http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Yan Zehua (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Fabrication of High-Strength Mg–Gd–Nd–Zn–Sn–Zr Alloy via Extrusion and Aging
Yan Zehua,Yu Yandong,Qian Jiahao,Luo Junting,Sang Yanchao 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.10
A high-strength Mg–9Gd–3Nd–1Zn–1Sn–0.5Zr (wt%) alloy bar was successfully fabricated by extrusion and followingaging two-steps processes, during which the alloy′s microstructures were determined to investigate the refinement mechanismduring extrusion and to reveal the morphology precipitation behavior of the as-extruded alloy after aging. Based on thecharacterization of the mechanical properties, the strengthening mechanism of the alloy under different treatment processeshad been discussed. Our results showed that the greater the extent of extrusion, the finer the grains and eutectic phase, andcrushing and dynamic recrystallization are the refinement mechanisms of the alloy in narrow-zone. After peak-aged treatmentat 200 °C, a large number of spherical β′ phase and lamellar precipitated phase had been observed, which replacesthe amorphous β" phase of the alloy was under-aged. The ultimate tensile strength, yield strength, and elongation were462.12 MPa, 391.97 MPa, and 4.2% respectively, and the increase number of the β′ phase and long-period stacking ordered(LPSO) phase were the reason why the strength of the alloy reached the highest value. At the over-aging stage (96 h), thesize of the lamellar precipitates and the LPSO was larger than that of the peak-aged, and the spherical β′ phase appeared inpeak-aging stage decreased significantly, which reduced its performance.
-
Fabrication of polymer compound microlens by lens-on-lens microstructures
Zehua Xia,Yan Li,Xiaoya Su,Yanhua Han,Zhongyi Guo,Jian-Min Gao,Qiaoqun Sun,Shiliang Qu 한국물리학회 2017 Current Applied Physics Vol.17 No.1
We proposed a novel method for fabricating polymer compound microlenses (PCMLs) using micro-inkjet technique and subsequent curing process. Two different types of PCMLs with sandwich microstructure (PDMS-Glycerol-PDMS), concave and convex PCMLs, have been designed and fabricated in experiments. Convex PCML has two real images and two foci. The concave PCML has one real and one virtual focal planes, which can generate one real image and one virtual image respectively. Moreover, the diameter of concave PCML can be controlled by adjusting the curing time and temperature. The proposed method is simple, efficient and suitable for realizing large-scale high numerical aperture PCMLs array, which has potential applications in diverse optical systems such as optical storage and three-dimensional imaging.
-
XGB-Northern Goshawk Optimization: Predicting the Compressive Strength of Self-Compacting Concrete
Jiang Bian,Ruili Huo,Yan Zhong,Zehua Guo 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4
The contributions of this study, which include enhanced predictive precision and the integration of supplementary admixtures, may be effectively used in real-world scenarios to optimize self-compacting concrete (SCC) mixes for particular applications. This technology exhibits the capacity to improve construction productivity, minimize material wastage, and foster the development of resilient and environmentally friendly infrastructures. This research examined radial basis function (RBF) network and extreme gradient boosting (XGB-based models for predicting the compressive strength (Cs) of SCC. A dataset was generated through the collection of experimental samples, which encompassed supplementary admixtures in addition to the conventional constituents of concrete comprised of lime powders, fly ash, granulated blast furnace slag, silica fume, steel slag powder, super-plasticizer, and viscosity-modifying admixtures. In the present study, two optimization algorithms named the northern Goshawk optimization algorithm (NGOA), and Henry gas solubility optimization (HGSO) were linked with RBF and XGB models (abbreviated as XGBNG , XGBHG , RBFNG , and RBFHG). The results indicate that each of the four models exhibits a notable degree of precision in their prediction methodologies for Cs. A considered comprehensive metric named OBJ showed that the XGBNG simulation received the slightest value at 0.8062, followed by XGBHG at 1.657, then RBFNG at 2.4891, and last RBFHG by 3.9131.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
