Predicting mobile machine tool dynamics by experimental dynamic substructuring
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Predicting mobile machine tool dynamics prior to moving the machine to a new part and/or location is essential to guide first-time-right in situ machining solutions. This paper considers such a priori prediction of assembled dynamics under varying base/part/contact characteristics by applying dynamic substructuring procedures. Assembled dynamics are predicted by substructural coupling of the machine's known free-free response with the known response of any base/part measured at location. Since obtaining the machine's free-free response remains non-trivial, we instead extract the machine's dynamics using substructure decoupling procedures. Substructuring is carried out using measured frequency response functions. Methods are tested for robustness, and are experimentally validated.
Details
Original language | English |
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Pages (from-to) | 127-134 |
Number of pages | 8 |
Journal | International Journal of Machine Tools and Manufacture |
Volume | 108 |
Publication status | Published - 1 Sept 2016 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Dynamics, Experimental substructuring, Frequency response functions, Mobile machine tool