ยตm in diameter. To my knowledge measurements of particle velocities on fluid jets at this scale have not been accomplished previously

    An Investigation into the relationship between contrast and resolution of a printing system using the RIT contrast resolution test target

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    A problem arises when different printing systems are used to print images. Different systems have considerably different contrast and resolution capabilities while an individual printing system might have a low resolution capability, the system may have the ability to render low contrast detail. Similarly, if a printing system has a high resolution capability, it does not necessarily mean that such a system has the ability to render low contrast detail well. Such contrast and resolution restrictions may be attributed to the capabilities of the PostScript interpreter, the screening method used by the RIP, the image transfer method of the output device, the substrate used, or a combination of these factors. The RIT Contrast Resolution Test Target has been developed to measure the relationship between contrast and resolution of a printing system. The target measures the contrast-resolution capability of the printing system in both the horizontal and vertical print direction of the printing device. A graph can be plotted to show the Contrast Sensitivity (CS) for the printing system. From this distribution, a contrastresolution- volume (CRV) can be calculated to produce a quantitative contrast-resolution measurement for an individual printing system. The hypothesis of this thesis is that the RIT Contrast Resolution Test Target can provide a method of discriminating the CRV of marking engines and screening methods by using analysis methods intended for use with the target. The target was printed on several printing systems. 12 observers were used to measure the target. The observers were given instruction on proper target reading, and their observations were recorded as CRV measurements. The CRV values for all colors from each system were averaged for each observer. The averaged data was entered into a two-way ANOVA test, where the two dimensions in the test were systems and observers. The results of the ANOVA test showed that there was significant variance in the average CRV values from each system, and the hypothesis of this thesis was accepted. In addition, the ANOVA test indicated that there was significant variance between the observers readings. Although each observer used a different judging criteria, it was concluded that the observers evaluated the different systems relative to one and other in almost the same sequence

    Inkjet printing digital image generation and compensation for surface chemistry effects

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    Additive manufacturing (AM) of electronic materials using digital inkjet printing (DIJP) is of research interests nowadays because of its potential benefits in the semiconductor industry. Current trends in manufacturing electronics feature DIJP as a key technology to enable the production of customised and microscale functional devices. However, the fabrication of microelectronic components at large scale demands fast printing of tight features with high dimensional accuracy on substrates with varied surface topography which push inkjet printing process to its limits. To understand the DIJP droplet deposition on such substrates, generally requires