测量波纹钢筒仓壁的摩擦现象

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
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引用次数: 0

摘要

这项工作研究了不同材料(玉米粒、松木颗粒和塑料颗粒)在波纹钢筒仓壁上产生的摩擦力,并检验了用于估算垂直壁上摩擦力的欧洲规范 EN 1991-4 中定义的壁接触系数的有效性。建造了一个带有波纹钢侧壁、甲基丙烯酸甲酯前后壁和可配置底座的模型筒仓,以设定不同的卸料条件。对筒仓壁上不同高度的法向力和切向力以及质量流量指数进行了记录,以确定物料在卸料过程中的流量是否会随着物料粒度的减小而增大。所有测试材料在卸料过程中的法向力和切向力都有所增加,尤其是在筒仓上部。与塑料颗粒和玉米粒相比,松木颗粒显示出更大的内摩擦力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measurement of friction phenomena on silo walls made of corrugated steel

This work investigates the friction generated by different materials (maize kernels, pinewood pellets and plastic pellets) on corrugated steel silo walls and examines the validity of the wall contact factor defined in Eurocode EN 1991–4 for estimating the frictional force on the vertical wall. A model silo was constructed with corrugated steel lateral walls, methacrylate front and back walls, and with a configurable base to set different discharge conditions. Normal and tangential forces at different heights on the silo walls were recorded, along with the mass flow index, to determine whether the flow of the material during discharge was greater with decreasing material particle size. An increase in normal and tangential forces was recorded for all materials tested during discharge, especially in the upper part of the silo. Pinewood pellets showed a greater mobilisation of internal friction as compared to plastic pellets and maize kernels.

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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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