The solubility of Ti and boron in liquid Al in equilibrium with TiB2 was measured by the method of decantation between 1100 and 730 deg C and by electromagnetic separation of the phases at 1000 deg C. The results presented in the usual form of solubility product are in agreement with those previously published and obtained by decantation. It is necessary to introduce the ratio %Ti/%B into the solubility product expression. If this ratio is greater than that in TiB2, the solubility product is given by the relation log (%Ti) x (%B) exp 2 = 1.11--1.039 x 10 exp 4 /T. If the ratio is less than that in TiB2, than log(%Ti) x (%B) exp 2 = --2.875--0.50 x 10 exp 4 /T. 9 ref.--EAA/P.

This paper presents a Genetic Algorithm (GA)- based method to determine the location and size of DG sources in distribution systems using single DG placement algorithm for determining the locations at first. Then, the GA is utilized to determine the global sizes of DG sources which minimize single- or multi-objective function related to these systems. The influence of active- and reactive-power injection on the sizing and placement of DG sources is investigated. The predictions of the proposed method as regards the sizing and placement of DG sources are compared with those obtained before using particle swarm optimization at steady weather conditions.

This paper aims to design a hybrid PD-Fuzzy position controller for high performance linear switched reluctance motor (LSRM). The mathematical model of LSRM is developed and simulated by Matlab/Simulink package. The essential feature of the proposed hybrid PD-Fuzzy controller is to use a PD controller only for coarse position error, then for fine position error LSRM position control is done using a fuzzy logic controller only. New force distribution function (FDF) is proposed to overcome the problems of electromagnetic force ripples due to LSRM nonlinear magnetic characteristics. Through a hysteresis controller, asymmetric three phase power converters can be controlled to drive the LSRM. Simulation results prove the effectiveness of the proposed hybrid PD-Fuzzy controller in position setpoint precise tracking under different loading disturbances and different position setpoint.

This paper presents the design of an adaptive hybrid controller for linear switched reluctance motor (LSRM) to be used in pick and place industrial applications. The hybrid controller consists of two main controllers, the proportional-derivative controller (PDC) and the fuzzy logic controller (FLC). In this paper, the proposed Adaptive hybrid PD-fuzzy logic controller (AHPDFLC) uses, at the beginning, the adaptive PDC (APDC) for coarse position error while for fine position error the position control process is achieved using conventional FLC. This hybrid controller exploits the advantages of both controllers, APDC which can vary its gains online to avoid the overshoot problems and FLC which can decrease the steady-state error to roughly zero value to get an acceptable position tracking response of the underlying LSRM. The adaptivity of the hybrid controller refers to the variation of PDC's proportional and derivative …