Témakiírások
Technics for avoiding self-excited machine tool vibration
témakiírás címe
Technics for avoiding self-excited machine tool vibration
doktori iskola
témakiíró
tudományág
témakiírás leírása
a.) Preliminaries:
During the operation of machine tools, various vibrations can occur, which can significantly affect the quality of the machined workpiece. In addition to transient and stationary vibrations, self-excited vibrations, which are difficult to predict, may also arise. Transient and stationary vibration phenomena are fundamentally unavoidable, and their impact on surface quality is generally accepted. However, by properly tuning the technological parameters, their effects can be reduced. Self-excited vibrations, on the other hand, are difficult to predict and often arise suddenly, causing damage to both the workpiece and the machine tool. Their prediction and reduction are major challenges in the machine tool industry.
b.) Aim of research:
The goal is to develop practical techniques based on theoretical principles that can detect and eliminate self-excited vibrations occurring during machining processes or mitigate their effects. The theoretical formulation of the problem is of critical importance, as the aim is to create models that are also applicable in real-world scenarios, including actual machining centers. It is necessary to extend the dynamics of machine tools with a properly tuned internal control loop to establish the foundations of a scientifically grounded vibration diagnostics and intervention system that is practical and usable in real-life applications.
c.) Tasks, main items, necessary time:
Literature Review: Dynamics of delayed systems, bifurcation theory, and machining processes. (0.5–1 year)
Development of Algorithms: Dynamic modeling of the control loop of machine tools and its integration with the regenerative, multi-degree-of-freedom modal model of machine tools.
Testing of Model Results: Experimental validation under laboratory and real-world conditions using a modified machine tool for testing. Comparison of theoretical results with measurement data. Establishment of a simplified measurement environment. (1–1.5 years)
Publication Work:
Year 1: National and international conferences
Year 2: International conference and IF journal article
Year 3: International conference and IF journal articles
Year 4: Dissertation writing
d.) Required equipment:
The equipment necessary for conducting the research is available at the Department of Applied Mechanics at BME. Existing resources include: computer infrastructure, vibration sensors, and analog-to-digital converters.
Experimental equipment: 3-axis milling machine, vibration and force measurement systems.
e.) Expected scientific results:
Based on the achieved scientific results, a diagnostic and intervention system can be developed to enhance the productivity of machine tools, considering that in most cases, the appearance of self-excited vibrations limits performance increases. The scientific findings align with current research and industrial trends, enabling the development of automatic intervention capabilities for machine tools. Successful fundamental research is expected to result in multiple impact-factor journal articles and international conference presentations.
f.) References:
[1] Stepan, G., Hajdu, D., Iglesias, A., Takacs, D., Dombovari, Z., Ultimate capability of variable pitch milling cutters, CIRP Annals (2018), accepted, pp 1-4.
[2] Dombovari, Z., Dominant modal decomposition method, JOURNAL OF SOUND AND VIBRATION (2017), 392, pp 56-69.
[3] Munoa, J., Beudaert, X., Dombovari, Z., Altintas, Y., Budak, E., Brecher, C. , Stepan, G., Chatter suppression techniques in metal cutting, CIRP Annals (2016) 65 (2), pp. 785-808
[4] Dombovari Z, Stepan G: On the bistable zone of milling processes, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A (2015) 373: (2051) pp.1-17
[5] Zatarain M, Alvarez J, Bediaga I, Munoa J, Dombovari Z: Implicit subspace iteration as an efficient method to compute milling stability lobe diagrams, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015) 77:(1-4) pp. 597-607.
[6] Mancisidor I, Urkiola A, Barcena R, Munoa J, Dombovari Z, Zatarain M: Receptance coupling for tool point dynamic prediction by fixed boundaries approach, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2014) 78: pp. 18-29.
[7] Stepan G, Munoa J, Insperger T, Suricoc M, Bachrathy D, Dombovari Z: Cylindrical milling tools: Comparative real case study for process stability, CIRP ANNALS-MANUFACTURING TECHNOLOGY (2014) 63:(1) pp. 385-388.
