Using Macrotexture Map to Visualize Texture Heterogeneity in Polycrystalline Aggregate

Author(s):  
Dongsheng Li

Abstract A new tool, macrotexture map, was developed to represent and visualize texture heterogeneity in polycrystalline aggregate. This is a critical tool for microstructure representation, useful in risk analysis, performance simulation, and hotspot identification. In contrast to orientation imaging microscope (OIM) map where each color represents a crystal orientation, each color in this macrotexture map represents a texture. Different color represent different texture and similar texture shall have similar color. Macrotexture map provide a unique function to quantitatively evaluate texture heterogeneity of large components, leading to a first-hand understanding of property heterogeneity and anisotropy. For an experienced user, these maps serve the same purpose in identifying high risk locations in the investigated component as medical imaging maps do for diagnosis purpose. This method will also serve as a starting point in mesoscale simulation with meshing sensitivity based on the texture heterogeneity. It will provide a bridge between texture characterization and behavior simulation of components with texture heterogeneity. Macrotexture map will offer a linkage between crystal plasticity simulation in small length scale and finite element/difference simulation in large length scale.

2020 ◽  
Author(s):  
Yangtai Liu ◽  
Xiang Wang ◽  
Baolin Liu ◽  
Qingli Dong

AbstractMicrorisk Lab was designed as an interactive modeling freeware to realize parameter estimation and model simulation in predictive microbiology. This tool was developed based on the R programming language and ‘Shinyapps.io’ server, and designed as a fully responsive interface to the internet-connected devices. A total of 36 peer-reviewed models were integrated for parameter estimation (including primary models of bacterial growth/ inactivation under static and non-isothermal conditions, secondary models of specific growth rate, and competition models of two-flora growth) and model simulation (including integrated models of deterministic or stochastic bacterial growth/ inactivation under static and non-isothermal conditions) in Microrisk Lab. Each modeling section was designed to provide numerical and graphical results with comprehensive statistical indicators depending on the appropriate dataset and/ or parameter setting. In this research, six case studies were reproduced in Microrisk Lab and compared in parallel to DMFit, GInaFiT, IPMP 2013/ GraphPad Prism, Bioinactivation FE, and @Risk, respectively. The estimated and simulated results demonstrated that the performance of Microrisk Lab was statistically equivalent to that of other existing modeling system in most cases. Microrisk Lab allowed for uniform user experience to implement microbial predictive modeling by its friendly interfaces, high-integration, and interconnectivity. It might become a useful tool for the microbial parameter determination and behavior simulation. Non-commercial users could freely access this application at https://microrisklab.shinyapps.io/english/.


Author(s):  
Angelina Folberth ◽  
Swaminath Bharadwaj ◽  
Nico van der Vegt

We report the effect of trimethylamine N-oxide (TMAO) on the solvation of nonpolar solutes in water studied with molecular dynamics (MD) simulations and free-energy calculations. The simulation data indicate the...


1977 ◽  
Vol 45 ◽  
pp. 67-71 ◽  
Author(s):  
M. G. Edmunds

The local chemical inhomogneity of the interstellar medium at a given time is an important factor in models of galactic chemical evolution. It can affect both the G-dwarf metallicity problem (Tinsley 1975, Talbot and Arnett 1973) and the correlation of the abundances of different elements (Tinsley 1976). Observational evidence of abundance gradients in our own Galaxy, and someothergalaxies (summarised by Peimbert 1975, van den Bergh 1975), implies that in homogeneities over a large length scale must be created and survive during galactic evolution. Brief consideration of the mixing of the Galactic disk (e.g. Edmunds 1975, 1976) suggests


2019 ◽  
Vol 17 (1) ◽  
pp. 29-47 ◽  
Author(s):  
Theiss Bendixen

Laypeople hold beliefs about economics and policy issues—so-called folk-economic beliefs (FEBs)—that are often wrong or misleading according to professional economists. Here, I critically discuss a recent evolutionary–cognitive approach to understanding folk-economic beliefs. According to this approach (Boyer & Petersen 2018a), some economic beliefs are more prevalent than others, because such beliefs (i.e., folk-economic beliefs) resonate with evolved features of the human mind. I refer to this as the “FEB hypothesis”. A central challenge to the FEB hypothesis, with its heavy reliance on universal cognitive features, is to explain individual and cultural differences in economic beliefs and behavior. This challenge is the starting point for the discussion. Overall, the conclusion of this paper is that the FEB hypothesis relies on unnecessarily strong and controversial theoretical assumptions (e.g., “massive modularity” and the “Environment of Evolutionary Adaptedness”), and that it overlooks important findings from adjacent fields, but that the FEB hypothesis, following some modifications inspired by Dual Inheritance Theory, can be integrated with robust findings from the rest of the evolutionary, cognitive, and anthropological sciences, as well as standard political psychology. Based on this discussion, the paper ends with brief reflections on how to correct inaccurate folk-economic beliefs.


Author(s):  
Paul J. Zoccola

The effect on flow-induced cavity resonance of the presence of an obstruction, or a grid made up of regularly spaced obstructions, in the cavity opening is considered. The presence of a single obstruction or of a grid generally alters the flow so that the excitation occurs on the smaller length scale created by the obstruction. However, discussion of resonant excitation on the length scale encompassing the obstructions has not been found in the literature. For this study, measurements of cavity pressure due to flow over a cavity with obstructions or grids of varying dimensions in the opening were made. Measurements of the flow field around a single obstruction were also made. The cavity pressure measurements show that flow over an opening with a grid does result in the occurrence of classical resonant excitation at the large length scale. The frequency of the excitation and the amplitude of the response at the large length scale are reduced, depending on the dimensions of the obstruction. Flow field results show the effects that an obstruction has on the flow, including effects on the vortex convection velocity and the energy production distribution.


2017 ◽  
Vol 121 (21) ◽  
pp. 11300-11311 ◽  
Author(s):  
Victor T. Noronha ◽  
Francisco A. Sousa ◽  
Antonio G. Souza Filho ◽  
Cristiane A. Silva ◽  
Francisco A. Cunha ◽  
...  

2017 ◽  
Vol 118 (16) ◽  
Author(s):  
F. Bottegoni ◽  
C. Zucchetti ◽  
S. Dal Conte ◽  
J. Frigerio ◽  
E. Carpene ◽  
...  

2010 ◽  
Vol 665 ◽  
pp. 516-539 ◽  
Author(s):  
PAOLO LUCHINI ◽  
FRANÇOIS CHARRU

The analysis of flow over a slowly perturbed bottom (when perturbations have a typical length scale much larger than channel height) is often based on the shallow-water (or Saint-Venant) equations with the addition of a wall-friction term which is a local function of the mean velocity. By this choice, small sinusoidal disturbances of wall stress and mean velocity are bound to be in phase with each other. In contrast, studies of shorter-scale disturbances have long established that a phase lead develops between wall stress and mean velocity, with a crucial destabilizing effect on sediment transport along an erodible bed. The purpose of this paper is to calculate the wall-shear stress under large length-scale conditions and provide corrections to the Saint-Venant model.


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