55 research outputs found

    ์ดˆ๋‹จ ํŽ„์Šค ์˜์—ญ์—์„œ ๋น„์„ ํ˜• ๊ด‘์„ฌ์œ  ๋ ˆ์ด์ € ์‹œ์Šคํ…œ์˜ ์ˆ˜์น˜ํ•ด์„ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2017. 8. ์ •์œค์ฐฌ.In this dissertation, nonlinear fiber laser systems in the sub-ps pulse regime are numerically investigated. The main research subjects of this dissertation are categorized into two groups: (1) nonlinear effects in noncavity configurations, e.g. nonlinear fiber sections pumped by ultrashort pulses and (2) nonlinear effects in cavity configurations, e.g. mode-locked fiber ring lasers. When the systems accompany large amount of nonlinearity, the nonlinear effects result in extreme spectral broadening, called supercontinuum generation (SCG) for the former case and multi-pulse operation for the latter case. By exploiting the master equations based on the nonlinear Schrรถdinger equation (NLSE), I numerically simulate the ultrashort-pulse evolution in the nonlinear fiber laser systems. By analyzing the simulation results, I optimize the system performance or verify unclarified phenomenon in the investigated systems. In the first two parts of the dissertation, I focus on studying the SCG in noncavity configurations. First, I numerically study the dynamics of SCG for a variety of possible combinations of photonic crystal fibers (PCFs) and ultrafast fiber laser pulses that current technologies offer. Three types of PCFs typically used in SCG and four representative types of ultrafast fiber laser pulses are considered for this combinatorial study. I numerically model and qualitatively discuss the nonlinear evolution of the pulses for their 12 combinatorial cases. I also quantitatively analyze their output spectra and organize a performance chart for them in terms of spectral bandwidth, flatness, and degree of spectral coherence. Through these works, I suggest the most viable combinations among the given PCFs and ultrafast fiber laser pulses in order to generate a target SC spectrum for various specific cases. In the second part of this dissertation, I numerically study the dynamics of SCG in a ytterbium-doped highly nonlinear PCF (HNL-PCF) in the sub-ps regime. I disucss the enhancement of the energy spectral density and the recovery of the peak power depletion in the SCG process through the fiber in comparison with the SCG based on a passive-type fiber. As a unique application of the novel characteristics of the active HNL-PCF, I also analyze the direct amplification of a SC pulse through it, showing that the incident SC pulse can be amplified by 10 dB without undergoing significant degradations in terms of spectral bandwidth and flatness. These numerical investigations on the active HNL-PCF will be helpful for opening up new opportunities for fiber-based SCG technology in the sub-ps pulse regime. In the third part of this dissertation, I focus on the nonlinear effects in cavity configurations. I numerically investigate quasi-mode-locked (QML) multi-pulse dynamics in a fiber ring laser in the anomalous dispersion (AD) regime. I show that the laser cavity can operate in five constitutively different QML regimes, depending on the saturation power of the saturable absorber element and the length of the passive fiber section that parameterize the overall nonlinearity and dispersion characteristics of the laser cavity. I classify them into the incoherent noise-like pulse (NLP), partially-coherent NLP, symbiotic, partially-coherent multi-soliton, and coherent multi-soliton regimes, accounting for their coherence and multi-pulse formation features. In particular, I numerically clarify