An innovative regression model-based searching method for setting the robust injection molding parameters

[[abstract]]This work offers an innovative searching method for setting the robust process parameters based on a regression model. This robust method could effectively reduce the influence of environmental noise on part quality in the injection molding process. This method firstly selects the main parameters of affecting part quality as experimental factors. Secondly, a two-level statistically designed experiment coped with the least squared error method is developed to generate a regression model between part quality and process parameters. Based on this mathematic model, the steepest ascent method is used to search for the optimal process parameters, which produces qualified products and resists the interruption of environmental noise. This innovative approach has two advantages: (1) the regression model used in this method is so simple that the numerical computation is fast; (2) since the model is low order, experimental runs are relatively few. This approach thus intends to meet a balance between experimental cost and robustness performance. To verify the performance, light-guided plate (LGP) molding is applied in this work. By minimizing their volumetric shrinkage as the goal, the mold flow simulation program is initially carried out to find the robust process parameters. Furthermore, many experiments are conducted to verify the replication ability of LGP's microstructures. Overall, the experimental results demonstrate that this searching method for robust process parameters is practical indeed

瀕絕物種烏來杜鵑的族群內遺傳變異研究

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Simulation of a regression-model and PCA based searching method developed for setting the robust injection molding parameters of multi-quality characteristics

[[abstract]]This article proposes an advanced searching method for setting the robust process parameters for injection molding based on the principal component analysis (PCA) and a regression model-based searching method. This method could effectively reduce the influence of environmental noise on molded parts’ multi-quality characteristics in the injection molding process. Firstly, the PCA is utilized to construct a composite quality indicator to represent the quality loss function of multi-quality characteristics. The design of experiment and ANOVA methods are then used to choose the major parameters, which affect parts quality and are called as adjustment factors. Secondly, a two-level statistically designed experiment with the least squared error method was used to generate a regression model between part quality and adjustment factors. Based on this mathematical model, the steepest decent method is used to search for the optimal process parameters. To verify the performance, computer simulations and experiment of the light-guided plate molding were investigated in this work. By comparing the robust qualities using Taguchi method and our proposed method, it is found that our proposed method yields a better uniform production quality

Technical feasibility of a mobile context-aware (social) learning schedule framework

The purpose of this paper is to show the technical feasibility of implementing their mobile context-aware learning schedule (mCALS) framework as a software application on a mobile device using current technologies, prior to its actual implementation. This process draws a set of compatible mobile and context-aware technologies at present and can be used as a reference point for implementing generic mobile context-aware applications. The authors’ mCALS framework retrieves the learner’s location and available time contexts via the built-in learning schedule (i.e., electronic organizer) on a mobile device. These contexts together with the learner’s learning styles and knowledge level (on a selected topic) are used as the basis for the software application to suggest learning materials that are appropriate for the learner, at the time of usage. This retrieval approach eliminates the use of context-aware technologies and the need to directly request the user to enter context information at the time of usage. The authors develop a fully functional prototype of this framework for learners to plan their individual as well as social learning activities amongst one another to make their individual learning processes collaborative and as a way to enhance individual and social learning experiences

Tailoring the interaction between matter and polarized light with plasmonic optical antennas

Tailoring the interaction between matter and polarized light with plasmonic optical antenna