computational fluid dynamics modelling which is limited in its physics approximation of surface interactions. Otherwise, a kind of โ€œtrial and errorโ€ approach to determining how the ink spreads, coalesce and solidifies over the substrate is used, often a very time-consuming process. Consequently, this thesis aims to develop new modelling techniques to predict fast and accurately the surface morphology of inkjet-printed features, enabling the optimisation of DIJP control parameters and the compensation of images for better dimensional accuracy of printed electronics devices. This investigation explored three categories of modelling techniques to predict the surface morphology of inkjet-printed features: physics-based, data-driven and hybrid physics-based and data-driven. Two physics-based numerical models were developed to reproduce the inkjet printing droplet deposition and solidification processes using a lattice Boltzmann (LB) multiphase flow model and a finite element (FE) chemo-mechanical model, respectively. The LB model was limited to the simulation of single tracks and small square films and the FE model was mainly employed for the distortion prediction of multilayer objects. Alternatively, two data-driven models were implemented to reconstruct the surface morphology of single tracks and free-form films using images from experiments: image analysis (IA) and shape from shading (SFS). IA assumed volume conservation and minimal energy drop shape to reconstruct the surface while SFS resolved the height of the image using a reflection model. Finally, a hybrid physics-based and data-driven approach was generated which incorporates the uncertainty of droplet landing position and footprint, hydrostatic analytical models, empirical correlations derived from experiments, and relationships derived from physics-based models to predict fast and accurately any free-form layer pattern as a function of physical properties, printing parameters and wetting characteristics. Depending on the selection of the modelling technique to predict the deformed geometry, further considerations were required. For the purely physics-based and data-driven models, a surrogate model using response surface equations was employed to create a transfer function between printing parameters, substrate wetting characteristics and the resulting surface morphology. The development of a transfer function significantly decreased the computational time required by purely physics-based models and enabled the parameter optimisation using a multi-objective genetic algorithm approach to attain the best film dimensional accuracy. Additionally, for multilayer printing applications, a layer compensation approach was achieved utilizing a convolutional neural network trained by the predicted (deformed) geometry to reduce the out of plane error to target shape. The optimal combination of printing parameters and input image compensation helped with the generation of fine features that are traditionally difficult for inkjet, improved resolution of edges and corners by reducing the amount of overflow from material, accounted for varied topography and capillary effects thereof on the substrate surface and considered the effect of multiple layers built up on each other. This study revealed for the first time to the best of our knowledge the role of the droplet location and footprint diameter uncertainty in the stability and uniformity of printed features. Using a droplet overlap map which was proposed