and confirm the symbiotic regime for the first time to the best our knowledge, in which NLP and multi-solitons coexist stably in the cavity that has recently been observed experimentally. Furthermore, I analyze the shot-to-shot coherence characteristics of the individual QML regimes relative to the amount of the nonlinear-phase shift per roundtrip, and verify a strong correlation between them. I also show that the net-cavity dispersion plays a critical role in determining the multi-pulse dynamics out of the partially-coherent NLP, symbiotic, and partially-coherent multi-soliton regimes, when the cavity bears moderate nonlinearity. I quantify and visualize all those characteristics onto contour maps, which will be very useful and helpful in discussing and clarifying the complex QML dynamics. In the fourth part of this dissertation, I extend the analysis of the AD QML cavity into the normal-dispersion (ND) QML cavity. While adjusting two chosen cavity parameters: saturation power of the SA and the length of the ND passive fiber, I verify three distinctive QML operation regimes. Accounting for the temporal dynamics in three QML regimes, I classify them into the NLP, transient, and symbiotic regimes. In each regime, I quantitatively analyze the shot-to-shot stability of the QML pulse and its relation with the cavity nonlinearity by visualizing the results on contour maps. Finally, I discuss the origin of the degradation of the shot-to-shot stability in the ND QML cavity.Chapter 1 Introduction. 1 1.1 Overview on fiber optics 1 1.2 Motivation of this dissertation 6 1.3 Scope and organization. 10 Chapter 2 Nonlinear dynamics in noncavity configurations: supercontinuum generation. 12 2.1 Passive supercontinuum generation in the sub-ps regime. 12 2.2 Active Supercontinuum generation in the sub-ps regime 45 Chapter 3 Nonlinear dynamics in cavity configurations: quasi-mode-locked operation. 67 3.1 Quasi-mode-locked operation in an anomalous dispersion cavity. 67 3.2 Quasi-mode-locked operation in a normal dispersion cavity 92 Chapter 4 Conclusion. 106 Bibliography. 112 ํ•œ๊ธ€ ์ดˆ๋ก. 120Docto

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    ์ด๋™๊ฐ์ฒด ๋ฐ์ดํƒ€๋ฒ ์ด์Šค์—์„œ TP ์ตœ๊ทผ์ ‘์Œ ์งˆ์˜์˜ ์ฒ˜๋ฆฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€,2004.Maste

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    Thesis(master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์น˜์˜ํ•™๊ณผ ์น˜๊ณผ๋ณด์กดํ•™์ „๊ณต,2007.Maste

    ๋ณตํ•ฉ๋ ˆ์ง„์˜ ์ถฉ์ „๋ฐฉ๋ฒ•์ด ์ค‘ํ•ฉ์ˆ˜์ถ•์‘๋ ฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    Objective: The aim of this study was to investigate the effect of layering methods using a methacrylate-based composite, a flowable composite liner and a low shrinkage silorane-based composite on the polymerization shrinkage stress of light cured composites. Methods: Twenty four aluminum blocks were used to prepare MOD cavities and divided into four groups. A universal hybrid methacrylate-based Filtek Z250 composite (Z250), a Filtek Z350 flowable composite (Z350 flowable), and a silorane-based Filtek P90 composite (P90) were used to fill the cavities. Cavities were restored using four different filling protocols. Group 1 was filled in bulk with Z250, group 2 was restored by an increment technique with the same composite, group 3 by an increment technique with Z250 after lining with a Z350 flowable, and group 4 by an increment technique with P90. The axial shrinkage strain and flexural modulus of the three composites were determined, and cuspal deflection of each group was measured with LVDT probes and compared among