Enhancing face-milling efficiency of wood–plastic composites through the application of genetic algorithm–back propagation neural network

IF 2.2 3区农林科学 Q1 MATERIALS SCIENCE, PAPER & WOOD

Wood Material Science & Engineering Pub Date : 2024-08-12 DOI:10.1080/17480272.2024.2388844

Zhaolong Zhu, Dietrich Buck, Meiqi Song, Qi Tang, Jun Guan, Xueliang Zhou, Xiaolei Guo

引用次数: 0

Abstract

Wood–plastic composites (WPCs) have advanced physicochemical properties and are widely applied in various fields. How to achieve high-efficiency, high-quality machining of WPC is a pressing issue t...

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应用遗传算法-反向传播神经网络提高木塑复合材料的铣面效率

木塑复合材料（WPC）具有先进的物理化学性能，被广泛应用于各个领域。如何实现木塑复合材料的高效率、高质量加工是一个亟待解决的问题。

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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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.