Research output per year
Research output per year
J.E. Muelaner, B.R. Yang, C. Davy, M.R. Verma, P.G. Maropoulos
Research output: Contribution to journal › Article › peer-review
This paper describes work carried out to develop methods of verifying that machine tools are capable of machining parts to within specification, immediately before carrying out critical material removal operations, and with negligible impact on process times. A review of machine tool calibration and verification technologies identified that current techniques were not suitable due to requirements for significant time and skilled human intervention. A 'solution toolkit' is presented consisting of a selection circular tests and artefact probing which are able to rapidly verify the kinematic errors and in some cases also dynamic errors for different types of machine tool, as well as supplementary methods for tool and spindle error detection. A novel artefact probing process is introduced which simplifies data processing so that the process can be readily automated using only the native machine tool controller. Laboratory testing and industrial case studies are described which demonstrate the effectiveness of this approach.
Original language | English |
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Pages (from-to) | 431-438 |
Number of pages | 8 |
Journal | Procedia CIRP |
Volume | 25 |
Early online date | 10 Dec 2014 |
DOIs | |
Publication status | Published - 2014 |
Event | 8th international conference on Digital Enterprise Technology - Stuttgart, Germany Duration: 25 Mar 2014 → 28 Mar 2014 |
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review