Since the 3D printing technology was applied to metallic materials, the conformal cooling channel has been widely utilized for injection mold with a higher cooling efficiency. The conformal cooling channel provides higher degree of freedom in shape and size. It is more effective to apply it to convex core accumulating more heat than the concave side. However, there has not been a standard design method for the conformal cooling channel. Depending upon channel design, the cooling efficiency would not be improved. Sometimes dead flow zones could be made in the channel. Currently every engineer makes the cooling channel design of his own. In this work, we proposed an automated optimum design method for the conformal cooling channel. In the proposed design method, whole product surface is divided into smaller domains with equal thermal energy by Voronoi diagram algorithm. Then cooling channels are installed along the centers of the domains by a binary branching algorithm. The objective of the optimization was the minimization of the product surface temperature deviation. The cooling channels are branching out over the product surface through the evolutionary steps until the objective was satisfied. The injection molding CAE analysis was done by Moldflow, and the optimization by PIAnO. The sample product was an eye-glass lens product.

The gloss transition defect of injection-molded surfaces should be mitigated because it creates a poor impression of product quality. Conventional approaches for the suppression of the gloss transition defect employ a trial-and-error approach and additional equipment. The causes of the generation of a low-gloss polymer surface and the surface change during the molding process have not been systematically analyzed. This article proposes the causes of the generation of a low-gloss polymer surface and the occurrence of gloss transition according to the molding condition. The changes in the polymer surface and gloss were analyzed using gloss and topography measurements. The shrinkage of the polymer surface generates a rough topography and low glossiness. Replication to the smooth mold surface compensates for the effect of surface shrinkage and increases the surface gloss. The surface stiffness and melt pressure influence the degree of mold surface replication. The flow front speed and mold temperature are the main factors influencing the surface gloss because they affect the development rate of the melt pressure and the recovery rate of the surface stiffness. Therefore, the mold design and process condition should be optimized to enhance the uniformity of the flow front speed and mold temperature.

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It is important to construct a firm basis for accusing potential violators of academic integrity in order to avoid spurious accusations and false convictions. Educational researchers have developed many statistical methods that can either uncover or confirm cases of cheating on tests. However, most of them rely on simple correlation-based measures, and often fail to account for patterns in responses or answers. In this paper, we propose a new statistical index denoted by a Standardized Signed Entropy Similarity Score to resolve this difficulty. In addition, we apply the proposed method to analyze a real data set and compare the results to other existing methods.