Strategy for Compensation of Thermally Induced Displacements in Machine Structures Using Distributed Temperature Field Control
1
Institute of Mechatronic Engineering, Chair of Machine Tools Development and Adaptive Controls, Dresden University of Technology, Germany
2
Department for Cyber-Physical Production Systems (CPPS), Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany
Submission date: 2024-05-15
Final revision date: 2024-06-06
Acceptance date: 2024-06-06
Online publication date: 2024-08-30
Corresponding author
Pöhlmann Patrick
Institute of Mechatronic Engineering, Chair of Machine Tools Development and Adaptive Controls, Dresden University of Technology, Dresden, Germany
Institute of Mechatronic Engineering, Chair of Machine Tools Development and Adaptive Controls, Dresden University of Technology, Dresden, Germany
KEYWORDS
TOPICS
ABSTRACT
Thermal deformation is a major source of machining errors in modern machine tools. In addition to optimising the machine structure, correcting the axis position values in the numerical control is a common measure to reduce these errors. Another possibility is to directly influence the temperature field of the machine tool in the process, which requires a complex thermo-elastic modelling approach as well as appropriate thermal actuation and measurement capabilities. This paper presents a strategy for controlling the temperature field based on the eigenmodes of the thermal system. The various aspects of the concept are explained using a finite element model of an exemplary structural component. The basis is the modal analysis of the thermal system, which allows the temperature field to be described by independent discrete states. In addition to the placement of thermal sensors and actuators, this work focuses on the design of a suitable control approach. Transient simulation results are used to clearly demonstrate the performance of this method.
REFERENCES (20)
1.
MAYR J., et al., 2012, Thermal Issues in Machine Tools, CIRP Annals, 61/2, 771–791, https://doi.org/10.1016/ j.cirp.2012.05.008.
2.
SCHROEDER S., GALANT A., KAUSCHINGER B., BEITELSCHMIDT M., 2018, Efficient Modelling and Computation of Structure-Variable Thermal Behaviour of Machine Tools, Conference on Thermal Issues in Machine Tools, 2018, 13–22.
3.
WECK M. et al., 1995, Reduction and Compensation of Thermal Errors in Machine Tools, CIRP Annals, 44/2, 589–598, https://doi.org/10.1016/S0007-....
4.
KAUSCHINGER B., SCHROEDER S., 2014, Methods to Design the Adjustment of Parameters for Thermal Machine-Tool Models, Advanced Materials Research, Trans Tech Publications, Ltd., 1018, 403–410.
5.
CHEN J., YUAN S., NI J., 1996, Thermal Error Modelling for Real-Time Error Compensation, The International Journal of Advanced Manufacturing Technology, Springer Science and Business Media LLC, 12, 266–275.
6.
ZHU J., NI J., SHIH A.J., 1971, Robust Machine Tool Thermal Error Modeling Through Thermal Mode Concept, Journal of Manufacturing Science and Engineering, ASME International, 130, 0610061-0610069.
7.
MARES M., HOREJS O., HORNYCH J., SMOLIK J., 2013, Robustness and Portability of Machine Tool Thermal Error Compensation Model Based on Control of Participating Thermal Sources, Journal of Machine Engineering, 13, 24–36.
8.
FRASER S., ATTIA M.H., OSMAN M.O.M., 1999, Modelling, Identification and Control of Thermal Deformation of Machine Tool Structures, Part 4: A Multi-Variable Closed-Loop Control System, Journal of Manufacturing Science and Engineering, ASME International, 121, 509–551.
9.
HATAMURA Y., NAGAO T., MITSUISHI M., KATO K., TAGUCHI S., OKUMURA T., NAKAGAWA G., SUGISHITA H., 1993, Development of an Intelligent Machining Center Incorporating Active Compensation for Thermal Distortion, CIRP Annals – Manufacturing Technology, Elsevier BV, 42, 549–552.
10.
LI J.W., ZHANG W.J., YANG G.S., TU S.D., CHEN X.B., 2008, Thermal-Error Modeling for Complex Physical Systems: The-State-of-Arts Review, The International Journal of Advanced Manufacturing Technology, Springer Science and Business Media LLC, 42, 168–179.
11.
MATSUO M., YASUI T., INAMURA T., MATSUMURA M., 1986, High-Speed Test of Thermal Effects for a Machine-Tool Structure Based on Modal Analysis, Precision Engineering, Elsevier BV, 8, 72–78.
12.
BUENO R., ARZAMENDI J., ALMANDOZ X., 1997, Thermal Modal Analysis and Modelling of Machine-Tools, Integrated Design and Manufacturing in Mechanical Engineering, Springer Netherlands, 307–315.
13.
MARES M., HOREJS O., HORNYCH J., KOHUT P., 2011, Compensation of Machine Tool Angular Thermal Errors Using Controlled Internal Heat Sources, Journal of Machine Engineering, 11/4, 78–90.
14.
MORISHIMA T., VAN OSTAYEN R., VAN EIJK J., SCHMIDT R.H.M., 2015, Thermal Displacement Error Compensation in Temperature Domain, Precision Engineering, Elsevier BV, 42, 66–72.
15.
PREUMONT A., 2018, Vibration Control of Active Structures, Springer International Publishing.
16.
MEIROVITCH L., BARUH H., 1985, The Implementation of Modal Filters for Control of Structures, Journal of Guidance, Control and Dynamics, 8, 707–716.
17.
PEUKERT C., PÖHLMANN P., MERX M., MÜLLER J., IHLENFELDT S., 2019, Investigation of Local and Modal Based Active Vibration Control Strategies on the Example of an Elastic System, Journal of Machine Engineering, 19/2, 32–45.
18.
PÖHLMANN P., PEUKERT C., MERX M., MÜLLER J., IHLENFELDT S., 2020, Compliant Joints for the Improvement of the Dynamic Behaviour of a Gantry Stage with Direct Drives, Journal of Machine Engineering, 20/3, 17–29.
19.
BRAGHIN F., CINQUEMANI S., RESTA F., 2012, A New Approach to the Synthesis of Modal Control Laws in Active Structural Vibration Control, Journal of Vibration and Control, 19, 163–182.
20.
POPKEN J., SHABI L., WEBER J., WEBER J., 2018, System Modelling and Control Concepts of Different Cooling System Structures for Machine Tools, Conference on Thermal Issues in Machine Tools – proceedings, 93–106.
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| eISSN: | 2391-8071 |
| ISSN: | 1895-7595 |
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