仿生非光滑表面磨损试验方案设计的研究

非光滑表面对耐磨性有影响,并且不同的非光滑表面对耐磨性的影响是不同的。为了研究非光滑形态凹坑的耐磨性规律,分别进行了非光滑凹坑表面磨损试验D-最优设计和2种均匀试验方案设计的研究。考虑到各种实际条件,综合比较最后选择以将温度为条件因素,大小、距离、分布、速度、负荷、时间为试验因素的均匀设计方案来进行试验。     

仿蜣螂虫凹坑形镐形截齿的设计与研究

采煤机截齿齿体的耐磨性能直接影响截齿的使用寿命。在分析对比了现有的截齿齿体耐磨技术的基础上,通过对仿生学中凹坑形非光滑表面的耐磨机理分析研究,设计出了一种齿体带有凹坑形非光滑表面的截齿齿体结构,并进行了模拟的摩擦磨损试验。通过对16种不同参数凹坑结构的摩擦磨损试验结果研究表明,凹坑形非光滑表面结构的耐磨性相对于光滑表面有显著的提升,并通过正交试验分析了凹坑形仿生非光滑结构各参数对耐磨性的影响。     

水压马达仿生非光滑表面配流副摩擦磨损研究

为探寻低速大扭矩水压马达仿生非光滑表面配流副摩擦磨损性能,采用精密加工技术在碳纤维增强PEEK试样表面加工出不同形状的仿生非光滑凹坑,与316L不锈钢形成摩擦副,利用MMD-5A多功能摩擦磨损试验机在海水润滑条件下,对其在不同面积占有率下的摩擦因数、磨损率等参数进行测试,考察其凹坑面积占有率对摩擦副摩擦磨损的影响,利用OLYMPUS OLS3100激光共焦显微镜对磨损表面进行分析。研究表明:在海水润滑条件下,下试样CF/PEEK在磨擦过程中主要发生了犁沟效应和磨粒磨损,仿生非光滑表面的凹坑可以有效存储磨粒,减轻磨粒磨损,进而起到减摩效果。面积占有率为15%的圆锥形凹坑仿生非光滑表面更利于存储磨屑,因而摩擦因数最低,减磨效果最好。     

仿生非光滑结构的摩擦磨损试验研究

研究了非光滑表面形态对摩擦磨损的影响规律。通过对9种仿生非光滑形态模型试块在JF150DⅡ-型定速式摩擦试验机上进行的润滑摩擦试验表明,光滑试块的润滑及耐磨效果最差,沉坑形试块的耐磨性和润滑性提高不大,而通孔倒角形和通孔形试块能显著提高耐磨性和润滑性,证明了仿生非光滑结构具有良好的耐磨润滑性能,并通过正交试验分析了仿生非光滑形态、分布等因素对润滑的影响效应。     

仿生非光滑油缸密封圈的减阻特性研究

针对油缸密封圈密封性能和摩擦阻力相互制约的问题,提出了仿生非光滑表面减阻技术的方法。以油缸密封圈为研究对象,研究不同活塞速度和仿生凹坑直径与减阻特性的相互关系。仿真结果表明:当压缩率为20%时,仿生非光滑密封圈产生的有效压应力满足了油缸密封圈密封性能;在活塞速度一定且凹坑直径为1.5 mm时减阻率达到最大;在凹坑直径一定时减阻率随着初始速度的增大而不断变大,速度为0.6 m/s时具有较好的减阻效果。     

凹坑形仿生刀齿土壤切削力分析

土壤对疏浚机具的粘附会增加切削阻力、降低切削效率。土壤动物的非光滑表面为疏浚机具的仿生设计提供了参考。非光滑表面切削土壤具有减阻的作用,针对凹坑形非光滑表面的刀齿切削土壤的的受力情况进行理论分析,建立了其土壤切削模型。利用软件Fluent进行了凹坑形光滑表面刀齿在土壤切削过程中的力学分析,结果表明:在一定的土壤条件下,与光滑表面刀齿相比,非光滑凹坑形刀齿粘附对土壤粘附力较小,受到的切削阻力也较小。理论分析和与数值模拟均验证了非光滑凹坑形仿生刀齿能够起到预期的减粘减阻的效果。     

基于MATLAB仿生非光滑形态模拟

仿生学研究发现,生物体表大都相当明显地体现着各种几何非光滑形态。为了研究仿生非光滑表面形态对磨损的影响以及非光滑表面形态自身的参数变化对耐磨性的影响,本文对典型的仿生非光滑形态进行计算机模拟,并设计了优化原则,为制作具有非光滑形态试样提供了数学模型。     

