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Prediction of Thermal Conductivity and Specific Heat of Native Maize Starch and Comparison With HMT Treated Starch
Author(s) -
Aklouche Leila,
JeanYves Monteau,
Sid-Ahmed Rezzoug,
Thierry Maugard,
Luc Guihard,
S. Cohendoz,
Zoulikha MaacheRezzoug
Publication year - 2019
Publication title -
journal of renewable materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 19
eISSN - 2164-6341
pISSN - 2164-6325
DOI - 10.32604/jrm.2019.04361
Subject(s) - thermal conductivity , starch , corn starch , transient (computer programming) , materials science , conductivity , heat transfer , dependency (uml) , moisture , thermal , maize starch , thermodynamics , composite material , food science , chemistry , physics , computer science , artificial intelligence , operating system

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