仿生条纹形磨辊磨损试验及耐磨机理分析

doi:10.13229/j.cnki.jdxbgxb20170955

摘要/Abstract

摘要：

为了提高辊压机磨辊的耐磨性能,模仿自然界中生物体表形态,在磨辊表面设计并加工出不同深度、不同周向个数的仿生条纹形结构,并根据正交试验设计方案对磨辊进行磨损试验。结果表明:仿生条纹形结构能有效提高磨辊的耐磨性能,条纹深度和条纹周向个数对磨损量均有影响。相较于标准磨辊,仿生磨辊的耐磨性最大可提高72.1%。分析仿生磨辊耐磨机理发现:条纹形结构使磨辊与石英砂接触更加充分均匀,同时减少了石英砂在其表面滑磨的机率,从而优化了磨辊整体及各局部的受力情况,是提高磨辊耐磨性的重要原因。

关键词: 工程仿生学, 耐磨性, 磨损试验, 磨辊, 条纹形

Abstract:

In order to improve the wear resistance of grinding roller, imitating the form of biological surface morphology in nature, we designed and machined the bionic stripe structure with different depths and different circumferential numbers on the surface of the roller. The wear test of the grinding roller was carried out according to the design scheme of orthogonal test. The results show that the bionic stripe structure can effectively improve the wear resistance of the roller. Both the stripe depth and the number of stripe circumferences influence the wear amount. Compared with the standard roller, the maximum wear resistance of the bionic grinding roller increases by 72.1%. Analysis of the wear resistance mechanism of bionic grinding roller suggests that, the stripe structure makes the grinding roller contact with the quartz sand more fully and evenly, and the slippery grinding probability of quartz sand reduces on the roller surface at the same time, thus the overall and local stress conditions of the grinding roller are optimized, which is an important reason to improve the wear resistance of the roller.

Key words: engineering bionics, wear resistance, wearing test, grinding roller, stripe shape

中图分类号:

TH69

熙鹏,丛茜,王庆波,郭华曦. 仿生条纹形磨辊磨损试验及耐磨机理分析[J]. 吉林大学学报(工学版), 2018, 48(6): 1787-1792.

XI Peng,CONG Qian,WANG Qing-bo,GUO Hua-xi. Wear test and anti-friction mechanism analysis of bionic stripe grinding roll[J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1787-1792.

图/表 7

图1

图2

表1

试验方案与结果分析表"

因素序号	条纹深度H/mm	条纹个数N/个	y_总/g
1	0.6	60	5.78
2	0.6	70	7.105
3	0.6	80	5.68
4	0.8	60	4.26
5	0.8	70	6.925
6	0.8	80	10.145
7	1.0	60	2.67
8	1.0	70	3.675
9	1.0	80	7.04
10	0	0	9.57
$y - j 1$	6.19	4.24	$∑ i = 1 9 y i = 62.94$
$y - j 2$	7.11	5.90
$y - j 3$	4.46	7.62
$R j$	2.65	3.39
主次因素	N(条纹个数),H(条纹深度)
最优组合	H₃N₁

表1

图3

图4

图5

图6

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