Model Parameter Identification of a Machining Robot Using Joint Frequency Response Functions
Author:
Funder
Ministry of Trade, Industry and Energy
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12541-023-00890-9.pdf
Reference22 articles.
1. Pham, A.-D., & Ahn, H.-J. (2021). Rigid precision reducers for machining industrial robots. International Journal of Precision Engineering and Manufacturing, 22, 1469–1486.
2. Guo, Y., Dong, H., & Ke, Y. (2015). Stiffness-oriented posture optimization in robotic machining applications. Robotics and Computer-Integrated Manufacturing, 35, 69–76.
3. Lee, J. H., Kim, S. H., & Min, B.-K. (2022). Posture optimization in robotic drilling using a deformation energy model. Robotics and Computer-Integrated Manufacturing, 78, 102395.
4. Kim, M., Park, H.-W., & Lee, S.-K. (2022). Investigation of machining stability considering thermal and rotation effect: Effectiveness of impact excitation for a rotating spindle. International Journal of Precision Engineering and Manufacturing, 23, 1143–1162.
5. Pan, Z., Zhang, H., Zhu, Z., & Wang, J. (2006). Chatter analysis of robotic machining process. Journal of materials processing technology, 173(3), 301–309.
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