Influence of machining parameters on micro-motion platform displacement during grinding Al-Mg alloys workpiece assisted by two-dimensional low-frequency vibration
Source abstract
Abstract
The main factors affecting the displacement of micro-motion platform during the grinding process are spindle speed, cutting force, and piezoelectric ceramic input voltage model. This article, using the orthogonal test method, found a set of machining parameters which lead to less displacement deviation between practical test and theoretic analysis. First of all, single-factor experiments were carried out to study how spindle speed, cutting force, and piezoelectric ceramic input voltage model affect the experimental results, and then the orthogonal test was conducted. The experimental datum shows that voltage model was the most influential factor, followed by spindle speed and cutting force. The optimum combination of grinding parameters was obtained as spindle speed of 800 r/min, cutting force of 18 N, and voltage model radius of 12 µm. At this time, the average unit error of displacement of micro-motion platform was 9.13%.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced machining processes and optimization · Advanced Surface Polishing Techniques · Advanced Machining and Optimization Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China
Funding
Key scientific research project of Jilin Provincial Department of Education · Key R&D Projects of the Ministry of Science and Technology of China · National Natural Science Foundation of China
References (11)
Show source-provided references
1. 10.1016/j.jmapro.2018.09.02910.1016/j.jmapro.2018.09.029 ↗
2. 10.1109/TNANO.2008.200582910.1109/TNANO.2008.2005829 ↗
3. Wang J · Precis Eng · 2019 · 56
4. 10.1016/j.mechmachtheory.2018.10.00510.1016/j.mechmachtheory.2018.10.005 ↗
5. 10.1016/j.ijmachtools.2006.07.00710.1016/j.ijmachtools.2006.07.007 ↗
6. 10.1109/TMECH.2010.205210710.1109/TMECH.2010.2052107 ↗
7. Ding B · 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014) · 1898
8. 10.3788/OPE.20162405.106510.3788/OPE.20162405.1065 ↗
9. Luo H · Int J Adv Manuf Technol · 2020 · 107
10. 10.1016/j.jmrt.2019.11.03710.1016/j.jmrt.2019.11.037 ↗
11. Kara F · J Balk Tribol Assoc · 2013 · 19 · 570