Papers by Keyword: Uniform Design of Experiment

Abstract: To optimize injection molding warpage, this paper applies the uniform design of experiment method to search for the optimal injection molding processing parameters. The warpage. simulation analysis is accomplished by emplying Moldflow software. The melt temperature, mold temperature, injection time and packing pressure are regarded as processing parameters, and processing parameters are optimized through establishing a regression equation, and the optimization result and influence factors are analyzed. The results show that uniform design of experiment can reduce number of experiments used effectively and the quality of the product is greatly improved by the optimization method.

Abstract: Injection moulding is an efficient means for producing plastic products in large quantities. Warpage deflection is one of the most severe defects occurring to the moulded plastic parts. In this paper, we report a novel method for reducing warpage deflection by applying a Uniform Design of Experiment (UDE) method. UDE is an experimental approach that is able to distribute experiments evenly within experimental space, especially when large number of experimental levels is necessary. We describe the method with a case study, for which the experimental table is developed and the procedure for the application of the method is elaborated. The results demonstrate that the method is effective for reducing injection moulding warpage deflection, and it is relatively more efficient than other means of DOE (Design of Experiment) approaches

Abstract: This paper presents the optimization process of a surface roughness model for the milling 1Cr18Ni9Ti. The model is developed in term of milling speed, feed per tooth and radial depth of cut. Therefore, the regression model predicting formula for surface roughness has been established by means of uniform design of experiment, and then the response surface methodology was applied to generate response contours of surface roughness. The experimental results indicate that the material removal rate can be improved by selecting optimal milling parameters without increasing the surface roughness. Moreover, it is seen that the feed rate is the most significant factor on the surface roughness.