2:30 PM - 3:00 PM

Statistical Data Driven Decision Making for Unsaturated Polyester Resin Formulations



Design of experiment methodology develops thermally stable unsaturated polyester resin formulations by adjusting various resins, catalysts, and promoters. Factorial design and surface plot analysis create the most effective resin formulations. Subsequent plant implementations with statistical process control data analysis confirm the improved surface smoothness of new fiberglass reinforced polymer (FRP) panels. The high gloss FRPs are successfully developed and commercially launched on the target market with multi-million dollars’ sales increase.


Dr. Kim is currently working as a business development manager at Global Materials Research. He is supporting small/mid-size polymer resin companies by material testing, evaluation, and selection based on statistical data analysis. Previously he has worked as a R&D scientist with more than 10 years’ new product development experience for electronics, building materials, and transportation industries. He is taking master of engineering management at Northwestern University. He has a PhD in polymer engineering from The University of Akron, Akron OH.

PRESENTATION: High Gloss FRP Development


Daniel Kim / Business Development Manager, Global Materials Research