刮板输送机中板仿生耐磨优化试验研究

刮板输送机中板磨损失效已成为输送机运行故障的主要原因之一,为了提高中板耐磨性,基于蜣螂非光滑单元进行了仿生中板设计,以磨损量为响应值,进行了单因素和响应面法优化试验。根据响应面法试验结果得到的因素显著性影响顺序（从高至低）依次为：径向距离,深径比,直径,节距角。基于试验结果建立了磨损量与因素的回归预测模型,经试验对比发现,预测模型与真实试验的相对误差为3.2%。在特定工况（煤散料粒度为6~8 mm、载荷为20 N、刮板链速为0.65 m/s及试验时长为6 600 s）下,当深径比为1.41、直径为0.69 mm、节距角为6.55°和径向距离为4.66 mm时,磨损量最小,仿生中板的耐磨性提高了12.6%。分析其耐磨机理发现,与光滑板相比,仿生板的磨粒磨损及黏着磨损较轻。凹坑分布可破坏持续切削中板表面的煤粒运动状态。中板的仿生优化可为今后刮板输送机的设计提供一定参考。     

仿生非光滑表面对低速大扭矩水压马达配流副承载性能的影响

通过在低速大扭矩水压马达配流盘上设计不同凹坑形仿生非光滑表面,并建立配流副的全水动压润滑模型,基于湍流理论,利用 Fluent 软件研究仿生非光滑表面对低速大扭矩水压马达配流副液膜表面压力分布、承载力的影响。研究表明: 对于低速大扭矩水压马达配流副,在相同凹坑深度和运动速度的条件下,凹坑壁面与液膜表面接触角为锐角时的液膜表面承载力要大于其为直角时的液膜表面承载力;在转速一定时,深度对圆形锥坑的液膜表面承载力的影响很小,在边界润滑的情况下,通过适当增大凹坑深度,可以防止较浅的凹坑由于磨损严重而导致的失效。     

提升轮胎抗滑水性能的仿生方法

提高花纹沟排水能力是提升轮胎抗滑水性能的主要途径之一,借鉴仿生学理念,将凹坑形仿生非光滑结构引入花纹沟,探索研究通过降低花纹沟流体阻力提高花纹沟排水能力的仿生方法。以轮胎接地区单个花纹沟作为研究对象,在沟底布置凹坑形仿生非光滑结构,运用计算流体动力学(Computational fluid dynamics,CFD)和正交试验设计相结合的方法,研究凹坑形仿生非光滑结构对壁面减阻率的影响规律,确定最优参数组合;为进一步提升凹坑形仿生非光滑结构的减阻率,提出一种水滴形凹坑仿生结构,并对其减阻特性进行分析,得出其减阻效果优于圆形凹坑结构;将最优的水滴形凹坑仿生结构布置于花纹沟底部,分析其抗滑水性能。结果表明,水滴形凹坑仿生结构能够减小水流阻力,提高轮胎花纹沟排水量,降低轮胎在水膜上行驶时所受到的胎面动水压力,提升轮胎的抗滑水性能。     

载荷与滑动速度对铜合金磨损的影响

对热型连续定向凝固工艺生产的Cu-0．1Ag合金进行干滑动摩擦磨损实验并将该材料与耐磨性较好的单晶铜进行对比实验。分析讨论载荷、滑动速度等因素对该材料磨损率及磨损表面的影响。实验结果表明：滑动距离、滑动速度对铜合金的磨损有较大影响,而且铜合金的抗磨性能明显优于耐磨性较好的单晶铜。     

Dry sliding wear behaviour of PTFE filled with glass and bronze particles

Abstract

The wear behaviour of polytetrafluroethylene (PTFE) filled with 25% glass and 40% bronze particles was studied on a pin on disc test rig. Solid lubricant composite materials were prepared by compression moulding technique. The wear parameters considered for the study were applied load, sliding speed and sliding distance. The experimental results indicate that the weight loss increases with increasing load, sliding speed and sliding distance, as expected. Sliding distance has more effect on weight loss followed by applied load. The 40% bronze+PTFE composite exhibits better wear resistance compared to other types. The dominant interactive wear mechanisms during sliding of PTFE and its composites are discussed in this paper.     

