Modelling of surface morphology and roughness in fluid jet polishing

抛光 磨料 喷射(流体) 表面粗糙度 材料科学 表面光洁度 机械工程 机械加工 微尺度化学 机械 计算机科学 工程制图 复合材料 冶金 物理 工程类 数学 数学教育
作者
Zili Zhang,Chi Fai Cheung,Chunjin Wang,Jiang Guo
出处
期刊:International Journal of Mechanical Sciences [Elsevier BV]
卷期号:242: 107976-107976 被引量:30
标识
DOI:10.1016/j.ijmecsci.2022.107976
摘要

Fluid jet polishing (FJP) has been extensively used in various kinds of fields such as precision molding, optical components, etc. However, previous works mainly focused on the material removal process on the macro-scale (e.g., tool influence function, surface generation) to improve the form accuracy, the understanding of surface morphology evolution of FJP on the micro-scale is still far from complete, which makes it difficult to predict the surface quality under certain polishing conditions. Time-consuming and high-cost trial and error are usually needed to obtain suitable polishing conditions for specific surface quality requirements. In this paper, a physical model was developed to predict the surface morphology and roughness after FJP, by combining the computational fluid dynamics (CFD) simulation and kinetic analysis of the abrasives. The single abrasive erosion process including indentation action, ploughing action, and cutting action was analyzed by kinetic analysis. Besides, the overlap of single abrasive erosion pits was modeled to simulate the surface morphology evolution in FJP and determine the surface roughness after polishing. Different parameters were considered in the model including jet pressure, jet angle, and abrasive size. A series of polishing experiments were conducted to validate this model and the effect of different polishing parameters on surface quality was elucidated by the impact velocity distribution and erosion morphologies. It is found that the simulation results agree well with the experimental results. This paper not only provides a deeper understanding of the microscale material removal in FJP, but also provides an effective method for the prediction of surface roughness in FJP.
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
li完成签到 ,获得积分10
刚刚
刚刚
田様的应助被科研通管家采纳,获得10
1秒前
1秒前
aajhajkahna的应助被科研通管家采纳,获得10
1秒前
Yinxb的应助被科研通管家采纳,获得20
1秒前
小马甲的应助被科研通管家采纳,获得50
2秒前
脑洞疼的应助被科研通管家采纳,获得10
2秒前
Yann的应助被科研通管家采纳,获得30
2秒前
2秒前
脑洞疼的应助被科研通管家采纳,获得10
2秒前
小猪的应助被科研通管家采纳,获得30
2秒前
烟花的应助被科研通管家采纳,获得10
2秒前
3秒前
3秒前
爆米花的应助被科研通管家采纳,获得10
3秒前
3秒前
aajhajkahna的应助被科研通管家采纳,获得10
3秒前
4秒前
4秒前
橘子kkkk发布了新的文献求助30
4秒前
uuu的应助被科研通管家采纳,获得50
4秒前
4秒前
4秒前
深情安青的应助被科研通管家采纳,获得10
4秒前
4秒前
李爱国的应助被科研通管家采纳,获得10
4秒前
4秒前
小蘑菇的应助被科研通管家采纳,获得10
4秒前
所所的应助被科研通管家采纳,获得10
4秒前
张佳佳发布了新的文献求助10
4秒前
4秒前
Rita的应助被科研通管家采纳,获得10
5秒前
Saturday发布了新的文献求助10
5秒前
5秒前
赘婿的应助被科研通管家采纳,获得10
5秒前
DW的应助被科研通管家采纳,获得10
5秒前
学霸业的应助被科研通管家采纳,获得10
5秒前
无花果的应助被away采纳,获得30
5秒前
雨儿发布了新的文献求助10
6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
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1000
Practical Manual of Forensic Psychophysiology: Methodology, Execution, and Fields of Application 800
Rosenblum, Global Change Biology 800
Final Report for the 2-D Test of Model 901 Rotor and Wing Airfoils (BSWT 592) 528
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
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 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7907534
求助须知:如何正确求助?哪些是违规求助? 9411585
关于积分的说明 20893713
捐赠科研通 7507932
什么是DOI,文献DOI怎么找? 3361951
关于科研通互助平台的介绍 2499858
邀请新用户注册赠送积分活动 2392183