Development of Mathematical Model and Characterization of Internal Surface Obtained by Elasto-Abrasives Magneto-Spiral Finishing (EAMSF)

磨料 材料科学 磁场 表面粗糙度 复合材料 表面处理 表面光洁度 机械工程 工程类 物理 量子力学
作者
Shivam Yadav,Amit Sangoi,Raju Pawade
出处
期刊:Journal of Manufacturing Science and Engineering-transactions of The Asme [ASM International]
卷期号:144 (11) 被引量:2
标识
DOI:10.1115/1.4054936
摘要

Abstract The implantation of stents and instruments with capillary action demands super-finished internal surfaces of the manufactured product. Elasto-abrasives magneto-spiral finishing (EAMSF) is the attempt made in this paper to enhance finishing productivity by incorporating the abrasive flow in spiral motion due to the presence of the magnetic field. Here, novel impregnated elasto-magnetic abrasive particles (IMPs) are used in a magnetic field-assisted environment to polish the inner walls of the workpiece. In EAMSF, magnetic force provides excess finishing pressure to the abrasives. In contrast, the high-impact polystyrene (HIPS) elasticity absorbs the extra force of the IMPs on the finishing surface. An Indigenous mathematical relation considering the physics of this superfinishing process indicating material removal shows a close resemblance to the experimental results with an error percentage of 1.03 has been developed. The results of the experimentation reveal that 50% concentration of abrasives and a magnetic field density of 18mT yield a superior surface finish with a Ra value equal to 0.053 µm and maximum material removal of 6.9 mg, while in the absence of a magnetic field, excellent surface finish with a Ra = 0.266 µm and maximum material removal of 5.4 mg is achieved. In the presence of magnetic field density, significant enhancement of material removal, surface finish, and burr removal is observed. Finishing the surface at 50% abrasive concentration with a magnetic field represents regular finishing, and the trench marks on the original surface are removed after finishing.
最长约 10秒,即可获得该文献文件

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
爪子发布了新的文献求助10
1秒前
1秒前
2秒前
陆陆发布了新的文献求助10
3秒前
我爱科研发布了新的文献求助10
3秒前
完美世界的应助被出保函费采纳,获得10
4秒前
4秒前
lx的应助被razor采纳,获得10
4秒前
5秒前
HIBARA发布了新的文献求助10
5秒前
田様的应助被程佳运采纳,获得10
5秒前
renbaobei完成签到,获得积分10
6秒前
8秒前
9秒前
共享精神的应助被泡芙小姐采纳,获得10
9秒前
9秒前
samgood发布了新的文献求助10
10秒前
yandong发布了新的文献求助10
10秒前
13秒前
13秒前
七星嘿咻发布了新的文献求助10
13秒前
zkx发布了新的文献求助10
14秒前
15秒前
拓力库海发布了新的文献求助10
15秒前
molihuakai的应助被226一点采纳,获得10
15秒前
15秒前
情怀的应助被Shi___yi采纳,获得10
16秒前
16秒前
科研通AI6.4的应助被LULU采纳,获得10
18秒前
18秒前
负责月光发布了新的文献求助10
20秒前
gudaobo完成签到,获得积分10
21秒前
李依雪发布了新的文献求助10
22秒前
秋风的应助被橘子采纳,获得10
22秒前
22秒前
司马绮山发布了新的文献求助10
22秒前
阿树完成签到,获得积分10
23秒前
桐桐的应助被yyy采纳,获得10
24秒前
26秒前
杨润恒完成签到,获得积分10
27秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805047
求助须知:如何正确求助?哪些是违规求助? 9338676
关于积分的说明 20492464
捐赠科研通 7397030
什么是DOI,文献DOI怎么找? 3327649
关于科研通互助平台的介绍 2474536
邀请新用户注册赠送积分活动 2345768