as a universal technique to assess the effect of printing parameters on pattern geometry, it was shown that reliable limits for break-up and bulging of printed features were obtained. Considering droplet position and diameter size uncertainties, predicted optimal printing parameters improved the quality of printed films on substrates with different wettability. Finally, a stability diagram illustrating the onset of bulging and separation for lines and films as well as the optimal drop spacing, printing frequency and stand-off distance was generated to inform visually the results. This investigation has developed a predictive physics-based model of the surface morphology of DIJP features on heterogeneous substrates and a methodology to find the printing parameters and compensate the layer geometry required for optimum part dimensional accuracy. The simplicity of the proposed technique makes it a promising tool for model driven inkjet printing process optimization, including real time process control and paves the way for better quality devices in the printed electronics industry

    ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์œผ๋กœ์˜ ์‘์šฉ์„ ์œ„ํ•œ 3D ํ”„๋ฆฐํŒ… ๊ธฐ๋ฐ˜ ๋งž์ถคํ˜• ๊ด‘ํ•™ ์š”์†Œ์˜ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ํ™์šฉํƒ.์ผ๋ฐ˜์ ์œผ๋กœ ์ œ์กฐ ๊ณต์ •์€ ์ ˆ์‚ญ ๋ฐฉ์‹๊ณผ ์ ์ธต ๋ฐฉ์‹์œผ๋กœ ๊ตฌ๋ถ„๋œ๋‹ค. ์ด ์ค‘์—์„œ ์ ์ธต ๋ฐฉ์‹ ๊ณต์ •์€ ์ €๋น„์šฉ ๋ฐ ๋‹จ์‹œ๊ฐ„์œผ๋กœ ๋ณต์žกํ•œ ํ˜•ํƒœ์˜ ๊ตฌ์กฐ๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ์–ด์„œ ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ์™€ ๊ฐœ๋ฐœ์ด ๊พธ์ค€ํžˆ ์ง„ํ–‰๋˜์–ด์™”๋‹ค. ํŠนํžˆ 3D ํ”„๋ฆฐํŒ…์€ ์ ์ธต ๋ฐฉ์‹ ๊ณต์ • ์ค‘์—์„œ ๊ฐ€์žฅ ๋Œ€ํ‘œ์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ, ๊ธฐ๊ณ„ ๋ถ€ํ’ˆ ๋ฐ ์ƒ์ฒด ๊ธฐ๊ด€ ์ œ์กฐ ๋“ฑ์˜ ๋ถ„์•ผ์—์„œ๋Š” ์ด๋ฏธ ์ƒ์šฉํ™”๊ฐ€ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ „์ž ์†Œ์ž ๋ฐ ๊ด‘ํ•™ ์š”์†Œ ๋ถ„์•ผ์—์„œ์˜ 3D ํ”„๋ฆฐํŒ…์˜ ํ™œ์šฉ์€ ์—ฌ์ „ํžˆ ์—ฐ๊ตฌ ๊ฐœ๋ฐœ ๋˜๋Š” ์‹œ์ œํ’ˆ ์ œ์ž‘ ๋‹จ๊ณ„์— ๋จธ๋ฌด๋ฅด๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ๋งˆ์ดํฌ๋กœ ๋ Œ์ฆˆ, ์ปฌ๋Ÿฌ ํ•„ํ„ฐ ๋“ฑ์ด 3D ํ”„๋ฆฐํŒ…์œผ๋กœ ์‘์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€์žฅ ๊ฐ€๋Šฅ์„ฑ ์žˆ๋Š” ๊ด‘ํ•™ ์š”์†Œ๋กœ์„œ ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์— ๋„๋ฆฌ ์‚ฌ์šฉ๋  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜์ง€๋งŒ ์—ฌ์ „ํžˆ ์ƒ์šฉํ™”๋ฅผ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰ ์ค‘์ด๋‹ค. ๋˜ํ•œ 3D ํ”„๋ฆฐํŒ…์„ ์ด์šฉํ•œ ๊ด‘ํ•™ ์š”์†Œ์˜ ์ œ์ž‘์€ ์†Œ์žฌ, ๊ธธ์ด ์Šค์ผ€์ผ, ํ˜•์ƒ ๋ฐ ์‘์šฉ ๋ฐฉ์•ˆ ๋“ฑ์—์„œ๋„ ์ œํ•œ์ด ๋งŽ์€ ์ƒํ™ฉ์ด๋‹ค. ๋”ฐ๋ผ์„œ ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์—์„œ์˜ 3D ํ”„๋ฆฐํŒ… ๋œ ๊ด‘ํ•™ ์š”์†Œ์˜ ์œ ์šฉ์„ฑ์„ ํ™•์žฅํ•ด์•ผ ํ•˜๋ฉฐ, ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์„ธ ๊ฐ€์ง€ ์ธก๋ฉด์—์„œ ํ–ฅ์ƒ๋œ ์„ฑ๋Šฅ์„ ๋‹ฌ์„ฑํ•ด์•ผ ํ•œ๋‹ค. ์ฒซ์งธ, ๋‹ค์–‘ํ•œ ๋ฐฉ์‹์˜ 3D ํ”„๋ฆฐํŒ… ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋งˆ์ดํฌ๋กœ๋ฏธํ„ฐ์—์„œ ์„ผํ‹ฐ๋ฏธํ„ฐ๊นŒ์ง€ ๊ด‘๋ฒ”์œ„์˜ ๊ธธ์ด ์Šค์ผ€์ผ์„ ๊ฐ€์ง€๋Š” ๊ตฌ์กฐ๋ฌผ์˜ ์ œ์ž‘์ด ๊ฐ€๋Šฅํ•ด์•ผ ํ•œ๋‹ค. ๋‘˜์งธ, ์ž„์˜์˜ ๊ณก๋ฉด, ๊ณ„์ธต์  ๊ตฌ์กฐ ๋“ฑ ๋ณต์žกํ•œ ํ˜•์ƒ์˜ ๊ตฌ์กฐ๋ฌผ์„ ์‰ฝ๊ฒŒ ์ œ์ž‘ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ์…‹์งธ, ๋‹จ๋‹จํ•œ ์†Œ์žฌ ๋Œ€์‹  ํƒ„์„ฑ์ฒด์™€ ๊ฐ™์€ ์†Œํ”„ํŠธ ์†Œ์žฌ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ด‘ํ•™์ ์ธ ๊ธฐ๋Šฅ์„ ์šฉ์ดํ•˜๊ฒŒ ์กฐ์ ˆํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ์ด์™€ ๊ฐ™์€ ๋™๊ธฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ๋Š” ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์œผ๋กœ์˜ ์‘์šฉ์„ ์œ„ํ•œ 3D ํ”„๋ฆฐํŒ… ๊ธฐ๋ฐ˜ ๋งž์ถคํ˜• ๊ด‘ํ•™ ์š”์†Œ์˜ ๊ฐœ๋ฐœ์— ๋Œ€ํ•œ ๋‚ด์šฉ์„ ๋ณด๊ณ ํ•œ๋‹ค. 3D ํ”„๋ฆฐํŒ… ๊ธฐ๋ฐ˜ ๊ด‘ํ•™ ์š”์†Œ๋ฅผ ๋งคํฌ๋กœ ์Šค์ผ€์ผ, ๋งˆ์ดํฌ๋กœ ์Šค์ผ€์ผ ๊ทธ๋ฆฌ๊ณ  ๋งคํฌ๋กœ ๋ฐ ๋งˆ์ดํฌ๋กœ ์Šค์ผ€์ผ์ด ํ˜ผํ•ฉ๋œ ๊ณ„์ธต์  ๊ตฌ์กฐ ๋“ฑ ์„ธ ๊ฐ€์ง€ ์œ ํ˜•์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜๊ณ  ๊ฐ๊ฐ์— ๋Œ€ํ•œ ์‘์šฉ ๋ถ„์•ผ๋ฅผ ์ œ์‹œํ•œ๋‹ค. ๋งคํฌ๋กœ ์Šค์ผ€์ผ์˜ ๊ด‘ํ•™ ์š”์†Œ๋กœ๋Š” ๊ฐ€์žฅ ๊ธฐ๋ณธ์ ์ธ ์š”์†Œ์ธ ๋ Œ์ฆˆ์™€ ๊ฑฐ์šธ์„ ์„ ํƒํ•œ๋‹ค. ๋ Œ์ฆˆ๋Š” ๊ณต์••์‹ ๋””์ŠคํŽœ์‹ฑ ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ์‹ค๋ฆฐ๋“œ๋ฆฌ์ปฌ ์Œ ํ˜•ํƒœ๋กœ ์ œ์ž‘๋˜์—ˆ์œผ๋ฉฐ, ์‹ฌ๋ฆฌ์Šค ๋ชจ๋“ˆ๋Ÿฌ ํ‰ํŒ์‹ ๋””์Šคํ”Œ๋ ˆ์ด์˜ ๊ตฌํ˜„์„ ์œ„ํ•ด ์ ์šฉ๋œ๋‹ค. ๋˜ํ•œ ์šฉ์œต ์ ์ธต ๋ฐฉ์‹์˜ 3D ํ”„๋ฆฐํŒ…์œผ๋กœ ๋งŒ๋“ค์–ด์ง„ ๋ชฐ๋“œ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฑฐ์šธ์„ ์ œ์ž‘ํ•˜๊ณ , ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ ์‹ฌ๋ฆฌ์Šค ๋ชจ๋“ˆ๋Ÿฌ ์ปค๋ธŒ๋“œ ์—ฃ์ง€ ๋””์Šคํ”Œ๋ ˆ์ด๋ฅผ ๊ตฌํ˜„ํ•œ๋‹ค. ์ด์™€ ๊ฐ™์ด ๋ชจ๋“ˆ๋Ÿฌ ๋””์Šคํ”Œ๋ ˆ์ด์˜ ์ด์Œ์ƒˆ ๋ถ€๋ถ„์— 3D ํ”„๋ฆฐํŒ…์œผ๋กœ ์ œ์ž‘๋œ ๋ Œ์ฆˆ ๋˜๋Š” ๊ฑฐ์šธ์„ ๋ถ€์ฐฉํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ํ™”๋ฉด์„ ์‹ฌ๋ฆฌ์Šค๋กœ ํ™•์žฅํ•˜๋Š” ๊ธฐ์ˆ ์„ ์ œ์‹œํ•˜๊ณ , ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ๋””์Šคํ”Œ๋ ˆ์ด์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋งˆ์ดํฌ๋กœ ์Šค์ผ€์ผ์˜ ๊ด‘ํ•™ ์š”์†Œ๋กœ๋Š” ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ์—์„œ ์ƒ‰ ๋ณ€ํ™˜๊ณผ ๊ด‘ ์ถ”์ถœ ๊ธฐ๋Šฅ์„ ๋™์‹œ์— ๋‚˜ํƒ€๋‚ด๋Š” ์ƒ‰ ๋ณ€ํ™˜ ๋งˆ์ดํฌ๋กœ ๋ Œ์ฆˆ๋ฅผ ์„ ํƒํ•œ๋‹ค. ์–‘์ž ์ /๊ด‘ ๊ฒฝํ™”์„ฑ ๊ณ ๋ถ„์ž ๋ณตํ•ฉ์ฒด์˜ ์ „๊ธฐ์ˆ˜๋ ฅํ•™์  ํ”„๋ฆฐํŒ…์„ ํ†ตํ•ด ์–‘์ž ์ ์ด ๋‚ด์žฅ๋œ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์ƒ‰ ๋ณ€ํ™˜ ๋งˆ์ดํฌ๋กœ ๋ Œ์ฆˆ๋ฅผ ์ œ์ž‘ํ•˜๋ฉฐ, ์ด๋ฅผ ์ฒญ์ƒ‰ ๋งˆ์ดํฌ๋กœ ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ ์–ด๋ ˆ์ด์˜ ๋ฐœ๊ด‘๋ถ€ ์ƒ์— ์ ์šฉํ•˜์—ฌ ํ’€ ์ปฌ๋Ÿฌ ๋งˆ์ดํฌ๋กœ ๋ฐœ๊ด‘ ๋‹ค์ด์˜ค๋“œ ๋””์Šคํ”Œ๋ ˆ์ด๋กœ์˜ ์‘์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋งคํฌ๋กœ ๋ฐ ๋งˆ์ดํฌ๋กœ ์Šค์ผ€์ผ์ด ํ˜ผํ•ฉ๋œ ๊ณ„์ธต์  ๊ตฌ์กฐ์˜ ๊ด‘ํ•™ ์š”์†Œ๋กœ์„œ ๋””์ŠคํŽœ์‹ฑ ๋ฐ ๊ฑด์‹ ๋Ÿฌ๋น™ ๊ณผ์ •์˜ ์กฐํ•ฉ์œผ๋กœ ์ œ์ž‘๋œ ๊ฒน๋ˆˆ ํ˜•ํƒœ๋ฅผ ๋ชจ์‚ฌํ•œ ๋ Œ์ฆˆ ๊ตฌ์กฐ๋ฅผ ์ œ์‹œํ•œ๋‹ค. ๋ฐ˜๊ตฌ ํ˜•ํƒœ์˜ ๋งคํฌ๋กœ ๋ Œ์ฆˆ๋ฅผ ๋””์ŠคํŽœ์‹ฑ์œผ๋กœ ํ˜•์„ฑํ•˜๊ณ , ๋งคํฌ๋กœ ๋ Œ์ฆˆ์˜ ๊ณก๋ฉด ์ƒ์— ๋‹จ์ธต์˜ ๋งˆ์ดํฌ๋กœ ์ž…์ž์˜ ๋ฐฐ์—ด์„ ์–ป๊ธฐ ์œ„ํ•ด ๊ฑด์‹ ๋Ÿฌ๋น™ ๊ณต์ •์„ ์ง„ํ–‰ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฉ์‹์œผ๋กœ ํ˜•์„ฑ๋œ ๊ณ„์ธต์  ๊ตฌ์กฐ๊ฐ€ ์†Œํ”„ํŠธํ•œ ์†Œ์žฌ๋กœ ๋ณต์ œ๋˜์–ด์„œ ์‹ ์ถ•์„ฑ์„ ๊ฐ€์ง€๋Š” ๊ฒน๋ˆˆ ํ˜•ํƒœ ๋ชจ์‚ฌ ๊ตฌ์กฐ๊ฐ€ ์™„์„ฑ๋œ๋‹ค. ๋งˆ์ดํฌ๋กœ ๋ Œ์ฆˆ ์–ด๋ ˆ์ด๋Š” ๋งคํฌ๋กœ ๋ Œ์ฆˆ์˜ ํ‘œ๋ฉด์„ ๋”ฐ๋ผ ํ˜•์„ฑ๋˜๊ณ  ๋ฆฌ์ง€๋“œ ์•„์ผ๋žœ๋“œ๋กœ ์—ญํ• ์„ ํ•˜์—ฌ, ์ „์ฒด ๊ณ„์ธต์  ๊ตฌ์กฐ์— ๊ธฐ๊ณ„์  ๋ณ€ํ˜•์ด ๊ฐ€ํ•ด์ ธ ๋งคํฌ๋กœ ๋ Œ์ฆˆ์˜ ๋ชจ์–‘์ด ๋ณ€ํ˜•๋˜์–ด๋„ ๋งˆ์ดํฌ๋กœ ๋ Œ์ฆˆ๋Š” ํ˜•์ƒ๊ณผ ํ•ด์ƒ๋„, ์ดˆ์  ๊ฑฐ๋ฆฌ ๋“ฑ์˜ ๊ด‘ํ•™์  ํŠน์„ฑ์„ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ํ•™์œ„ ๋…ผ๋ฌธ์€ 3D ํ”„๋ฆฐํŒ…์„ ์ด์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์™€ ์Šค์ผ€์ผ์˜ ๊ด‘ํ•™ ์š”์†Œ๋ฅผ ์ œ์ž‘ํ•˜๊ณ  ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์œผ๋กœ์˜ ์—ฌ๋Ÿฌ ์‘์šฉ์„ ๋ณด์—ฌ์คŒ์œผ๋กœ์„œ ์•ž์œผ๋กœ์˜ ์ƒˆ๋กœ์šด ์—ฐ๊ตฌ ๋ฐ ๊ฐœ๋ฐœ ๋ฐฉํ–ฅ์„ฑ์„ ์ œ์‹œํ•˜๋Š” ๊ฒƒ์„ ์ฃผ์š” ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. 