groups using ANOVA and Tukeys post hoc test (ฮฑ=0.05). Results: The axial shrinkage strains of P90, Z250, and Z350 flowable were 1.05 (0.09), 2.28 (0.04), and 4.12 (0.09)%, respectively. The flexural modulus of P90 was 10.1 (0.9), Z250 was 13.6 (2.0), and Z350 was 7.6 (0.9) GPa. The cuspal deflections at 33 minutes in groups 1-4 were 18.2 (1.54), 14.5 (0.47), 16.2 (1.10), and 6.6 (0.44) ใŽ›, respectively. The increment technique yielded significantly lower cuspal deflection than the bulk technique. Flowable composite lining under incrementally filled universal composite (Z250) showed higher cuspal deflection than that without flowable composite lining. Silorane-based (P90) composite exhibited lower cuspal deflection than methacrylate-based (Z250) composite. Significance: Cuspal deflection resulting from polymerization shrinkage stress can be reduced by the increment technique and low shrinking composite to obtain optimal clinical outcomes. Flowable composite lining under incrementally filled universal composite did not reduce polymerization shrinkage stress in terms of cuspal deflection.๋ชฉ์ : ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ ์ธต์ถฉ์ „ ๋ฐฉ๋ฒ•, flowable ๋ณตํ•ฉ๋ ˆ์ง„ ์ด์žฅ์žฌ์˜ ์‚ฌ์šฉ ๋ฐ ์ €์ˆ˜์ถ• silorane-based ๋ณตํ•ฉ๋ ˆ์ง„ ์‚ฌ์šฉ์ด ๊ด‘์ค‘ํ•ฉ ๋ณตํ•ฉ๋ ˆ์ง„์˜ ์ค‘ํ•ฉ์ˆ˜์ถ•์‘๋ ฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•จ์ด๋‹ค. ์žฌ๋ฃŒ ๋ฐ ์‚ฌ์šฉ๋ฐฉ๋ฒ•: MOD ์™€๋™์ด ํ˜•์„ฑ๋œ 24๊ฐœ์˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ๋ธ”๋ก์„ ์ œ์ž‘ํ•˜์—ฌ ๋„ค ๊ตฐ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์ถฉ์ „์— ์‚ฌ์šฉ๋œ ๋ณตํ•ฉ๋ ˆ์ง„์€ methacrylate-based ์ „๊ตฌ์น˜ ๋ฒ”์šฉ ๋ณตํ•ฉ๋ ˆ์ง„ (Z250), flowable ๋ณตํ•ฉ๋ ˆ์ง„ (Z350 flowable), silorane-based ๋ณตํ•ฉ๋ ˆ์ง„ (P90) ์ด์—ˆ๊ณ , ํ˜•์„ฑ๋œ ์™€๋™์€ ๊ตฐ๋ณ„๋กœ ๋„ค ๊ฐ€์ง€ ๊ฐ๊ธฐ ๋‹ค๋ฅธ ์ถฉ์ „๋ฐฉ๋ฒ•์œผ๋กœ ์ถฉ์ „๋˜์—ˆ๋‹ค. 1๊ตฐ์€ Z250 ๋ณตํ•ฉ๋ ˆ์ง„์œผ๋กœ ํ•œ ๋ฒˆ์— ์ถฉ์ „ํ•˜์˜€๊ณ , 2๊ตฐ์€ Z250 ๋ณตํ•ฉ๋ ˆ์ง„์œผ๋กœ ์ ์ธต ์ถฉ์ „ํ•˜์˜€๋‹ค. 3๊ตฐ์€ Z350 flowable ๋ณตํ•ฉ๋ ˆ์ง„์œผ๋กœ ์ด์žฅ ํ›„ Z250์œผ๋กœ ์ ์ธต ์ถฉ์ „ํ•˜์˜€๊ณ  4๊ตฐ์€ P90์œผ๋กœ ์ ์ธต ์ถฉ์ „ํ•˜์˜€๋‹ค. ์„ธ ์ข…์˜ ๋ณตํ•ฉ๋ ˆ์ง„์˜ axial ์ค‘ํ•ฉ์ˆ˜์ถ•๋ฅ ๊ณผ ๊ตด๊ณก ํƒ„์„ฑ๊ณ„์ˆ˜๋ฅผ ์ธก์ •ํ•˜์˜€๊ณ , LVDT probe๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ ๊ตฐ์—์„œ ๊ต๋‘๊ตด๊ณก์„ ์ธก์ •ํ•˜์˜€์œผ๋ฉฐ, ANOVA์™€ Tukeys post hoc test๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค (ฮฑ=0.05). ๊ฒฐ๊ณผ: P90, Z250, ๊ทธ๋ฆฌ๊ณ  Z350 flowable ์˜ axial ์ค‘ํ•ฉ์ˆ˜์ถ•๋ฅ ์€ ๊ฐ๊ฐ 1.05 (0.09), 2.28 (0.04), 4.12 (0.09)% ์˜€๋‹ค. P90์˜ ๊ตด๊ณก ํƒ„์„ฑ๊ณ„์ˆ˜๋Š” 10.1 (0.9), Z250์€ 13.6 (2.0), ๊ทธ๋ฆฌ๊ณ  Z350์€ 7.6(0.9) GPa ๋กœ ๊ฐ€์žฅ ๋‚ฎ์•˜๋‹ค. 1๊ตฐ์—์„œ 4๊ตฐ์˜ ํ‰๊ท  ๊ต๋‘๊ตด๊ณก์€ ๊ด‘์กฐ์‚ฌ ์‹œ์ž‘ ํ›„ 33๋ถ„์—์„œ ๊ฐ๊ฐ 18.2 (1.54), 14.5 (0.47), 16.2 (1.10), 6.6 (0.44) ใŽ› ์ด์—ˆ๋‹ค. ์ ์ธต ์ถฉ์ „์ด ํ•œ ๋ฒˆ์— ์ถฉ์ „๋ณด๋‹ค ํ˜„์ €ํžˆ ์ ์€ ๊ต๋‘๊ตด๊ณก์„ ๋ณด์˜€๋‹ค. Z250 ๋ณตํ•ฉ๋ ˆ์ง„์œผ๋กœ ์ ์ธต ์ถฉ์ „ ํ•˜๊ธฐ ์ „์— flowable ๋ณตํ•ฉ๋ ˆ์ง„์„ ์ด์šฉํ•˜์—ฌ ์ด์žฅํ•œ ๊ฒฝ์šฐ, flowable ๋ณตํ•ฉ๋ ˆ์ง„ ์ด์žฅ์žฌ ์—†์ด Z250 ์œผ๋กœ๋งŒ ์ ์ธต ์ถฉ์ „ ํ•œ ๊ฒฝ์šฐ๋ณด๋‹ค ๋” ํฐ ๊ต๋‘๊ตด๊ณก์„ ๋ณด์˜€๋‹ค. Silorane-based ๋ณตํ•ฉ๋ ˆ์ง„ (P90) ์ด methacrylate-based ๋ณตํ•ฉ๋ ˆ์ง„์˜ ๊ฒฝ์šฐ (Z250) ๋ณด๋‹ค ๋” ์ ์€ ๊ต๋‘๊ตด๊ณก์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๊ณ ์ฐฐ: ์ค‘ํ•ฉ์ˆ˜์ถ•์‘๋ ฅ์— ์˜ํ•ด ๋ฐœ์ƒ๋˜๋Š” ๊ต๋‘๊ตด๊ณก์€ ์ ์ธต ์ถฉ์ „๋ฒ•์ด๋‚˜ ์ €์ˆ˜์ถ• ๋ณตํ•ฉ๋ ˆ์ง„์„ ์‚ฌ์šฉํ•˜์—ฌ ์ค„์ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ฒ”์šฉ ๋ณตํ•ฉ๋ ˆ์ง„์œผ๋กœ ์ ์ธต ์ถฉ์ „ํ•˜๊ธฐ ์ „์— flowable ๋ณตํ•ฉ๋ ˆ์ง„ ์ด์žฅ์žฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์€ ์ค‘ํ•ฉ์ˆ˜์ถ•์‘๋ ฅ์— ์˜ํ•œ ๊ต๋‘๊ตด๊ณก์„ ๊ฐ์†Œ์‹œํ‚ค์ง€ ๋ชปํ•˜์˜€๋‹ค.Docto
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