Comparative evaluation of roller burnishing of Al6061-T6 alloy under dry and nanofluid minimum quantity lubrication conditions

抛光(金属) 纳米流体 润滑 冶金 材料科学 合金 复合材料 纳米技术 纳米颗粒 抛光
作者
Avinash Somatkar,Rashmi Dwivedi,Satish Chinchanikar
出处
期刊:Obrabotka metallov [Novosibirsk State Technical University]
卷期号:26 (4): 57-74
标识
DOI:10.17212/1994-6309-2024-26.4-57-74
摘要

Introduction. Roller burnishing is one of the most popular methods for improving the surface quality of a workpiece, increasing its wear resistance, microhardness and corrosion resistance. During the processing, the workpiece is compressed and smoothed under the pressure of hardened roller. Purpose of the work. The results of the research show that the introduction of minimum quantity lubrication (MQL) during roller burnishing makes it possible to increase the efficiency of the process by reducing friction and improving lubrication. Studies have shown that the use of nanofluids under MQL conditions improves the machining performance. However, very little attention has been paid to the roll burnishing of Al6061-T6 alloy under nano minimum quantity lubrication (NFMQL) conditions. The methods of investigation. In light of this, this study compares the performance of roll burnishing of Al6061-T6 alloy under dry friction conditions and NFMQL conditions. The microhardness, roundness, and surface roughness are evaluated, modeled, and optimized in the study by considering the cutting speed, feed rate, and number of passes. Based on the experimental results, mathematical models are established to predict the surface roughness, microhardness, and roundness deviation. Results and Discussion. The developed models of surface roughness, microhardness and roundness deviation show the R-square value higher than 0.9, which allows these models to be confidently used to predict the studied responses under dry friction conditions and under NFMQL conditions within the parameter domain selected in this work. According to this study, the machining performed in four passes at a cutting speed of 357 rpm and a tool feed of 0.17 mm/rev can obtain the lowest roundness deviation (3.514 μm), the best microhardness (130.19 HV) and the lowest surface roughness (0.64 μm). Further, the study shows that increasing the number of passes (more than four) does not lead to a significant improvement in surface roughness or microhardness. However, it leads to a slight increase in roundness deviation. Therefore, it is recommended to use a maximum of four passes during roll burnishing of Al6061-T6 aluminum alloy specimens under dry friction conditions to achieve optimal results. The obtained results imply that roller burnishing can effectively improve the overall surface quality and hardness of the workpiece. In addition, roller burnishing is regarded as an affordable method to enhance the functionality and strength of the machined parts by reducing the occurrence of surface defects such as scratches and cracks. It is found that the surface roughness decreases with the increase of the cutting speed. However, it is observed to increase under both dry friction and NFMQL conditions when the cutting speed is increased to 360–380 rpm. Moreover, it is found to decrease with the increase of the feed and the number of passes. But after three or four passes at a feed rate of 0.2–0.25 mm/rev, a noticeable increase in the surface roughness is observed. It is noticed that with the increase of the feed, the microhardness and the roundness deviation increase. In addition, as the number of passes increases, the roundness deviation decreases and the microhardness increases. The number of passes under dry friction condition and feed rate under NFMQL rolling has significant effects on the surface roughness. The cutting speed seems to have the greatest effect on the microhardness, followed by feed rate and the number of passes. On the other hand, the effect of increasing microhardness under NFMQL conditions seems to be stronger. Under dry friction condition, the cutting speed has a significant effect on the roundness deviation, and under NFMQL conditions, the feed rate has an effect.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
壮观斓发布了新的文献求助10
刚刚
2秒前
Sy完成签到,获得积分10
2秒前
2秒前
3秒前
机灵山河发布了新的文献求助10
4秒前
4秒前
kongo完成签到,获得积分10
4秒前
minmi完成签到,获得积分10
6秒前
6秒前
6秒前
深情安青应助不能吃了采纳,获得10
6秒前
lcsw发布了新的文献求助10
7秒前
junjunjun完成签到,获得积分10
7秒前
7秒前
细腻初雪发布了新的文献求助10
8秒前
FashionBoy应助dgdsnfds采纳,获得10
8秒前
wenputang完成签到,获得积分20
9秒前
Luckyhai完成签到,获得积分10
9秒前
愿好完成签到,获得积分10
9秒前
绵羊小姐应助zz采纳,获得40
10秒前
迷人眼神发布了新的文献求助10
10秒前
大个应助san采纳,获得10
11秒前
11秒前
bber完成签到 ,获得积分10
11秒前
junjunjun发布了新的文献求助10
11秒前
12秒前
CodeCraft应助tufei采纳,获得10
12秒前
12秒前
12秒前
ITACHI完成签到,获得积分10
12秒前
能干砖头应助小明采纳,获得10
13秒前
13秒前
13秒前
Derik完成签到,获得积分10
14秒前
KinoFreeze完成签到 ,获得积分10
15秒前
16秒前
Sebastian发布了新的文献求助20
16秒前
17秒前
Orange应助zyh采纳,获得10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Prompt Engineering for Clinicians: Harnessing AI in Everyday Medical Practice 600
University Physics for the Life Sciences 500
REAL-WORLD EFFICACY AND GENOMIC LANDSCAPE OF POLATUZUMA VEDOTIN-BASED FIRST-LINE THERAPY IN DIFFUSE LARGE B-CELL LYMPHOMA: A FOCUS ON TP53 MUTATIONS AND TREATMENT RESPONSE 500
Handbook of Luminescence Dating 500
Safety Pharmacology 500
《KNN基无铅压电陶瓷电学性能优化与物理机理研究》 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6954499
求助须知:如何正确求助?哪些是违规求助? 8638288
关于积分的说明 18318668
捐赠科研通 6398895
什么是DOI,文献DOI怎么找? 3083309
关于科研通互助平台的介绍 2129412
邀请新用户注册赠送积分活动 2060065