Sentence examples for material processing parameters from inspiring English sources

There are two critical components of connecting material and structural design in a multiscale design process: (1) relate material processing parameters to the microstructure that arises after processing, and (2) stochastically characterize and subsequently reconstruct the microstructure to enable automation of material design that scales upward to the structural domain.

They give us an optional approach to optimize the material processing parameters as well as other engineering problems.

Another set of algorithms is proposed to connect the material processing parameters with the resulting microstructure by mapping nonlinear, nonphysical regression parameters in microstructure correlation functions to a physically based, simple regression model of key material characteristic parameters.

The material processing parameters of CarbonFlex, i.e., the matrix thickness, hp, and an intermittent curing time, tc, show to be evidently influential on the impact resistance capability of the CarbonFlex panels where the resistance generally increases with smaller values of tc and with greater values of hp.

In this work, the effects of controlled material and processing parameters on the pressure variations, process cycle times and ultimately on the surface quality of RTM molded components were investigated.

Furthermore, the influence of material and processing parameters on O-forming gap is numerically investigated.

For body panels, the material and processing parameters must be optimized in order to achieve a Class A surface finish.

The effects of many material and processing parameters on the properties of polymer nanocomposites containing silicate layers (nanoclay), carbon nanotubes (CNT), and inorganic fillers such as silica (SiO2), and calcium carbonate (CaCO3) have been investigated [5 8].

Therefore, it is important to adjust the material and processing parameters to prevent the aggregation/agglomeration of nanoparticles that promote stress concentration and defects or debonding in polymer nanocomposites [37, 38].

A kinetic Monte Carlo simulation of mechanical alloying that accounts for a phase strength mismatch reproduced the experimentally observed behaviors, and provides quantitative insight into the combination of material and processing parameters that control mechanical mixing.

It is demonstrated that once the key geometric, material and processing parameters are incorporated in the models, the simulations reproduce the experimental results both qualitatively as well as quantitatively.