Prediction of effective thermal conductivity of micro-encapsulated phase change composites

Danmei Sun, Muhammad Owais Raza Siddiqui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work a GUI plug-in is developed to predict the effective thermal conductivity of microencapsulated PCM composite via finite element analysis (FEA). The Plug-in is able to automatically generate 3D unit cell of MicroPCMs composite and accurately determine the effective thermal conductivity by applying boundary conditions. The predicted effective thermal conductivity of microencapsulated PCM composites obtained from plug-in have been compared with the results obtained from an approved mathematical model. They are highly correlated. The application of plug-in in textiles is that it can be used to automatically generate and predict the effective thermal conductivity of microencapsulated textile polymer at different level of volume fraction before production.
Original languageEnglish
Title of host publication15th AUTEX World Textile Conference, Bucharest Romania, 10-12 June
Publication statusPublished - 2015
Event15th World Textile Conference - Bucharest, Romania
Duration: 10 Jun 201512 Jun 2015

Conference

Conference15th World Textile Conference
Abbreviated titleAUTEX 2015
CountryRomania
CityBucharest
Period10/06/1512/06/15

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    Sun, D., & Siddiqui, M. O. R. (2015). Prediction of effective thermal conductivity of micro-encapsulated phase change composites. In 15th AUTEX World Textile Conference, Bucharest Romania, 10-12 June