Oxidation into CO2 is a major solution to CO abatement in air depollution treatments. The development of catalytic converters led to an extraordinary high number of publications on metal catalysts during the last fifty years. Due to the increasing price of noble metals and to remarkable progresses in oxide syntheses, catalytic oxidation of carbon monoxide over oxide catalysts has recently gained in interest, even if some oxides are known to present remarkable activity since the beginning of the 20th century. In this Review, the kinetics and mechanism of CO oxidation on single and mixed oxides are examined, alongside the catalyst structures

Catalytic Oxidation of Carbon Monoxide over Transition Metal Oxides

Optimization Techniques with FORTRAN

A large number of studies can be found in the literature regarding the production of new catalysts for methanol steam reforming. This work summarizes the latest developments on catalysts for this application and is divided in two main groups: copper-based and group 8–10 metal-based catalysts. In each section, the strategies proposed by several authors to enhance the performance of the catalysts are described. An overall comparison between the two groups shows that copper-based catalysts are the most active ones, while the 8–10 group catalysts present better results in terms of thermal stability and long-term stability. Very promising results were reported for both groups, enhancing the value of methanol as a hydrogen carrier for fuel cell applications.

Catalysts for methanol steam reforming—A review

The progress in water gas shift and steam reforming hydrogen production technologies – A review

Recent progress in selective CO removal in a H2-rich stream

Kinetics of CO and H2 oxidation over CuO-CeO2 catalyst in H2 mixtures with CO2 and H2O

Steam reforming and oxidative steam reforming of methanol over CuO–CeO2 catalysts

Performance of copper–ceria catalysts for water gas shift reaction in medium temperature range

The coordinated and synchronized control of the motion of multiple axes is a challenging problem in motion control fields. In most multiaxis applications, controllers are usually designed for each of the motion axes, which results in a collection of decoupled single input and single output systems. For coordinated motion, however, decoupling sometimes causes damage to the overall performance objective. Therefore, a better way to control multiaxis systems is to introduce intelligent control actions in the controller so that the coordination objective of the desired motion is maintained. A method for achieving the synchronization of two motion axes using a neural network is described. We introduce a new cost function for better synchronization performance. Also, we derive a learning law to adjust the weights of the neural network, based on the gradient algorithm. The derived learning law guarantees good synchronization performance of two motion axes. Simulation and experimental results demonstrate the usefulness of the proposed scheme to synchronize the motion of multiple axes.

Hyun Chan Lee

Papers

Kinetics of CO and H2 oxidation over CuO-CeO2 catalyst in H2 mixtures with CO2 and H2O

Steam reforming and oxidative steam reforming of methanol over CuO–CeO2 catalysts

Performance of copper–ceria catalysts for water gas shift reaction in medium temperature range

A neuro‐controller for synchronization of two motion axes

Steam reforming of methanol over structured catalysts prepared by electroless deposition of Cu and Zn on anodically oxidized alumina