The response model showed the dependence of tensile strength on coating thickness, NH3/BCl3 gas flow ratios and time.
A direct full-model computation offers the most accurate response, unfortunately without producing analytical expressions for the response model.
Meanwhile the validity of the response model was confirmed by a good agreement between predicted and experimental results.
The validity of the response model was verified by a good agreement between predicted and experimental results.
This study primarily aims to improve the reliability of rubber components accounting for six-sigma quality level via the response model.
The response model to be optimized is not built from a pre-defined number of design experiments but is adapted and refined during the optimization routine.
One possible approach is to create an accurate model of the printed circuit board's (PCBs) dynamic response; subsequently, the failure probability can be determined by comparing the response model with corresponding failure criteria for the electronic components.
In principle the response model can be achieved by a very detailed finite element (FE) model of the PCB which would include the mass and stiffness of all components present on the PCB.
The MCS method is presented as an appealing alternative, since its efficiency does not depend neither on the response model nor on the statistics of the pressure data, but only on the number of simulations.
When R 2 approaches unity, the better the response model fits the actual data.
The lower value of CV indicates the relatively better reliability of the response model.
