Abstract: The superhydrophobic surface is widely used to reduce
friction for the flow inside micro-channel and can be used to
control/manipulate fluid, cells and even proteins in lab-on-chip.
Fabricating micro grooves on hydrophobic surfaces is a common
method to obtain such superhydrophobic surface. This study
utilized the numerical method to investigate the effect of eccentric
micro-grooves on the friction of flow inside micro-channel. A detailed
parametric study was conducted to reveal how the eccentricity of
micro-grooves affects the micro-channel flow under different grooves
sizes, channel heights, Reynolds number. The results showed that
the superhydrophobic surface with eccentric micro-grooves induces
less friction than the counter part with aligning micro-grooves, which
means requiring less power for pumps.
Abstract: In inspection and workpiece localization, sampling point data is an important issue. Since the devices for sampling only sample discrete points, not the completely surface, sampling size and location of the points will be taken into consideration. In this paper a method is presented for determining the sampled points size and location for achieving efficient sampling. Firstly, uncertainty analysis of the localization parameters is investigated. A localization uncertainty model is developed to predict the uncertainty of the localization process. Using this model the minimum size of the sampled points is predicted. Secondly, based on the algebra theory an eigenvalue-optimal optimization is proposed. Then a freeform surface is used in the simulation. The proposed optimization is implemented. The simulation result shows its effectivity.