Papers by Author: H.J. Huang

Abstract: As one key technology of Rapid Tooling (RT), Indirect Nonmetal Rapid Tooling (INRT) has been used widely, so this paper analyzed the modeling process of INRT and concluded that the velocity of stirring and casting are key factors which affect products quality and production efficiency. In nature, just need to control the speeds of driving motors. In order to resolve problems of existing modeling equipments, such as strong dependency on operators experience and low control precision, this paper studied an intelligent controller model based on Fuzzy Wavelet Network (FWN) which integrated wavelet analysis and fuzzy neural network technologies. The structure and implementation algorithm of FWN are introduced in detail. After considering the advantages of Permanent Magnet Synchronous Motor (PMSM), the INRT equipments use it as driving motors. Because it is nonlinear, uncertain, coupled, sensitive and multivariable system, this paper made improvement on traditional IP controller, FWN acted as error compensator which can compensate for disturbance influence and trace expected speed in real time. The IP intelligent controller based on FWN can strengthen interference ability. The robustness of this control system has been verified by simulation experiment. This controller realized closed loop control of stirring and casting motor and improved the products quality and control precision of INRT.

Abstract: This paper proposed a new method of automated eliminating bubbles based on vision sense technology because detection and elimination of bubbles of injection materials is key factor which influences the quality of products and hinders realization of full automatic control for the vacuum casting. This method uses vision sensor to replace artificial visual measurement, and adopts processing of the bubbles images to judge the effect of eliminating bubbles instead of experiences of operators. This paper developed a bubbles monitoring control system to realize the automated eliminating bubbles method. The system adopts two-level distributed structure which is consisted of host and slave computers. The slave computer is composed of image acquisition module, controller module and execution module. It is responsible for controlling operation devices to finish vacuum casting. The host computer is responsible for supervisory control which includes human-machine interface module, camera control module and images analysis and processing module. The function of every module is described in detail. The operator is just needed to set relative parameters, and then the system will implement automatically. In a word, the controlling system based on this new method possesses some advantages such as high precision, efficiency and flexibility.