Sentence examples for geometrical variability from inspiring English sources

In this work a detailed micromechanical analysis of VB-FET disk resonators is carried out, considering geometrical design parameters, geometrical variability, motional resistance for air and solid-gaps, Q-factor and variable particle-resonator sensing cases, permitting quantitative discussions on their suitability for biosensing.

Given this geometrical variability, an analysis of wood deformations at the cellular scale could elucidate whether swelling is regular or is accompanied by local deformations.

In this purpose, we will study the influence of modeling parameters and geometrical variability on the load deflection characteristic curve of the disc.

In the analysis of exploration geochemical data to recognize significant anomalies, it is useful to consider that geochemical landscapes have spatial variability, geometrical properties, and scale-invariant characteristics.

First, the test structure, in which geometrical and material variability has been identified, is studied using a Fuzzy Finite Element Method.

The rigid body motion of the workpieces and their elastic plastic deformations induced during high speed milling of thin-walled parts are the main root causes of part geometrical and dimensional variabilities; these are governed mainly from the choice of process plan parameters such as fixture layout design, operation sequence, selected tool path strategies and the values of cutting variables.

Imperfections due to the manufacturing process are taken into account including material imperfections (elastic modulus variability) and geometrical defects (thickness variability).

It is necessary to develop more accurate values of K that account for the variability of geometrical and geomechanical parameters.

Such a large number of channels allowed us to analyze the variability in geometrical or physicochemical properties of the identified channels between individual X-ray structures of a specific protein.

The concentration-area method and its variants are appropriate for geochemical data analysis in the spatial domain, in which the scale-invariant characteristics of geochemical landscapes are related to the empirical density distributions, spatial variability, and geometrical patterns of geochemical data sets.

Uncertainty is treated including the statistical distribution of the variability in the geometrical models.