The pumping of liquid metals by magnetohydrodynamic (MHD) converters, without any moving parts are competing with conventional hydraulic pumps. Thus, the movement of the fluid is a consequence of the interaction the magnetic and electric fields. This work relates to the application of an approach for optimal design of a DC magneto-hydrodynamic pump. The optimization method is based on the solution of non-linear constrained problem by combination global and local optimization method. This paper applies the hybrid algorithm by combination of genetic algorithm and Fmincon for optimal design of DC MHD pump. The comparative study of the obtained results shows that the performance of the hybrid method is effectively improved.

The study of the water quality in the shallow aquifer of Tebessa-Morsott was carried out to perform a preliminary assessment of the hydrochemical quality of same groundwater samples and their suitability for irrigation uses. The high salinity coupled with groundwater level decline pose serious problems for current irrigation and domestic water supplies as well as for future exploitation. The statistical treatment of hydrochemical data by principal component analysis revealed two components related to salinity and pollution. The US salinity diagram illustrates that most of the groundwater samples fall in C3S1- C4S1 quality with high salinity hazard and low sodium hazard.

In this article, we present ARPM (Augmented Reality-based Preventive Maintenance) system, which aims at offering to the technician of a Cement Factory a virtual assistance in real time using various forms of 3D models, images or even texts, in order to help him to maintain and inspect his equipment. This system not only offers the possibility of reducing costs of the preventive maintenance, but also allows monitoring and even anticipating failures. In order to ensure a reliable maintenance operation, we adapted our system to be compatible with the CMMS system (Computerized Maintenance Management System) already exists in the Cement factory

In this work, a new robust nonlinear controller is presented in presence of large external disturbances for a quadrotor aircraft. The controller is based on an improved sliding mode control. The improvement is done by adding two other terms, one is a backstepping synthesis and the other one is a fuzzy logic term in order to reduce the chattering phenomenon and achieve more acceptable performance. The dynamical motion equations are obtained by Euler-Newton formalism. Lyapunov theorem is used to prove the stability of control system. A simulation is carried out to illustrate the effectiveness of the proposed control.