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A simple plasticity model in conjunction with the obtained stress-strain curves is implemented and utilized to develop a phenomenological model that enables correlating global stress with the locally developed strain at different locations in a composite specimen subjected to off-axis tensile load.
These method is utilized to develop a relation between input parameters and performance characteristics.
Later, the research findings were utilized to develop a new navigational technique.
The discrete-state Markov process is utilized to develop a model of maintenance decisions.
Numerical modeling was utilized to develop a conceptual understanding of the four phases and to identify the governing processes.
Here 3D printing technology is utilized to develop a versatile and scalable approach to guide vascularisation during endochondral bone repair.
The probe 7 has shown strong affinity for Hg2+ and has been utilized to develop a stable ensemble, 7·Hg2+.
All these data are utilized to develop a non-linear second order regression model between the responses and predictors.
The results of analytical model application are utilized to develop a thermal flow microsensor with optimal functional characteristics.
The experimental measurements along with the topological details of the polishing pad have been utilized to develop a mechanistic model of the process.
These quantitative data are utilized to develop a six parameter computer simulated microstructure model that is statistically equivalent to the non-uniform microstructure of the CMC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com