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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Qi, M | - |
| dc.contributor.author | Wang, H | - |
| dc.contributor.author | Sun, X | - |
| dc.contributor.author | Li, T | - |
| dc.contributor.author | Guo, Y | - |
| dc.contributor.author | Wu, T | - |
| dc.date.accessioned | 2025-11-05T12:32:05Z | - |
| dc.date.available | 2025-03-17 | - |
| dc.date.available | 2025-11-05T12:32:05Z | - |
| dc.date.issued | 2025-03-17 | - |
| dc.identifier | ORCiD: Han Wang https://orcid.org/0000-0002-1349-7226 | - |
| dc.identifier | ORCiD: Xizhi Sun https://orcid.org/0000-0001-9703-1601 | - |
| dc.identifier | ORCiD: Tianjian Li https://orcid.org/0000-0002-1888-7143 | - |
| dc.identifier | Article number: 4 | - |
| dc.identifier.citation | Qi, M. et al. (2025) 'Simulation and optimization of CNC cylindrical grinder Performance based on equivalent analysis of joints spring-damping characteristics', International Journal of Metrology and Quality Engineering, 16, 4, pp. 1 - 9. doi: 10.1051/ijmqe/2025002. | en_US |
| dc.identifier.issn | 2107-6839 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/32289 | - |
| dc.description | Data availability statement: The datasets used or analyzed during the current study are available from the corresponding author on reasonable request. | en_US |
| dc.description.abstract | This paper focuses on the MKE1620A CNC cylindrical grinder, using an equivalent analysis of the joint spring-damping characteristics to investigate the overall performance of the grinder and propose directions for design optimization. A total of 168 spring-damper elements were established to model the fixed, movable, and bearing joints. These elements were classified and calculated to determine their parameters, which were then incorporated into a finite element analysis model to examine the impact of joint stiffness on the static and dynamic performance of the machine tool, with results showing less than a 10% error compared to actual measured data. Additionally, the paper investigates how the quality of six common structural materials influences the first-order natural frequency of components and explores the relationship between variations in joint stiffness and changes in the machine tool’s natural frequency. The findings provide theoretical and data-driven insights for the design and optimization of CNC cylindrical grinding machines, serving as a valuable reference for enhancing machine tool performance and machining quality. | en_US |
| dc.description.sponsorship | This research is supported by Undergraduate-postgraduate Integrated Curriculum Development Project (No. BY202406) and 2023 Shanghai Education Commission Young Teacher Training Subsidy Program. | en_US |
| dc.format.extent | 1 - 9 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | EDP Sciences | en_US |
| dc.rights | Creative Commons Attribution 4.0 International | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | CNC cylindrical grinding machines | en_US |
| dc.subject | joints stiffness | en_US |
| dc.subject | spring-damping characteristics | en_US |
| dc.subject | performance simulation | en_US |
| dc.title | Simulation and optimization of CNC cylindrical grinder Performance based on equivalent analysis of joints spring-damping characteristics** | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1051/ijmqe/2025002 | - |
| dc.relation.isPartOf | International Journal of Metrology and Quality Engineering | - |
| pubs.publication-status | Published | - |
| pubs.volume | 16 | - |
| dc.identifier.eissn | 2107-6847 | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dc.rights.holder | M. Qi et al. | - |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © M. Qi et al., Published by EDP Sciences, 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 1.93 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License