Sentence examples for material data base from inspiring English sources

Exact(1)

The analytical model is used to estimate the tangential, radial and axial cutting forces, along with a material data base obtained from cutting experiments.

Similar(59)

The practical application of zeroth-order bounds for local and online material data bases of stiffness tensors is presented, in order to accelerate purposes in materials design through efficient materials screening.

Material data are based on small-scale tests of steel and glass specimens, and on published data.

The need to populate the fusion materials engineering data base has long been recognized, the IFMIF facility being the present proposed neutron source for this purpose.

She designed the study, gathered background material, analyzed data, performed data base searches, prepared and completed the manuscript.

On the progress of the Deuterium Deuterium (D D) or Deuterium Tritium (D T) burning plasma devices, the importance of neutron irradiation on superconducting magnet materials increases and the data base is desired to design the next generation devices.

Prior to the manufacture of a component and the experimental test, numerical structural durability tests based on material data allow the estimation of the service life and the identification of the critical areas of the design.

Try two Web sites: www.esculape.com and www.apa.gouv.fr And www.agevillage.com contains a large data base of reference material on services available for the elderly (again, defined in France as over 60).

Our un-optimized quantitative results, based on limited material data and restrictive assumptions on inhomogeneity shape and distribution, indicate that apparent piezoelectric behavior close to 10% of Quartz may be achievable for inhomogeneity sizes in the 4 nm range.

Based on experimental material data, a 3D finite element (FE) continuum model is developed and calibrated to reproduce the test structure's force displacement response and mode of failure.

It was concluded that predicted fatigue properties by the trained neural network model seem more reasonable compared to approximate methods, which were formerly suggested based on tensile material data.

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