Material removal mechanism and corresponding models in the grinding process: A critical review

研磨 材料科学 过程(计算) 机制(生物学) 工艺工程 机械工程 冶金 计算机科学 工程类 哲学 认识论 操作系统
作者
Changxu Wei,Chong He,Guang Chen,Yongquan Sun,Chengzu Ren
出处
期刊:Journal of Manufacturing Processes [Elsevier]
卷期号:103: 354-392 被引量:20
标识
DOI:10.1016/j.jmapro.2023.08.045
摘要

Grinding is a key technology for difficult-to-machine materials, e.g., super alloys, ceramics, and composites. The material removal behavior is dependent on almost all grinding parameters, which have a strong effect on the grinding force, shape accuracy and surface integrity. However, due to the complex mechanism and numerous influencing factors in the grinding process, it is difficult to establish an accurate mathematical model to systematically analyse the work material removal behavior. To understand the current status and future trends of material removal in the grinding process, this paper adopts a systematic review approach to summarize the research findings that investigate the influencing factors and corresponding models of the material removal rate (MRR) for the grinding process. The material removal mechanism of grinding is first discussed, in which the influencing factors of material removal in the grinding process are analysed. Subsequently, research progress on prediction models for material removal is summarized according to the influencing factors. Meanwhile, the application of the material removal model is well demonstrated due to its ability to accurately control the MMR and simulate the grinding process. Finally, in regard to the above academic achievements, conclusions and future trends in material removal analysis for grinding processes are given.
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
CodeCraft应助交钱上班采纳,获得30
刚刚
Hello应助roy采纳,获得10
1秒前
打打应助roy采纳,获得10
1秒前
wanci应助roy采纳,获得10
1秒前
丘比特应助roy采纳,获得10
1秒前
1秒前
星空完成签到,获得积分10
1秒前
2秒前
2秒前
内向的月饼完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
Y20完成签到,获得积分10
3秒前
4秒前
5秒前
冯浩关注了科研通微信公众号
6秒前
jjjiiii完成签到,获得积分20
6秒前
6秒前
陈枇杷发布了新的文献求助10
6秒前
SUE发布了新的文献求助10
6秒前
7秒前
鱼鱼完成签到,获得积分20
7秒前
7秒前
7秒前
唐尧发布了新的文献求助10
7秒前
pigwising完成签到,获得积分10
8秒前
未来不可期完成签到,获得积分10
9秒前
9秒前
zyb发布了新的文献求助10
9秒前
多大的发布了新的文献求助10
9秒前
科研通AI2S应助1h1m采纳,获得10
10秒前
约礼发布了新的文献求助20
10秒前
10秒前
ma完成签到,获得积分10
10秒前
huanhuan发布了新的文献求助10
11秒前
鱼鱼发布了新的文献求助10
12秒前
111发布了新的文献求助10
12秒前
12秒前
花姐发布了新的文献求助10
12秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Wirkstoffdesign 1000
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
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 3128459
求助须知:如何正确求助?哪些是违规求助? 2779294
关于积分的说明 7742313
捐赠科研通 2434533
什么是DOI,文献DOI怎么找? 1293576
科研通“疑难数据库(出版商)”最低求助积分说明 623344
版权声明 600514