During the operation of machine tools, various vibrations can occur, which can significantly affect the quality of the machined workpiece. In addition to transient and stationary vibrations, self-excited vibrations, which are difficult to predict, may also arise. Transient and stationary vibration phenomena are fundamentally unavoidable, and their impact on surface quality is generally accepted. However, by properly tuning the technological parameters, their effects can be reduced. Self-excited vibrations, on the other hand, are difficult to predict and often arise suddenly, causing damage to both the workpiece and the machine tool. Their prediction and reduction are major challenges in the machine tool industry.
b.) Aim of research:
The goal is to develop practical techniques based on theoretical principles that can detect and eliminate self-excited vibrations occurring during machining processes or mitigate their effects. The theoretical formulation of the problem is of critical importance, as the aim is to create models that are also applicable in real-world scenarios, including actual machining centers. It is necessary to extend the dynamics of machine tools with a properly tuned internal control loop to establish the foundations of a scientifically grounded vibration diagnostics and intervention system that is practical and usable in real-life applications.
c.) Tasks, main items, necessary time:
Literature Review: Dynamics of delayed systems, bifurcation theory, and machining processes. (0.5–1 year)
Development of Algorithms: Dynamic modeling of the control loop of machine tools and its integration with the regenerative, multi-degree-of-freedom modal model of machine tools.
Testing of Model Results: Experimental validation under laboratory and real-world conditions using a modified machine tool for testing. Comparison of theoretical results with measurement data. Establishment of a simplified measurement environment. (1–1.5 years)
Publication Work:
Year 1: National and international conferences
Year 2: International conference and IF journal article
Year 3: International conference and IF journal articles
Year 4: Dissertation writing
d.) Required equipment:
The equipment necessary for conducting the research is available at the Department of Applied Mechanics at BME. Existing resources include: computer infrastructure, vibration sensors, and analog-to-digital converters.
Experimental equipment: 3-axis milling machine, vibration and force measurement systems.
e.) Expected scientific results:
Based on the achieved scientific results, a diagnostic and intervention system can be developed to enhance the productivity of machine tools, considering that in most cases, the appearance of self-excited vibrations limits performance increases. The scientific findings align with current research and industrial trends, enabling the development of automatic intervention capabilities for machine tools. Successful fundamental research is expected to result in multiple impact-factor journal articles and international conference presentations.
f.) References:
[1] Stepan, G., Hajdu, D., Iglesias, A., Takacs, D., Dombovari, Z., Ultimate capability of variable pitch milling cutters, CIRP Annals (2018), accepted, pp 1-4.
[2] Dombovari, Z., Dominant modal decomposition method, JOURNAL OF SOUND AND VIBRATION (2017), 392, pp 56-69.
[3] Munoa, J., Beudaert, X., Dombovari, Z., Altintas, Y., Budak, E., Brecher, C. , Stepan, G., Chatter suppression techniques in metal cutting, CIRP Annals (2016) 65 (2), pp. 785-808
[4] Dombovari Z, Stepan G: On the bistable zone of milling processes, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A (2015) 373: (2051) pp.1-17
[5] Zatarain M, Alvarez J, Bediaga I, Munoa J, Dombovari Z: Implicit subspace iteration as an efficient method to compute milling stability lobe diagrams, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015) 77:(1-4) pp. 597-607.
[6] Mancisidor I, Urkiola A, Barcena R, Munoa J, Dombovari Z, Zatarain M: Receptance coupling for tool point dynamic prediction by fixed boundaries approach, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2014) 78: pp. 18-29.
[7] Stepan G, Munoa J, Insperger T, Suricoc M, Bachrathy D, Dombovari Z: Cylindrical milling tools: Comparative real case study for process stability, CIRP ANNALS-MANUFACTURING TECHNOLOGY (2014) 63:(1) pp. 385-388.
felvehető hallgatók száma
1 fő
helyszín
BME Department of Applied Mechanics
jelentkezési határidő
2026-04-30