Sentence examples for mechanical strength evaluation from inspiring English sources

Exact(2)

By the mechanical strength evaluation and mechanical reliability analysis, the TE behaviors of STEG are verified.

Results of mechanical strength evaluation showed a negative linear relationship between carton strength and vent hole area.

Similar(57)

We used an established orthotopic tibial segment transplantation technique that allows determination of mechanical strength, histologic evaluation, and immune responses.

This evaluation includes two objectives: (a) an evaluation of mechanical indicators (modulus, mechanical strength, stress), and (b) an evaluation of durability indicators (water content, chloride content, porosity, carbonate depth, etc.).

In this study, castables were prepared with different magnesia grain sizes (<45 or <100 μm) and the samples were evaluated by an assisted sintering technique, mechanical strength, creep resistance and microstructural evaluation.

Compression test was performed for evaluation of mechanical strength of the prepared scaffolds.

From the findings of this study scaffold 3 consisting of 40% alginate and 60% nano cockle shell powder showed favorable properties in terms of its morphology, physiochemical evaluation, and mechanical strength, additionally significantly increasing cell proliferations.

The resilient modulus introduced in the design's internal calculations is a function of the California bearing ratio or CBR (a penetration test for the evaluation of the mechanical strength of road subgrades and base courses, with higher values representing harder surfaces) and is calculated using the following equation: M R = 2, 555 CBR 0.64.

The aim of the study was to investigate the influence of the platen design, on the evaluation of the mechanical strength of tablets of different shapes in terms of the potential of ensuring reproducible failure mechanisms and deriving their tensile strength.

The present work, therefore, proposes a simulation-based probabilistic framework that combines artificial neural network and a moment-based uncertainty evaluation technique utilising the finite element model of a lithium-ion battery to evaluate its mechanical strength.

The ultimate stress that evaluates the mechanical strength was the mechanical parameter that exhibited more significant differences (p = 0.005).

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