Comparison of physico-chemical and thermo-mechanical properties of sungkai (Peronema canescens Jack.), sengon (Falcataria moluccana (Miq.) Barneby & J.W. Grimes), and teak (Tectona grandis L.f.) wood veneers

Adik Bahanawan, Yeyen Nurhamiyah, Nissa Nurfajrin Solihat, Widya Fatriasari, Petar Antov, Seng Hua Lee
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Abstract

Sungkai (Peronema canescens Jack.), sengon (Falcataria moluccana (Miq.) Barneby & J.W. Grimes), and teak (Tectona grandis L.f.) are some of the main fast-growing species in Indonesia. Limited research data on the physicochemical and thermo-mechanical properties of these wood species represents a significant drawback for their enhanced industrial utilization. This study aimed to evaluate the properties of these three kinds of wood according to their colour by applying the CIELab colour measuring system, chemical composition by Fourier-transform Infrared Spectroscopy (FTIR), and Pyrolysis–gas Chromatography–Mass Spectrometry (Py-GC/MS) analyses, and the thermo-mechanical properties by Thermogravimetric Analysis (TGA) and Dynamic Mechanical Analysis (DMA). The higher colour quantification (E*) value indicated brighter wood having higher carbohydrate and lower lignin content according to Py-GC/MS results. Besides, the colour may be attributed to the higher phenolic and extractive content. The order of woods from the highest to the lowest phenolic content was teak > sengon > sungkai. Meanwhile, DMA analysis revealed that sungkai had the highest storage modulus, followed by teak and sengon. The findings of this study suggested that the properties of wood could be predicted based on its colour appearance, which could be used in industrial applications for rapid identification of wood properties.
sungkai (Peronema canescens Jack.)和sengon (Falcataria moluccana (Miq.))的理化和热力学性能比较Barneby,J.W. Grimes)和柚木(Tectona grandis l.f.)木饰面
Sungkai (Peronema canescens Jack.), sengon (Falcataria moluccana .)barneby&j.w. Grimes)和柚木(Tectona grandis l.f.)是印度尼西亚主要的速生树种。对这些木材的物理化学和热机械性能的研究数据有限,这是提高其工业利用的一个重大缺陷。本研究采用CIELab颜色测量系统,傅里叶变换红外光谱(FTIR)、热解-气相色谱-质谱(pygc /MS)分析化学成分,热重分析(TGA)和动态力学分析(DMA)对这三种木材的热力学性能进行了评价。色度定量(E*)值越高,说明木材越亮,碳水化合物含量越高,木质素含量越低。此外,颜色可能归因于较高的酚和提取物含量。木材中酚类物质含量由高到低依次为柚木>松木>松木。与此同时,DMA分析显示,sunkai的储存模量最高,其次是柚木和sengon。本研究结果表明,木材的性质可以根据其颜色外观来预测,这可以在工业应用中用于快速识别木材的性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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