Open AccessApplication of Response Surface Methodology Models for Dimensional Stability of Hydrothermally Treated Semantan Bamboo
Author(s) -
A. Zaidon,
Seng Hua Lee,
Juliana Abdul Halip,
Wei Chen Lum,
Ching Li
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1089.0782s419
Subject(s) - bamboo , response surface methodology , stability (learning theory) , materials science , chemical engineering , composite material , chemistry , chromatography , computer science , engineering , machine learning
Semantan bamboo (Gigantochloa Scortechinii) was hydrothermally treated in three different buffered media, namely alkaline, neutral and acidic medium. Response surface methodology (RSM) models were developed for the influences of treatment temperature, treatment duration and pH of buffered media on dimensional stability of Semantan bamboo. The models suggested that treatment temperature is the most crucial factor that led to improvement in dimensional stability. Lengthened treatment time also exerted noticeable influence when the temperature remained constant. More dimensionally stable samples were obtained in neutral and alkaline media.