Both alloy content, amount of accumulated strain and choice of deformation route influenced particle refinement.
Oil agglomeration parameters including solid content, amount of oil, agitation time and agitation rate were optimized based on multiple performance characteristics.
Moreover, differences in salivary content, amount of mechanical work on the STP, and levels of expectoration may also affect exposure among users of different types of STP.
According to dry basis calculation, initial moisture content amount was 7.06 g water/g dry matter and amount of final moisture content of dry matter was obtained as 0.14 g water/g dry matter.
Effect of continuous cooling duration on ferrite content, amount of carbon diffused in the prior austenite grains, variation of carbon content in the retained austenite (cγ) and its volume fraction (Vγ) have been analyzed.
Table 1 Formulation of sample thin films No. of samples Samples content Amount of HPC in solution (g g sol −1 ) Amount of Cu2+ (molar ratio) S1 TiO2/chitosan – – S2 TiO2/chitosan 4.5 × 10−3 – S3 TiO2/chitosan – 2 % S4 TiO2/chitosan 4.5 × 10−3 2%%.
These factors include the cement type and content, amount of water, type of admixture, initial wetting conditions, type and volume of aggregate and the partial replacement of normal weight coarse and fine aggregates by lightweight aggregates.
The porosity is a function of different parameters and it depends on the water content, amount of entrapped/entrained air (if any) and voids introduced in the composite due to the inclusion of LWF spherical particles.
Numerical weather prediction enables quantitative calculation of time variation for meteorological elements such as atmospheric pressure, temperature, water vapor content, amount of condensation, wind direction, and wind velocity to estimate their prospective values [1, 2].
