Ozkirimli, O. orcid.org/0000-0002-5158-7038 and Ozturk, E. orcid.org/0000-0001-9982-2837 (2025) Increasing milling stability predictions accuracy considering speed dependent spindle behavior with an automated measurement device. CIRP Annals. ISSN 0007-8506
Abstract
Manufacturers seek to enhance productivity by investing in high-speed machine tools. However, at elevated spindle speeds, dynamic characteristics of spindles may change due to thermal loads on bearings, complicating the task of finding optimal spindle speeds. To address this issue, an automated measurement system was developed to evaluate dynamic characteristics of tooling assemblies under rotating conditions. The system employs a solenoid actuator for excitation and capacitance probes for response measurement. Dynamic measurements and milling tests were conducted on a 5-axis milling machine tool and benefits of the system in improving accuracy of stability prediction are presented.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Spindle; Measurement; Chatter |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > University of Sheffield Research Centres and Institutes > AMRC with Boeing (Sheffield) The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > AMRC with Boeing (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 May 2025 08:58 |
Last Modified: | 09 May 2025 08:58 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.cirp.2025.04.086 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:226363 |