Wear mechanism analysis and its effect on the cutting process of CBN tools during laser ultrasonically assisted turning of tungsten carbide

碳化钨 材料科学 刀具磨损 机械加工 冶金 碳化物 脆性 氮化硼 复合材料
作者
Changjuan Zhang,Yongjing Cao,Feng Jiao,Junhao Wang
出处
期刊:International Journal of Refractory Metals & Hard Materials [Elsevier]
卷期号:118: 106498-106498 被引量:7
标识
DOI:10.1016/j.ijrmhm.2023.106498
摘要

Tungsten carbide, known for its high hardness and brittleness, presents a challenge in traditional processes due to severe tool wear and shortened tool life, impacting machining efficiency. This paper introduces a hybrid turning method – laser ultrasonically assisted turning (LUAT) – for precision and efficient machining of tungsten carbide. LUAT combines tool ultrasonic vibration with laser-induced workpiece heating to enhance the cutting performance of tungsten carbide. Thermal modeling is utilized to determine suitable LUAT parameters. Comparative experiments are conducted to assess the advantages of LUAT in enhancing tool performance and improving surface quality. Results indicate that, compared to traditional turning, ultrasonically assisted turning, and laser assisted turning, LUAT significantly reduces tool wear and enhances tool lifespan. In LUAT of tungsten carbide, the tool wear on the rake face exhibits long strips parallel to the tool edge, while the flank face presents triangular wear land, shallow pits, and grooves. Investigation into wear characteristics and mechanisms of cubic boron nitride (CBN) tools reveals that adhesion, oxidation, and diffusion are major wear factors, with chipping and tipping being abnormal wear patterns for CBN tools. Intensified tool wear elevates cutting forces and cutting temperatures, deteriorating the surface quality of tungsten carbide turning. However, LUAT mitigates these effects, resulting in lower cutting forces and temperatures within the same wear time, improving surface quality.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
joey106发布了新的文献求助10
1秒前
1秒前
冲塔亚德发布了新的文献求助10
1秒前
1秒前
阳光湘发布了新的文献求助10
2秒前
2秒前
纪震宇发布了新的文献求助10
2秒前
3秒前
王八仙子发布了新的文献求助10
4秒前
认真凝安发布了新的文献求助10
5秒前
啦啦啦发布了新的文献求助10
6秒前
6秒前
万灵竹发布了新的文献求助10
7秒前
Viola完成签到,获得积分10
7秒前
yali完成签到,获得积分10
7秒前
MPJ.发布了新的文献求助10
7秒前
alexan完成签到,获得积分10
8秒前
10秒前
莞尔wr1完成签到 ,获得积分10
11秒前
14秒前
15秒前
大模型应助莞尔wr1采纳,获得10
16秒前
充电宝应助万灵竹采纳,获得10
17秒前
CodeCraft应助豆花采纳,获得30
18秒前
19秒前
19秒前
邢海鑫应助文件撤销了驳回
22秒前
今后应助柒柒大魔王采纳,获得10
22秒前
Zed发布了新的文献求助10
23秒前
大白发布了新的文献求助20
24秒前
25秒前
25秒前
大蒜味酸奶钊完成签到 ,获得积分10
26秒前
充电宝应助呆瓜采纳,获得10
26秒前
Peter完成签到,获得积分10
27秒前
27秒前
FashionBoy应助Zed采纳,获得10
27秒前
我是老大应助祗想静静嘚采纳,获得10
28秒前
ylkk发布了新的文献求助10
28秒前
悠悠发布了新的文献求助10
30秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3129723
求助须知:如何正确求助?哪些是违规求助? 2780500
关于积分的说明 7748555
捐赠科研通 2435832
什么是DOI,文献DOI怎么找? 1294313
科研通“疑难数据库(出版商)”最低求助积分说明 623670
版权声明 600570