3D ํ”„๋ฆฐํŒ… ์„ค๋น„์˜ ๋‹จ๊ฐ€๊ฐ€ ๋‚ฎ์•„์ง€๊ณ  ์ •๋ฐ€๋„ ๋ฐ ํ•ด์ƒ๋„๊ฐ€ ๋†’์•„์ง€๋Š” ์ถ”์„ธ์— ๋”ฐ๋ผ, ๊ด‘ํ•™ ์š”์†Œ๋ฅผ ์‰ฝ๊ฒŒ ๋งŒ๋“ค๊ณ  ์‘์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋งž์ถคํ˜• ๊ด‘ํ•™ ๋˜๋Š” ์Šค์Šค๋กœ ๊ตฌํ˜„ํ•˜๋Š” ๊ด‘ํ•™ ๋ถ„์•ผ๊ฐ€ ๋ณ€ํ˜• ๊ฐ€๋Šฅํ•˜๊ณ  ๋ฉ€ํ‹ฐ ์Šค์ผ€์ผ์˜ ๊ด‘ํ•™๊ณ„๋กœ ์ ์ฐจ ํ™•๋Œ€๋  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ๊ถ๊ทน์ ์œผ๋กœ๋Š” ์ฐจ์„ธ๋Œ€ ๋””์Šคํ”Œ๋ ˆ์ด ๋ฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์— ํ•„์š”ํ•œ ๊ด‘ํ•™ ์š”์†Œ๋ฅผ ์œ„ํ•œ ๊ธฐ์ˆ ์˜ ์ €๋ณ€์„ ๋„“ํžˆ๊ณ , ์ด๋ฅผ ์‚ฐ์—… ์ „๋ฐ˜์— ์‘์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋ฐ˜์„ ๋งˆ๋ จํ•˜๊ณ ์ž ํ•œ๋‹ค.Generally, the manufacturing process is divided into the subtractive (top-down) type and additive type (bottom-up). Among them, the additive manufacturing process has attracted a lot of attention because it can manufacture products with complex shapes in a low-cost and short-time process. In particular, three-dimensional (3D) printing is a representative method, which has already been commercialized in the field of mechanical components and biomedical organ. However, it remains in the research and development step in the field of electronic devices and optical components. Especially, although 3D printed optical components including microlens and color filter are expected to be widely used in display and imaging systems, it is still under investigation for commercialized products, and there are limitations in terms of materials, length scale, shape, and practical applications of components. Therefore, to overcome these issues, it is required for investigating and expanding the potential usefulness for 3D printed optical components in display and imaging systems to achieve better performance, productivity, and usability in three aspects. First, it should be possible to manufacture structures with a wide range of length scales from micrometer to centimeter through various 3D printing methods. Second, complex shapes such as free-from curved surfaces and hierarchical structures should be easily fabricated. Third, it is necessary to add functionality by manufacturing structures in which tunable functions are introduced using soft materials like an elastomer. Based on the above motivations, 3D printing-based customized optical components for display and imaging system applications are introduced in this dissertation. 3D printed optical components are classified into three types and their applications are showed to verify the scalability of 3D printing: macro-scale, microscale, and hierarchical macro/micro-scale. As macro-scale printed optical components, lens and mirror which are the most basic optical components are selected. The lens is fabricated by a pneumatic-type dispensing method with the form of a cylindrical pair and adopted for demonstration of seamless modular flat panel display. Besides, a seamless modular curved-edge display is also demonstrated with a mirror, which is fabricated from fused deposition modeling (FDM)-type 3D printed mold. By simply attaching a printed lens or mirror onto the seam of the modular display, it is possible to secure seamless screen expansion technology with the various form factor of the display panel. In the case of micro-scale printed optical components, the color-convertible microlens is chosen, which act as a color converter and light extractor simultaneously in a light-emitting diode (LED). By electrohydrodynamic (EHD) printing of quantum dot (QD)/photocurable polymer composite, QD-embedded hemispherical lens shape structures with various sizes are fabricated by adjusting printing conditions. Furthermore, it is applied to a blue micro-LED array for full-color micro-LED display applications. Finally, a tunable bio-inspired compound (BIC) eyes structure with a combination of dispensing and a dry-phase rubbing