| Rapid tooling (RT) technology has being become a new manufacturing mode due to its fast response ability to the market, and good economical benefits. The technology could also solve a lot of problems which can't be done by the traditional techniques. Because there are many behaviors, such as rheology, kinetics, thermodynamics etc., will affect the molding process, the research on these behaviors and their influences to the process is very importment The results of the research could guide to select processing parameters reasonably. In this thesis a comprehensive analysis on rapid tooling and molding process has been made based on the applied experiences. The numerical simulation mothod, modern experiment technology, and intelligent control theory were applied to research the influencing factors of the reactive molding process, parameter optimizing method, and the intelligent control system of molding equipment. A lot of simulations and analyses have been made in order to verifying the results of the research. These results will promote the research of RT, and will help to solve some key problems.The main contributions in this dissertation are summed up as follows.(1) By analyzing the typical molding process, some importent technical characteristics are summarized.The principle of rapid tooling and molding are investigated deeply according to the method of molding, material system, and the physical and chemic process. The technical research system is refered, and several issues related to key technologies to RT molding are proposed and detailed discussion including the behavior of rheology with injection process and the method of optimizing technics parameters, kinetics and thermodynamics of molding and the relationship with technics and the qualities of parts, as well as the intelligent control on the molding equipment, etc.(2) A method of matching the low-pressure injection parameters optimally is presented according to the principle of numerical simulation and orthogonal experiment. The optimal average bulk conversion and average shear rate are selected... |
