Optimization of Convex Shapes: An Approach to Crystal Shape Identification

2009 ◽  
pp. 660-671
Author(s):  
Timo Eirola ◽  
Toni Lassila
Keyword(s):  
Crystal Shape ◽  
Shape Identification

Crystal Shape, Size Distinguish Types of Gout

2007 ◽  
Vol 37 (20) ◽  
pp. 39
Author(s):  
DIANA MAHONEY
Keyword(s):  
Crystal Shape

Cu-AI based single crystal shape memory actuators and drives

2003 ◽  
Vol 112 ◽  
pp. 1181-1184 ◽  
Author(s):  
I. Vahhi ◽  
S. Pulnev ◽  
A. Priadko
Keyword(s):  
Single Crystal ◽  
Shape Memory ◽  
Crystal Shape ◽  
Shape Memory Actuators

scholarly journals A Semi-Empirical Model for Predicting Frost Properties

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 412
Author(s):  
Shao-Ming Li ◽  
Kai-Shing Yang ◽  
Chi-Chuan Wang
Keyword(s):  
Thermal Conductivity ◽  
Linear Programming ◽  
Numerical Model ◽  
Empirical Model ◽  
Quantitative Method ◽  
Predictive Ability ◽  
Dimensionless Temperature ◽  
Crystal Shape ◽  
Proposed Model ◽  
Semi Empirical

In this study, a quantitative method for classifying the frost geometry is first proposed to substantiate a numerical model in predicting frost properties like density, thickness, and thermal conductivity. This method can recognize the crystal shape via linear programming of the existing map for frost morphology. By using this method, the frost conditions can be taken into account in a model to obtain the corresponding frost properties like thermal conductivity, frost thickness, and density for specific frost crystal. It is found that the developed model can predict the frost properties more accurately than the existing correlations. Specifically, the proposed model can identify the corresponding frost shape by a dimensionless temperature and the surface temperature. Moreover, by adopting the frost identification into the numerical model, the frost thickness can also be predicted satisfactorily. The proposed calculation method not only shows better predictive ability with thermal conductivities, but also gives good predictions for density and is especially accurate when the frost density is lower than 125 kg/m3. Yet, the predictive ability for frost density is improved by 24% when compared to the most accurate correlation available.

Still-camera multiview Spectral Optical Flow Imaging for 3D operating-deflection-shape identification

2021 ◽  
Vol 152 ◽  
pp. 107456
Author(s):  
Domen Gorjup ◽  
Janko Slavič ◽  
Aleš Babnik ◽  
Miha Boltežar
Keyword(s):  
Optical Flow ◽  
Flow Imaging ◽  
Shape Identification

Bridge mode shape identification using moving vehicles at traffic speeds through non‐parametric sparse matrix completion

2021 ◽  
Author(s):  
Qipei Mei ◽  
Nima Shirzad‐Ghaleroudkhani ◽  
Mustafa Gül ◽  
S. Farid Ghahari ◽  
Ertugrul Taciroglu
Keyword(s):  
Mode Shape ◽  
Sparse Matrix ◽  
Matrix Completion ◽  
Shape Identification ◽  
Moving Vehicles ◽  
Non Parametric

Influence of oxygen addition on the crystal shape of CVD boron doped diamond

2011 ◽  
Vol 208 (9) ◽  
pp. 2023-2027 ◽  
Author(s):  
R. Issaoui ◽  
J. Achard ◽  
F. Silva ◽  
A. Tallaire ◽  
V. Mille ◽  
...  
Keyword(s):  
Crystal Shape ◽  
Boron Doped Diamond ◽  
Boron Doped ◽  
Oxygen Addition

scholarly journals Influence of local surface albedo variability and ice crystal shape on passive remote sensing of thin cirrus

2014 ◽  
Vol 14 (4) ◽  
pp. 1943-1958 ◽  
Author(s):  
C. Fricke ◽  
A. Ehrlich ◽  
E. Jäkel ◽  
B. Bohn ◽  
M. Wirth ◽  
...  
Keyword(s):  
Optical Thickness ◽  
Surface Albedo ◽  
Near Infrared ◽  
Effective Radius ◽  
High Spectral Resolution ◽  
Spectral Radiance ◽  
Crystal Shape ◽  
Frequency Distributions ◽  
Airborne Measurements ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. Airborne measurements of solar spectral radiance reflected by cirrus are performed with the HALO-Solar Radiation (HALO-SR) instrument onboard the High Altitude and Long Range Research Aircraft (HALO) in November 2010. The data are used to quantify the influence of surface albedo variability on the retrieval of cirrus optical thickness and crystal effective radius. The applied retrieval of cirrus optical properties is based on a standard two-wavelength approach utilizing measured and simulated reflected radiance in the visible and near-infrared spectral region. Frequency distributions of the surface albedos from Moderate resolution Imaging Spectroradiometer (MODIS) satellite observations are used to compile surface-albedo-dependent lookup tables of reflected radiance. For each assumed surface albedo the cirrus optical thickness and effective crystal radius are retrieved as a function of the assumed surface albedo. The results for the cirrus optical thickness are compared to measurements from the High Spectral Resolution Lidar (HSRL). The uncertainty in cirrus optical thickness due to local variability of surface albedo in the specific case study investigated here is below 0.1 and thus less than that caused by the measurement uncertainty of both instruments. It is concluded that for the retrieval of cirrus optical thickness the surface albedo variability is negligible. However, for the retrieval of crystal effective radius, the surface albedo variability is of major importance, introducing uncertainties up to 50%. Furthermore, the influence of the bidirectional reflectance distribution function (BRDF) on the retrieval of crystal effective radius was investigated and quantified with uncertainties below 10%, which ranges below the uncertainty caused by the surface albedo variability. The comparison with the independent lidar data allowed for investigation of the role of the crystal shape in the retrieval. It is found that if assuming aggregate ice crystals, the HSRL observations fit best with the retrieved optical thickness from HALO-SR.

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