process is suggested as a hierarchical macro/micro-scale printed optical components. A hemispherical macrolens is formed by the dispensing method, followed by a dry-phase rubbing process for arranging micro particles in monolayer onto the curved surface of the macrolens. This hierarchical structure is replicated in soft materials, which have intrinsic stretchability. Microlens array is formed on the surface of the macrolens and acts as a rigid island, thereby maintaining lens shape, resolution, and focal length even though the mechanical strain is applied to overall hierarchical structures and the shape of the macrolens is changed. The primary purposes of this dissertation are to introduce new concepts of the enabling technologies for 3D printed optical components and to shed new light on them. Optical components can be easily made as 3D printing equipment becomes cheaper and more precise, so the field of Consumer optics or Do it yourself (DIY) optics will be gradually expanded on deformable and multi-scale optics. It is expected that this dissertation can contribute to providing a guideline for utilizing and customizing 3D printed optical components in next-generation display and imaging system applications.Chapter 1. Introduction 1 1.1. Manufacturing Process 1 1.2. Additive Manufacturing 4 1.3. Printed Optical Components 8 1.4. Motivation and Organization of Dissertation 11 Chapter 2. Macro-scale Printed Optical Components 15 2.1. Introduction 15 2.2. Seamless Modular Flat Display with Printed Lens 20 2.2.1. Main Concept 20 2.2.2. Experimental Section 23 2.2.3. Results and Discussion 26 2.3. Seamless Modular Curved-edge Display with Printed Mirror 32 2.3.1. Main Concept 32 2.3.2. Experimental Section 33 2.3.3. Results and Discussion 36 2.4. Conclusion 46 Chapter 3. Micro-scale Printed Optical Components 47 3.1. Introduction 47 3.2. Full-color Micro-LED Array with Printed Color-convertible Microlens 52 3.2.1. Main Concept 52 3.2.2. Experimental Section 54 3.2.3. Results and Discussion 57 3.3. Conclusion 65 Chapter 4. Hierarchical Macro/Micro-scale Printed Optical Components 66 4.1. Introduction 66 4.2. Tunable Bio-inspired Compound Eye with Printing and Dry-phase Rubbing Process 69 4.2.1. Main Concept 69 4.2.2. Experimental Section 71 4.2.3. Results and Discussion 73 4.3. Conclusion 79 Chapter 5. Conclusion 80 5.1. Summary 80 5.2. Limitations and Suggestions for Future Researches 83 References 88 Abstract in Korean (๊ตญ๋ฌธ ์ดˆ๋ก) 107Docto

    Color ink-jet printing: Evaluation of print quality on different paper substrates

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    Ink-jet printing has gained a dominant position among the technology choices for on demand generation of color hard copies from the computer. Reduction of ink-related problems, low cost, improved resolution, and less-demanding substrate requirements have become important advantages. This study\u27s primary objective is to evaluate, both subjectively and objectively, the effect of various paper properties on the quality of print obtained from a color ink-jet printer. The initial stage of this investigation involved a subjective evaluation of the different prints by a panel of observers. A dual scaling analysis of the subjective responses indicates that for the paper substrates selected, Color Density is the predominant attribute, with Sharpness constituting a lesser second attribute. The product of their respective objective measures, Density Range and Subjective Quality