Ju S, Reitenspieß M, Zhang K, Hanenkamp N (2023)
Publication Language: English
Publication Type: Book chapter / Article in edited volumes
Publication year: 2023
Publisher: Springer
Edited Volumes: Manufacturing Driving Circular Economy. GCMS 2022
Series: Lecture Notes in Mechanical Engineering
City/Town: Cham
Pages Range: 12-20
ISBN: 978-3-031-28839-5
URI: https://link.springer.com/chapter/10.1007/978-3-031-28839-5_2#chapter-info
DOI: 10.1007/978-3-031-28839-5_2
Open Access Link: https://link.springer.com/chapter/10.1007/978-3-031-28839-5_2#chapter-info
In machining processes, system-immanent process vibrations lead not only to lower surface quality of workpieces but also to the degradation of the machine and tool wear. Effectively minimizing process vibration amplitudes without costly software or hardware add-ons is a research topic that demands further investigation. In this regard, this article focuses on the further development of a holistic milling process model as well as the experimental and simulation-based vibration analysis. The interaction between the nonlinear behaviors of the cascade controlled electric motors and the process parameters are practically evaluated. Moreover, based on the experimental and simulation results, a correlation analysis of the machine control parameters and the process vibration amplitude has been implemented.
APA:
Ju, S., Reitenspieß, M., Zhang, K., & Hanenkamp, N. (2023). Model-Based Correlation Analysis of Machine Control Parameters and Process Vibration Amplitudes by the Example of Milling. In Holger Kohl, Günther Seliger, Franz Dietrich (Eds.), Manufacturing Driving Circular Economy. GCMS 2022. (pp. 12-20). Cham: Springer.
MLA:
Ju, Shu, et al. "Model-Based Correlation Analysis of Machine Control Parameters and Process Vibration Amplitudes by the Example of Milling." Manufacturing Driving Circular Economy. GCMS 2022. Ed. Holger Kohl, Günther Seliger, Franz Dietrich, Cham: Springer, 2023. 12-20.
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