scholarly journals Complete set of material properties of [011]c poled 0.24Pb(In1/2Nb1/2)O3–0.46Pb(Mg1/3Nb2/3)O3–0.30PbTiO3 single crystal

2011 ◽  
Vol 65 (19-20) ◽  
pp. 2855-2857 ◽  
Author(s):  
Enwei Sun ◽  
Wenwu Cao ◽  
Pengdi Han
2007 ◽  
Vol 90 (21) ◽  
pp. 212903 ◽  
Author(s):  
Feifei Wang ◽  
Laihui Luo ◽  
Dan Zhou ◽  
Xiangyong Zhao ◽  
Haosu Luo

2019 ◽  
Vol 37 (4-6) ◽  
pp. 377-433
Author(s):  
Tatenda Nyazika ◽  
Maude Jimenez ◽  
Fabienne Samyn ◽  
Serge Bourbigot

Over the past years, pyrolysis models have moved from thermal models to comprehensive models with great flexibility including multi-step decomposition reactions. However, the downside is the need for a complete set of input data such as the material properties and the parameters related to the decomposition kinetics. Some of the parameters are not directly measurable or are difficult to determine and they carry a certain degree of uncertainty at high temperatures especially for materials that can melt, shrink, or swell. One can obtain input parameters by searching through the literature; however, certain materials may have the same nomenclature but the material properties may vary depending on the manufacturer, thereby inducing uncertainties in the model. Modelers have resorted to the use of optimization techniques such as gradient-based and direct search methods to estimate input parameters from experimental bench-scale data. As an integral part of the model, a sensitivity study allows to identify the role of each input parameter on the outputs. This work presents an overview of pyrolysis modeling, sensitivity analysis, and optimization techniques used to predict the fire behavior of combustible solids when exposed to an external heat flux.


2017 ◽  
Vol 2017.55 (0) ◽  
pp. K0315
Author(s):  
Keisuke NODA ◽  
Mitsuhiro OKAYASU

2013 ◽  
Vol 103 (12) ◽  
pp. 122905 ◽  
Author(s):  
Limei Zheng ◽  
Xiujie Yi ◽  
Shantao Zhang ◽  
Wenhua Jiang ◽  
Bin Yang ◽  
...  

2006 ◽  
Vol 524-525 ◽  
pp. 795-800 ◽  
Author(s):  
Arnold C. Vermeulen ◽  
Detlev Götz

Residual stress in polycrystalline coatings can be determined by X-ray diffraction. The data collection requirements are summarized and evaluated in this paper. First, general requirements for stress measurements are described. Then, requirements related to the diffraction geometry and the specimen manipulation are considered. Finally, requirements with respect to specimen characteristics, including various coating-substrate combinations are presented. Polycrystalline coatings can be nanocrystalline, randomly orientated or highly textured. The substrates can be of any nature: amorphous, polycrystalline or single crystal. The complete set of requirements leads to a measurement advice for a particular coatingsubstrate specimen, which includes the choice of diffraction geometry and the data collection strategy. Based on two complementary test cases it is demonstrated that the set of rules is complete and that they can be applied to any type of polycrystalline specimen.


2010 ◽  
Vol 96 (1) ◽  
pp. 012907 ◽  
Author(s):  
Xiaozhou Liu ◽  
Shujun Zhang ◽  
Jun Luo ◽  
Thomas R. Shrout ◽  
Wenwu Cao

2008 ◽  
Vol 32 ◽  
pp. 259-262 ◽  
Author(s):  
Akbar Afaghi Khatibi ◽  
Bohayra Mortazavi

Developing new techniques for the prediction of materials behaviors in nano-scales has been an attractive and challenging area for many researches. Molecular Dynamics (MD) is the popular method that is usually used to simulate the behavior of nano-scale material. Considering high computational costs of MD, however, has made this technique inapplicable as well as inflexible in various situations. To overcome these difficulties, alternative procedures are thought. Considering its capabilities, Finite Element Analysis (FEA) seems to be the most appropriate substitute for MD simulations in most cases. But since the material properties in nano, micro, and macro scales are different, therefore to use FEA methods in nano-scale modeling one must use material properties appropriate to that scale. To this end, a previously developed Hybrid Molecular Dynamics-Finite Element (HMDFE) approach was used to investigate the nanoindentation behavior of single crystal silicon with Berkovich indenter. In this study, a FEA model was developed based on the material properties extracted from molecular dynamics simulation of uniaxial tension test on single crystal Silicon. Eventually, by comparison of FEA results with experimental data, the validity of this new technique for the prediction of nanoindentation behavior of Silicon was concluded.


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