Factor (SQF) appears to be an easily-measurable, overall indicator of print quality. SQF is affected by opacity and brightness of the papers, while density range is affected by the smoothness. It also becomes evident that lower-quality xerographic paper results in better prints than premium xerographic papers under color ink-jet printing. With ink-jet printing, paper substrate affects all the main print quality factors including pattern, sharpness and color reproduction. This study also demonstrates that Penetration and Spreading are two related phenomena, yet are different in terms of their effect on print quality. Spreading can take place either on the surface of paper or inside the paper structure

    Inkjet printing digital image generation and compensation for surface chemistry effects

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    Additive manufacturing (AM) of electronic materials using digital inkjet printing (DIJP) is of research interests nowadays because of its potential benefits in the semiconductor industry. Current trends in manufacturing electronics feature DIJP as a key technology to enable the production of customised and microscale functional devices. However, the fabrication of microelectronic components at large scale demands fast printing of tight features with high dimensional accuracy on substrates with varied surface topography which push inkjet printing process to its limits. To understand the DIJP droplet deposition on such substrates, generally requires computational fluid dynamics modelling which is limited in its physics approximation of surface interactions. Otherwise, a kind of โ€œtrial and errorโ€ approach to determining how the ink spreads, coalesce and solidifies over the substrate is used, often a very time-consuming process. Consequently, this thesis aims to develop new modelling techniques to predict fast and accurately the surface morphology of inkjet-printed features, enabling the optimisation of DIJP control parameters and the compensation of images for better dimensional accuracy of printed electronics devices. This investigation explored three categories of modelling techniques to predict the surface morphology of inkjet-printed features: physics-based, data-driven and hybrid physics-based and data-driven. Two physics-based numerical models were developed to reproduce the inkjet printing droplet deposition and solidification processes using a lattice Boltzmann (LB) multiphase flow model and a finite element (FE) chemo-mechanical model, respectively. The LB model was limited to the simulation of single tracks and small square films and the FE model was mainly employed for the distortion prediction of multilayer objects. Alternatively, two data-driven models were implemented to reconstruct the surface morphology of single tracks and free-form films using images from experiments: image analysis (IA) and shape from shading (SFS). IA assumed volume conservation and minimal energy drop shape to reconstruct the surface while SFS resolved the height of the image using a reflection model. Finally, a hybrid physics-based and data-driven approach was generated which incorporates the uncertainty of droplet landing position and footprint, hydrostatic analytical models, empirical correlations derived from experiments, and relationships derived from physics-based models to predict fast and accurately any free-form layer pattern as a function of physical properties, printing parameters and wetting