基于近红外的工业木片基本密度、水分和较高热值评估模型

IF 2.2 3区农林科学 Q1 MATERIALS SCIENCE, PAPER & WOOD Wood Material Science & Engineering Pub Date : 2024-07-11 DOI:10.1080/17480272.2024.2374377

Sâmara Magdalene Vieira Nunes, Thalles Loiola Dias, Talita Baldin, Edy Eime Pereira Baraúna, Paulo Ricardo Gherardi Hein

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引用次数: 0

摘要

对木材进行快速有效的分类对于优化林业流程至关重要，这就突出了近红外光谱技术的应用。这项研究调查了...

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NIR-based models for the evaluation of basic density, moisture and higher heating value of industrial wood chips

The quick and efficient classification of wood is crucial for optimizing processes in forestry industries, which highlights the use of near infrared (NIR) spectroscopy. This study investigated the ...

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来源期刊

Wood Material Science & Engineering Materials Science-General Materials Science

CiteScore

3.90

自引率

13.60%

发文量

131

审稿时长

79 days

期刊介绍： Wood Material Science and Engineering is a multidisciplinary and international journal with the aim to serve at the forefront of the wood science and technology field. The journal publishes original articles on basic and applied research dealing with: -Wood material science with emphasis on: water-wood relations, wood durability, wood modification, wood mechanics, wood composites, engineered wood products, energy conversion and eco-efficient wood based products. -Wood engineering, i.e. the application of the wood material science to designing, processing and manufacturing of forest products and the use of machines and processes for these products. Products of concern are biofuels, sawn wood and further refined products such as structural elements, interior fittings and furnishings. In this aspect the link between the nature of the wood material and the properties of the final wood products in-service and its impact on the environment is of outmost importance. High quality review papers may also be accepted but the topic should be discussed with the editor before submission.