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Evaluation of machining system dynamic stiffness
KTH, School of Industrial Engineering and Management (ITM), Centres, Design and Management of Manufacturing Systems, DMMS. KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-9185-4607
KTH, School of Industrial Engineering and Management (ITM), Centres, Design and Management of Manufacturing Systems, DMMS. KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2007 (English)In: Swedish Production Symposium: Gothenburg, Sweden, 2007, 2007Conference paper, Published paper (Refereed)
Abstract [en]

Today’s test methods are analysing machine tool specific characteristics but leaves out to a great deal the machining process. In this paper an evaluation method for determining machining system dynamic characteristics is discussed. For machine capability analysis, the overall elastic structure must be considered, i.e., machine tool – fixture – workpiece – toolholder – tool. Regarding dynamic behaviour of machining systems, the stability can only be evaluated through the interaction between the two subsystems, elastic structure and cutting process. In order to analyse the join machining system, stochastic discrete models, ARMA models are used to identify the stability of the join system, elastic structure – machining process.

Place, publisher, year, edition, pages
2007.
Keyword [en]
Machining system, dynamic stiffness, model based vibration analysis, ARMA models
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-25876OAI: oai:DiVA.org:kth-25876DiVA: diva2:360388
Note
QC 20101103Available from: 2010-11-03 Created: 2010-11-03 Last updated: 2010-11-03Bibliographically approved
In thesis
1. Model-Based Investigation of Machining Systems Characteristics: Static and Dynamic Stability Analysis
Open this publication in new window or tab >>Model-Based Investigation of Machining Systems Characteristics: Static and Dynamic Stability Analysis
2008 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The increasing demands for precision and efficiency in machining call for new control strategies for machining systems based on the identification of static and dynamic characteristics under operational conditions. By considering the machining system as a closed-loop system consisting of a machine tool structure and a machining process, the join system characteristics can be analyzed. The capability of a machining system is mainly determined by its static and dynamic stiffness.

The goal of this thesis is to introduce some concepts and methods regarding the identification of machining system stability. Two methods are discussed, one for the static behaviour analysis of a machine tool, and one for dynamic stability of a machining system. Preliminary results are indicating unambiguous identification of capabilities of machining systems static and dynamic characteristics.

The static behaviour of a machine tool is evaluated by use of a loaded double ball bar (LDBB) device. The device reproduces the real interaction between the join system, the machine tool elastic structure and the cutting process. This load is not equivalent to real cutting forces, but it does have a similar effect on the structure. This has been investigated both trough simulation and experimental work.

It is possible to capture the process – ­machine interaction in a machining system by use of the model-based identification approach. The identification approach takes into consideration this interaction and can therefore be used to characterize the machining system under operational conditions. The approach provides realistic prerequisites for in-process machining system testing. The model parameters can be further employed for control and optimization of the cutting process. Using different classification schemes, the model-based identification method is promising for the detection of instability.

Furthermore, it is the author’s belief that a model-based stability analysis approach is needed to exploit the full potential of a model driven parts manufacturing approach.

Place, publisher, year, edition, pages
Stockholm: KTH, 2008. ix, 62 p.
Series
Trita-IIP, ISSN 1650-1888 ; 08-13
Keyword
Machining systems, modelling
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-9754 (URN)978-91-7415-196-1 (ISBN)
Presentation
2008-12-15, Brinellsalen M312, Brinellvägen 68, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Note
QC 20101103Available from: 2008-12-11 Created: 2008-12-09 Last updated: 2010-11-03Bibliographically approved

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Archenti, Andreas

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