Sentence examples for mechanical properties predicted from inspiring English sources

The mechanical properties predicted using the analytical solutions are compared with those obtained using finite element models.

The mechanical properties predicted include flow stress as a function of temperature and strain-rate, as well as time for 0.1-0.2 0.1-0.2strain as a function of stress and temperature.

The mathematical models developed for the mechanical properties were predicted at 95% confidence limit.

The mechanical properties were predicted by employing finite element model of material microstructure, so as to design microstructure and prepare new ceramic materials.

The behaviors of the mechanical properties were predicted against cell size variation at various porosities, and the optimum condition for maximum strength density ratio was determined.

Polypropylene (PP /waste ground rubber tire powder (WGRT) composites were studied with respect to the effect of bitumen and maleic anhydride-grafted styrene ethylene butylene styrene (SEBS-g-MA) content by using the design of experiments (DOE) approach, whereby the effect of the four polymers content on the final mechanical properties were predicted.

In this work, waste polypropylene (WPP /waste ground rubber tire (WGRT) powder blends were studied with respect to the effect of bitumen and maleic anhydride-grafted styrene ethylene butylene styrene (SEBS-g-MA) content by using the design of experiments (DOE) approach, whereby the effect of the four polymers content on the final mechanical properties were predicted.

Therefore, an improvement in mechanical properties can be predicted by the toughening mechanism.

However, their mechanical properties cannot be predicted by traditional analytical models because of their relatively thick shells.

Microhardness, compression and shear punch testing indicated, in some cases, an almost threefold increase in mechanical properties above that predicted by Hall Petch estimates for pure nanocrystalline Cu.

In the third step, the mechanical properties will be predicted through non-destructive X-ray measurements of the average density of well-known components on site to evaluate and verify the applicability of the method.