characteristics. Depending on the selection of the modelling technique to predict the deformed geometry, further considerations were required. For the purely physics-based and data-driven models, a surrogate model using response surface equations was employed to create a transfer function between printing parameters, substrate wetting characteristics and the resulting surface morphology. The development of a transfer function significantly decreased the computational time required by purely physics-based models and enabled the parameter optimisation using a multi-objective genetic algorithm approach to attain the best film dimensional accuracy. Additionally, for multilayer printing applications, a layer compensation approach was achieved utilizing a convolutional neural network trained by the predicted (deformed) geometry to reduce the out of plane error to target shape. The optimal combination of printing parameters and input image compensation helped with the generation of fine features that are traditionally difficult for inkjet, improved resolution of edges and corners by reducing the amount of overflow from material, accounted for varied topography and capillary effects thereof on the substrate surface and considered the effect of multiple layers built up on each other. This study revealed for the first time to the best of our knowledge the role of the droplet location and footprint diameter uncertainty in the stability and uniformity of printed features. Using a droplet overlap map which was proposed as a universal technique to assess the effect of printing parameters on pattern geometry, it was shown that reliable limits for break-up and bulging of printed features were obtained. Considering droplet position and diameter size uncertainties, predicted optimal printing parameters improved the quality of printed films on substrates with different wettability. Finally, a stability diagram illustrating the onset of bulging and separation for lines and films as well as the optimal drop spacing, printing frequency and stand-off distance was generated to inform visually the results. This investigation has developed a predictive physics-based model of the surface morphology of DIJP features on heterogeneous substrates and a methodology to find the printing parameters and compensate the layer geometry required for optimum part dimensional accuracy. The simplicity of the proposed technique makes it a promising tool for model driven inkjet printing process optimization, including real time process control and paves the way for better quality devices in the printed electronics industry

    Stratospheric constituent measurements using UV solar occultation technique

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    The photochemistry of the stratospheric ozone layer was studied as the result of predictions that trace amounts of pollutants can significantly affect the layer. One of the key species in the determination of the effects of these pollutants is the OH radical. A balloon flight was made to determine whether data on atmospheric OH could be obtained from lower resolution solar spectra obtained from high altitude during sunset

    Chemical approaches to ubiquitous computing

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    Dissertaรงรฃo apresentada para obtenรงรฃo do Grau de Doutor em Quรญmica, perfil de Quรญmica Fรญsica, pela Universidade Nova de Lisboa, Faculdade de Ciรชncias e Tecnologi
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