Improving accuracy of mold filling simulations with experimental data from fast scanning chip calorimetry

M. Anne, M. Alicyn, Jason L. Williams, David Okonski, René Androsch

Research output: Contribution to conferencePaper

Abstract

In this study, mold filling simulation crystallization data were compared with experimental data collected with a fast scanning chip calorimeter. This new technique gives the opportunity to collect data at higher cooling rates, which mimic the injection molding process. Experimental data showed that the crystallization temperature depends on the cooling rate, which is neglected in previous models implemented in the simulation software. It is suggested to modify the simulation software crystallization data in order to account for more realistic prediction of the crystallization process and, consequently, microstructure formation affecting properties.

Original languageEnglish (US)
StatePublished - Jan 1 2018
Event2018 Society of Plastics Engineers Annual Technical Conference, ANTEC 2018 - Orlando, United States
Duration: May 7 2018May 10 2018

Conference

Conference2018 Society of Plastics Engineers Annual Technical Conference, ANTEC 2018
CountryUnited States
CityOrlando
Period5/7/185/10/18

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All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Polymers and Plastics

Cite this

Anne, M., Alicyn, M., Williams, J. L., Okonski, D., & Androsch, R. (2018). Improving accuracy of mold filling simulations with experimental data from fast scanning chip calorimetry. Paper presented at 2018 Society of Plastics Engineers Annual Technical Conference, ANTEC 2018, Orlando, United States.