Finite element and experimental analysis of surface integrity and surface roughness of precision machining SiCp/Al

材料科学 机械加工 表面完整性 表面粗糙度 有限元法 复合材料 曲面(拓扑) 表面光洁度 冶金 结构工程 几何学 数学 工程类
作者
Shuang Chen,Mingming Lu,Jieqiong Lin,Qiang Liu,Yongsheng Du,Shun‐Ping Zhao
出处
期刊:Journal of Reinforced Plastics and Composites [SAGE]
标识
DOI:10.1177/07316844241248511
摘要

The silicon carbide particle-reinforced matrix composites, or SiCp/Al, have excellent mechanical qualities, but producing them is quite difficult since the SiC particles’ and the Al matrix’s properties differ greatly from one another. During the cutting process, the Ra local oscillation phenomena takes place; that is, surface roughness seems to grow, decrease, and then increase as the cutting depth increases within a particular cutting depth range while maintaining the same cutting speed and feed. To find out why this behavior occurred, a cutting experiment and a simulation analysis of SiCp/Al composites were performed. Tests were conducted to find out how varied cutting depths affected surface roughness, and a finite element model for two-dimensional cutting was created. Based on the data, it can be concluded that Ra’s local oscillation phenomena is responsible for the surface quality at various cutting speeds. At 100 mm/s, 200 mm/s, 300 mm/s, and 400 mm/s, respectively, the mutation’s surface quality improved by 29.6%, 14.3%, 19.6%, and 30.7% prior to the cutting depth. The analysis is justified by the fact that the depth of cut is increasing, the way in which particles are removed has changed and the percentage of scratches appears to be decreasing. As aluminium is a plastic material, plastic deformation occurs during cutting by the sub-cutting edge of the extrusion, coating the machined surfaces and producing fine cracks rather than plough furrows. In a sense, increasing the cutting thickness results in larger chips, more force on the particles in the cutting path and easier removal. At the same time, it reduces the width of the chip in future cuts, improving the surface quality of the process.
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
茶博士发布了新的文献求助10
刚刚
专通下水道完成签到 ,获得积分10
5秒前
5秒前
5秒前
nenoaowu发布了新的文献求助30
5秒前
小马甲应助章家炜采纳,获得10
7秒前
赵李艺完成签到 ,获得积分10
7秒前
完美世界应助高大黄蜂采纳,获得10
8秒前
9秒前
9秒前
9秒前
zhangzhen发布了新的文献求助10
10秒前
马桶盖盖子完成签到 ,获得积分10
10秒前
11秒前
学术小白完成签到,获得积分10
11秒前
11秒前
郭豪琪发布了新的文献求助10
12秒前
认真丹亦完成签到 ,获得积分10
13秒前
周冬华完成签到,获得积分10
13秒前
烟花应助阔达的平卉采纳,获得10
13秒前
敦敦完成签到,获得积分20
13秒前
nenoaowu完成签到,获得积分10
13秒前
迟大猫应助Hangerli采纳,获得20
14秒前
自信安荷完成签到,获得积分10
14秒前
15秒前
15秒前
赵OO发布了新的文献求助10
15秒前
daniel发布了新的文献求助10
16秒前
敦敦发布了新的文献求助10
16秒前
Apocalypse_zjz完成签到,获得积分10
17秒前
福尔摩曦发布了新的文献求助30
18秒前
开心发布了新的文献求助10
18秒前
zzzzz完成签到,获得积分10
18秒前
18秒前
赵银志完成签到 ,获得积分10
19秒前
19秒前
郭豪琪完成签到,获得积分10
20秒前
20秒前
麦兜完成签到 ,获得积分10
20秒前
慕青应助wjx采纳,获得10
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824