Handling Ambient Temperature Changes in Correlative Thermal Error Compensation
1
Automation and Monitoring, Fraunhofer IWU Chemnitz, Germany
2
Machine Tools, Fraunhofer IWU Chemnitz, Germany
3
IWP, Production Systems and Processes, Chemnitz University of Technology, Germany
Submission date: 2023-07-25
Final revision date: 2023-11-15
Acceptance date: 2023-11-17
Online publication date: 2023-11-20
Publication date: 2023-12-14
Corresponding author
Christian Naumann
Automation and Monitoring, Fraunhofer IWU Chemnitz, Reichenhainer Str. 88, 09126, Chemnitz, Germany
Automation and Monitoring, Fraunhofer IWU Chemnitz, Reichenhainer Str. 88, 09126, Chemnitz, Germany
Journal of Machine Engineering 2023;23(4):43-63
KEYWORDS
TOPICS
ABSTRACT
Thermal errors are one of the lead causes for positioning inaccuracies in modern machine tools. These errors are caused by various internal and external heat sources and sinks which shape the machine tool’s temperature field and thus its deformation. Model based thermal error prediction and compensation is one way to reduce these inaccuracies. A new composite correlative model for the compensation of both internal and external thermal effects is presented. The composite model consists a submodel for slow long and medium-term ambient changes, one for short-term ambient changes and one for all internal thermal influences. A number of model assumptions is made to allow for this separation of thermal effects. The model was trained using a large number of FE simulations and validated online in a five-axis machine tool with measurements in a climate chamber. Despite the limitations, the compensation model achieved good predictions of the thermal error for both normal ambient conditions (21°C) and extreme ambient conditions (35°C).
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CITATIONS (1):
1.
Concept of Integrating a Hybrid Thermal Error Compensation Into an Existing Machine Tool Control Architecture
Alexander Geist, Muhammad Faisal Yaqoob, Christian Friedrich, Christian Naumann, Steffen Ihlenfeldt
Journal of Machine Engineering
Alexander Geist, Muhammad Faisal Yaqoob, Christian Friedrich, Christian Naumann, Steffen Ihlenfeldt
Journal of Machine Engineering
| eISSN: | 2391-8071 |
| ISSN: | 1895-7595 |
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