Passive Q-switching laser performance of Yb:Gd3Ga5O12 garnet crystal

Han, Wenjuan; Yi, Hongying; Dai, Qibiao; Wu, Kui; Zhang, Huaijin; Xia, Linhua; Liu, Junhai

doi:10.1364/ao.52.004329

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…Framelets (redundant wavelets) [27] are directionally selective in image processing. [28,29] The decomposition can also be achieved by applying the split Bregman iterations. [30] The details of this decomposition algorithm were given in Cai et al [31] With the help of cartoon-texture decomposition, the original image can be decomposed into the cartoon part and texture part as shown in Figure 7.…”

Section: Modified Empirical Methodsmentioning

confidence: 99%

Image analysis of heavy oil liberation from host rocks/sands

Zhang

Lin

et al. 2015

Can J Chem Eng

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An essential requirement for efficient heavy oil production is liberation of heavy oil from host rocks, which is determined by the wettability of the rocks, and the interfacial tension and viscosity of heavy oil. Recent progress on the design of an online visualization flow cell allows capture of dynamic heavy oil liberation processes from the surfaces of sand grains in real time under a water flooding environment. However, the accurate assessment of heavy oil liberation remains a challenge, due to uncertainties in defining oil-free areas of heavy oil contaminated rock surfaces. In this study, three new image-processing algorithms of modified empirical, Gridding, and Edge-covering methods were applied to image transformation for heavy oil liberation analysis. These methods were found to be more accurate and robust in determining the threshold value distinguishing liberated from unliberated sand surfaces. The use of wavelet transform theory in the Gridding and Edge-covering methods led to faster calculations with a typical error of less than 2 % in the quantitative analysis on the threshold value determination and the degree of heavy oil liberation. Among these three methods, the Gridding method with a sound theoretical foundation was shown to be the most reliable. The results showed that the threshold value determined was highly dependent on the types of ores and the image capture settings such as lighting conditions, exposure time, and microscope magnification.

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Section: Modified Empirical Methodsmentioning

confidence: 99%

Image analysis of heavy oil liberation from host rocks/sands

Zhang

Lin

et al. 2015

Can J Chem Eng

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“…Among the numerous hosts for laser applications, gadolinium gallium garnet (Gd 3 Ga 5 O 12 ) is a good material due to its high thermal conductivity, good mechanic properties, and large damage threshold [2][3][4]. Recently, Yb:GGG crystal have attracted much attention [5][6][7][8][9][10][11] due to its broad absorption and emission bands and small quantum defects, which make it more suitable for high-power laser systems, tunable lasers, and ultrafast laser pulse generation. However, the high price as well as the serious decomposition and evaporation of Ga 2 O 3 during the crystal growth process limit the widespread application of the Yb:GGG crystal.…”

Section: Introductionmentioning

confidence: 99%

Crystal growth and thermal properties of the laser crystal Yb3+:Gd3(Al Ga1−)5O12

Jia

Zhang

et al. 2015

Journal of Crystal Growth

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“…Sci. 2021, 11, 10879 2 of 14 Yb 3+ :Gd 3 Ga 5 O 12 (GGG) [20], (Yb x Y 1−x ) 3 (Sc 1.5 Ga 0.5 )Ga 3 O 12 (YSGG) [21], Yb 3+ :Lu 3 Ga 5 O 12 (LuGG) [22]), tungstates (e.g., Yb 3+ :KGd(WO 4 ) 2 (KGW) [23,24], Yb 3+ :NaY(WO 4 ) 2 (NaYW) [25], Yb 3+ :NaGd(WO 4 ) 2 (NaGdW) [26], Yb 3+ :KLu(WO 4 ) 2 (KLuW) [27]), and borates (Yb 3+ :YCa 4 O(BO 3 ) 3 (YCOB) [28][29][30], Yb 3+ :GdCa 4 O(BO 3 ) 3 (GdCOB) [28,31]). Among them, Yb 3+ -doped borates with short bond lengths (e.g., Yb:YCOB and Yb:GdCOB) have relatively smaller emission cross-sections (~0.5 × 10 −20 cm 2 ), longer fluorescence lifetimes (~2 ms), broader emission spectra (45 nm), and have been proven to be excellent energy storage materials.…”

Section: Introductionmentioning

confidence: 99%

Review of the Yb3+:ScBO3 Laser Crystal Growth, Characterization, and Laser Applications

et al. 2021

Applied Sciences

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Passive Q-switching is an effective approach for generating pulsed lasers, owing to its compact and additional modulation-free design. However, to compare favorably with active Q-switching and multi-stage amplification, the output energy needs to be enhanced for practical applications. Kramers Ytterbium ion (Yb3+)-doped borate crystals, with their excellent energy storage capacity, have been proven to be high-potential laser gain mediums for achieving pulsed lasers with moderate and high output energy using passive Q-switching technology. In this study, the growth, characterization, and laser generation of one Yb3+-doped borate crystal, the Yb3+:ScBO3 crystal, are systematically reviewed. The continuous-wave and passive Q-switching laser characteristics are presented in detail, and the self-pulsations derived from intrinsic ground-state reabsorption are also demonstrated. The specific characteristics and experiments confirm the potential of the Yb3+:ScBO3 crystal for future pulsed laser applications with moderate or even high energy output.

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Passive Q-switching laser performance of Yb:Gd₃Ga₅O₁₂ garnet crystal

Cited by 9 publications

References 13 publications

Image analysis of heavy oil liberation from host rocks/sands

Image analysis of heavy oil liberation from host rocks/sands

Crystal growth and thermal properties of the laser crystal Yb3+:Gd3(Al Ga1−)5O12

Review of the Yb3+:ScBO3 Laser Crystal Growth, Characterization, and Laser Applications

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