Sentence examples for material variable from inspiring English sources
In high-cycle fatigue (HCF), the variability in the fatigue strength of a material is accounted for by considering the statistical variation and employing a −2σ or −3σ (for a normal distribution), or some other factor to account for the lowest value of a material variable within some statistical limits.
The study also evaluate project viability and estimate the future values of the projected raw material variable, crop yield and other main and key variables which effect NPV and project sustainability.
The purpose of normalization is to control several variables such as different amounts and quality of starting material, variable enzymatic efficiencies of retrotranscription from RNA to cDNA, or differences between tissues or cells in overall transcriptional activity.
The latter may be due to different amounts and quality of starting material, variable enzymatic efficiencies (i.e. efficiency of retrotranscription from RNA to complementary DNA (cDNA), and PCR efficiency) between samples and runs, operator errors, and differences between tissues or cells in overall transcriptional activity [ 1, 2].
The effects of different process and material variables on the bond quality were studied.
A comprehensive account of the critical geometrical and material variables controlling the field distribution under the FP is provided.
Surface roughness results could not detect the influence of manufacturing and material variables on the painted surface finish.
Civilizational analysis can benefit, therefore, from attention to institutional complementarities, including ones involving both cultural and material variables.
Material variables included the water-cementitious ratio, the dosage of silica fume, and the length and dosage of polyolefin fiber.
A parametric study is then carried out to investigate the influence of four impact and material variables on the DSIFs.
Numerical simulation is used to analyze the process and a series of parametric studies are performed to reveal the effect of process parameters and material variables.
