On-machine workpiece straightness profile measurement using a hybrid Fourier 3-sensor method

傅里叶变换 机床 算法 研磨 拉普拉斯变换 计算机科学 数学 机械工程 工程类 数学分析
作者
Pu Huang,Shengyu Shi,Jian‐Wei Xie,Han Haitjema,Zengyuan Niu,Quanpeng He,Kuo-Chang Lu
出处
期刊:Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology [Elsevier]
卷期号:79: 190-199 被引量:2
标识
DOI:10.1016/j.precisioneng.2022.10.002
摘要

To compensate for the straightness error of the slide of a machine tool efficiently and precisely, on-machine self-calibrating measurement of the manufacturing error is critical. The Fourier 3-sensor (F3S) method proposed by Fung is promising in measuring the straightness profile of a workpiece accurately on a machine. However, it still suffers from two main challenges: the height difference between the second and the third probes and the stochastic uncertainty, both of which can significantly decrease the measurement precision. In this paper, we counter these two challenges, respectively, and propose the solutions accordingly. First of all, by resorting to the Laplace transform, an algorithm for the F3S method is proposed. Second, the adverse effect of the height difference between the second and the third probes is demonstrated. An approach is presented for estimating the height difference, and compensating for this. Third, to alleviate the stochastic uncertainty, a hybrid F3S method is developed: several F3S measurements are first performed under different probe spacings; then, the optimal Fourier coefficients of the straightness profile are individually selected from the candidate estimates in accordance to the determinant of the transfer matrix. Finally, practical straightness profile measurements were performed, respectively, on a grinding machine by adopting the hybrid F3S method and on a Taylor Hobson surface profiler. The results show that compared with the conventional F3S method, the hybrid F3S method reduced the measurement uncertainty significantly, and the straightness profiles estimated by the hybrid method and by the surface profiler were consistent with each other.
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
麦满分完成签到,获得积分10
刚刚
长度2到发布了新的文献求助10
刚刚
Alicia完成签到,获得积分10
1秒前
西瓜大虫完成签到,获得积分10
1秒前
害羞聋五发布了新的文献求助10
2秒前
prosperp完成签到,获得积分0
2秒前
Hongsong完成签到,获得积分20
2秒前
prosperp应助背侧丘脑采纳,获得10
3秒前
好好发布了新的文献求助10
3秒前
gaos发布了新的文献求助10
3秒前
einuo发布了新的文献求助10
4秒前
001完成签到,获得积分20
4秒前
李健应助阔达萧采纳,获得10
4秒前
陆离发布了新的文献求助10
4秒前
5秒前
66应助雪白红紫采纳,获得10
5秒前
英俊的铭应助东郭南松采纳,获得10
5秒前
YANG完成签到 ,获得积分10
6秒前
冷酷哈密瓜完成签到,获得积分10
7秒前
岁月流年完成签到,获得积分10
7秒前
7秒前
8秒前
8个老登发布了新的文献求助10
9秒前
douzi完成签到,获得积分10
9秒前
Li完成签到,获得积分10
9秒前
Macaco完成签到,获得积分10
10秒前
研友_8Yo3dn完成签到,获得积分10
10秒前
lilac完成签到,获得积分10
10秒前
misalia发布了新的文献求助10
10秒前
judy发布了新的文献求助10
10秒前
11秒前
李健的小迷弟应助称心铭采纳,获得30
11秒前
11秒前
adfadf发布了新的文献求助10
11秒前
CC完成签到,获得积分10
11秒前
1234567890完成签到,获得积分10
11秒前
彩色夏波发布了新的文献求助10
12秒前
劲秉应助跳舞的俏皮采纳,获得20
12秒前
12秒前
wy.he完成签到,获得积分0
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
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
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 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678