重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

Hybrid-hybrid turning of micro-SiCp/AA2124 composites: A comparative study of laser-and-ultrasonic vibration-assisted machining

材料科学 机械加工 复合材料 超声波传感器 振动 超声波加工 激光器 激光功率缩放 机械工程 刀具磨损 声学 冶金 光学 工程类 物理
作者
Jin Kim,Lorenzo Zani,Ahmad Abdul-Kadir,Anish Roy,Konstantinos P. Baxevanakis,Lewis C. R. Jones,Vadim V. Silberschmidt
出处
期刊:Journal of Manufacturing Processes [Elsevier]
卷期号:86: 109-125 被引量:27
标识
DOI:10.1016/j.jmapro.2022.12.045
摘要

Machining of micro SiCp/AA2124 composites remains a challenge with conventional machining yielding poor surface quality with high tool wear. In this paper, we study two distinct and unique hybrid machining processes with the aim of improving the machining outcome of three types of micro-SiC/AA2124 composites with different particulate volume fractions and sizes. The class of composites studied is available commercially and is being used in industrial applications, thus assessing the machining outcomes becomes even more pertinent. Vibratory machining where the tool is made to vibrate at ultrasonic frequencies, known as ultrasonically assisted turning (UAT), is shown to yield some clear improvements in machining. Next, we incorporate laser assistance with the goal of inducing thermal softening in the process zone. This hybrid-hybrid machining process which is referred to as laser-ultrasonic-assisted turning (LUAT) has the potential for improved machining outcomes with significantly reduced machining forces and surface topology improvement. Our studies indicate that an optimum laser power exists for each type of metal matrix composite considering the particle size and volume fraction of the particulate reinforcements yielding benefits in terms of machining force reduction, surface topology improvement and potentially tool life enhancement. In addition, a computational machining model was developed which can be used to predict the machining outcomes with variable machining parameters.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
张丫丫发布了新的文献求助10
刚刚
小二郎应助勤劳山灵采纳,获得10
刚刚
充电宝应助1128采纳,获得10
1秒前
英俊的铭应助我是聪聪呦采纳,获得10
1秒前
1秒前
1秒前
库儿拉索发布了新的文献求助10
1秒前
小蘑菇应助aaxs采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
Eric完成签到,获得积分10
2秒前
123发布了新的文献求助10
4秒前
日落收藏家完成签到 ,获得积分10
4秒前
夏无极发布了新的文献求助10
4秒前
4秒前
无花果应助临澈采纳,获得10
5秒前
完美世界应助jingluo采纳,获得10
5秒前
丘比特应助LXL采纳,获得10
6秒前
SCI发布了新的文献求助10
6秒前
ggboy完成签到,获得积分20
7秒前
小白完成签到,获得积分10
7秒前
7秒前
7秒前
左一酱发布了新的文献求助10
7秒前
三橋gzzzzz完成签到,获得积分10
9秒前
包容翰完成签到,获得积分10
9秒前
9秒前
碧蓝豁完成签到,获得积分10
9秒前
9秒前
avalanche应助整齐麦片采纳,获得50
10秒前
赣南橙完成签到,获得积分10
10秒前
10秒前
酷波er应助cc采纳,获得10
11秒前
11秒前
11秒前
Owen应助美好斓采纳,获得10
11秒前
12秒前
12秒前
付2完成签到 ,获得积分10
13秒前
顾矜应助123采纳,获得10
13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
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5466072
求助须知:如何正确求助?哪些是违规求助? 4570135
关于积分的说明 14322892
捐赠科研通 4496608
什么是DOI,文献DOI怎么找? 2463448
邀请新用户注册赠送积分活动 1452319
关于科研通互助平台的介绍 1427516