发动机缸套-活塞环摩擦磨损特性试验研究

利用缸套-活塞环摩擦磨损试验台研究了速度，温度，载荷，供油等因素对缸套-活塞环系统摩擦磨损特性的影响。试验结果表明，缸套-活塞环摩擦副在发动机工作循环中润滑状态不断发生变化。在试验条件下，温度对摩擦磨损有显著影响，载荷和速度对摩擦力的影响较小。     

Ti6Al4V的微磨粒磨损研究

研究了医用Ti6Al4V合金在蒸馏水中的微磨粒磨损行为,考察了载荷、滑行距离、料浆浓度和转速对微磨粒磨损规律的影响,并对微磨粒磨损机制进行了讨论。结果表明:随载荷、滑行距离和料浆浓度的增加,Ti6Al4V合金的磨损量增加,磨损机制由三体磨损转变为混合磨损。     

Ti6A14V的微磨粒磨损研究

研究了医用Ti6A14V合金在蒸馏水中的微磨粒磨损行为，考察了载荷、滑行距离、料浆浓度和转速对微磨粒磨损规律的影响，并对微磨粒磨损机制进行了讨论。结果表明：随载荷、滑行距离和料浆浓度的增加，Ti6A14V合金的磨损量增加，磨损机制由三体磨损转变为混合磨损。     

不同工况下软质丁苯橡胶轮表面磨损颗粒的产生量及磨损机理

采用自行设计的摩擦磨损试验机,研究了磨损时间、载荷、滚动速度、相对湿度对软质丁苯橡胶轮表面产生的磨损颗粒数量和橡胶轮温度的影响,分析了不同工况下的磨损机理;采用正交试验分析了各因素的影响程度.结果表明:磨损颗粒随磨损时间和载荷的增加而增多,随滚动速度和相对湿度的增大而减少;粒径为2.5μm的磨损颗粒数量和橡胶轮温度随各...     

Predictive modelling of dry sliding wear in sealed plasma-sprayed Mo coating using response surface methodology

Plasma spraying is used to produce wear resistant coatings. However, the primary problem is the poor bonding strength between the coating and the substrate. The secondary problem is the high porosity in the as-sprayed coatings, which reduces the wear resistance of coating. In order to overcome these problems, the sealing of plasma-sprayed coating by electrodeposition has been used. The sealing of plasma-sprayed coatings alters the wear mechanism and wear resistance. The wear mechanism and wear resistance largely depends on the applied load, sliding speed and sliding distance. Hence, an effort has been made in the present work to study the effects of these parameters on wear volume loss using response surface methodology (RSM)-based mathematical models. The experiments were conducted as per Central Composite Design (CCD). It reveals that the applied load was the most predominant factor affecting the wear volume loss of the coating material. The sliding speed is the next most important parameter influencing the wear volume loss. The wear volume loss of the sealed plasma-sprayed molybdenum coating occurs mainly due to the formation of grooves, surface tribo films, fracture of splats and delamination of the coating.     

Abrasive Wear Analysis of Plasma-Sprayed LaCeYSZ Nanocomposite Coatings Using Experimental Design and ANN

The abrasive wear characteristics of plasma-sprayed nanostructured yttria-stabilized zirconia (YSZ) coatings on Inconel 718 substrates was evaluated using AFS 50/70-grade silica sand as abrasives. This article depicts the dependence of abrasive wear characteristics of plasma-sprayed nanocomposite LaCeYSZ coatings on abrading distance, keeping the applied load constant. The influence of four operating parameters—that is, load, wheel speed, time, and temperature with four different levels each—on the performance output (i.e., abrasion wear rate) is studied using Taguchi's L₁₆ orthogonal array design and analysis of variance (ANOVA). Out of the four parameters, load has been found to be most significant factor followed, by speed of the abrasive wheel and temperature influencing abrasion. The morphology of the worn-out surface also showed microcutting and small crater formation in the binder matrix caused by the repetitive impacts of abrasive particles. It was observed that coating with nano-LaCeYSZ grains exhibited higher wear resistance compared to conventional YSZ coating and the reason may be attributed to embedded crack-arresting nanozones, which toughen the coating. An artificial neural network (ANN) approach is then implemented taking into account training and test procedures to predict the triboperformance under different operating conditions. This technique helps in saving time and resources for a large number of experimental trials and successfully predicts the wear rate of the coatings both within and beyond the experimental domain.     

Wear behaviour of forging steels with different microstructure during dry sliding

Sliding wear behaviour of two types medium carbon microalloyed steels containing various microstructures was investigated on a 320 mesh SiC paper at a sliding speed of 0.33 m/s with a load of 6 N and sliding duration of 4 min under dry sliding conditions (the sliding distance, 80 m). The experimental results showed that the different microstructures cause a great influence on the wear resistance performance of the steels. Water quenched samples with martensite structure have the highest hardness and wear resistance performance. That is because, water cooled samples contained higher amount of carbon in the solid solution. On the other hand, air or sand cooling from forging temperature results in a decrement of hardness and wear resistance in steel-1 and steel-2. However, air cooled samples showed slightly higher wear resistance than sand cooled samples due to finer grain sizes and the larger pearlite and/or precipitation contributions.