In this study, an adaptive optimization method based on artificial neural network model is proposed to optimize the injection molding process. The optimization process aims at minimizing the warpage of the injection molding parts in which process parameters are design variables. Moldflow Plastic Insight software is used to analyze the warpage of the injection molding parts. The mold temperature...

design and analysis software solutions for composite structures for more than two decades. The software is continuously upgraded to reflect new research findings as well as to capitalize on advances in computing technology. Software applications such as CDS2.0, LIMS and MAT162 are used extensively by researchers at UD-CCM and industrial sponsors to predict material properties and behavior durin...

Selective Laser Sintering (SLS) provides a way to fabricate graphite composite bipolar plates, which significantly reduces time and cost at the research and development stage of bipolar plates, as compared with the conventional fabrication methods of compression molding and injection molding. Different graphite materials (natural graphite, synthetic graphite, carbon black, and carbon fiber) wer...

Product quality for plastic injection molding process is highly related with the settings for its process parameters. Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices. To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and ...

Mass production of microfluidic devices commonly relies on injection molding. Injection molding requires a master surface made using micro or nanofabrication. Conventionally, electroplating from silicon is used for mold insert production, but this expensive and cannot be with masters produced via the Bosch process as interlocking scalloping between polymer metal hinders part ejection. Here, an ...